Numerical analysis computer assisted. Medical search

Computer-assisted study of methods for obtaining useful quantitative solutions to problems that have been expressed mathematically.

A computer in a medical context is an electronic device that processes, stores, and retrieves data, often used in medical settings for tasks such as maintaining patient records, managing diagnostic images, and supporting clinical decision-making through software applications and tools.

Computer-based representation of physical systems and phenomena such as chemical processes.

The systematic arrangement of entities in any field into categories classes based on common characteristics such as properties, morphology, subject matter, etc.

Deoxyribonucleic acid that makes up the genetic material of bacteria.

A technique of bacterial typing which differentiates between bacteria or strains of bacteria by their susceptibility to one or more bacteriophages.

Procedures for identifying types and strains of bacteria. The most frequently employed typing systems are BACTERIOPHAGE TYPING and SEROTYPING as well as bacteriocin typing and biotyping.

DNA sequences encoding RIBOSOMAL RNA and the segments of DNA separating the individual ribosomal RNA genes, referred to as RIBOSOMAL SPACER DNA.

Electrophoresis in which a polyacrylamide gel is used as the diffusion medium.

The relative amounts of the PURINES and PYRIMIDINES in a nucleic acid.

Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.

The deductive study of shape, quantity, and dependence. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)

Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.

Constituent of 30S subunit prokaryotic ribosomes containing 1600 nucleotides and 21 proteins. 16S rRNA is involved in initiation of polypeptide synthesis.

A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.

A computer based method of simulating or analyzing the behavior of structures or components.

Widely used technique which exploits the ability of complementary sequences in single-stranded DNAs or RNAs to pair with each other to form a double helix. Hybridization can take place between two complimentary DNA sequences, between a single-stranded DNA and a complementary RNA, or between two RNA sequences. The technique is used to detect and isolate specific sequences, measure homology, or define other characteristics of one or both strands. (Kendrew, Encyclopedia of Molecular Biology, 1994, p503)

Proteins found in any species of bacterium.

A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.

A genus of gram-negative, aerobic, rod-shaped bacteria widely distributed in nature. Some species are pathogenic for humans, animals, and plants.

The relationships of groups of organisms as reflected by their genetic makeup.

The outward appearance of the individual. It is the product of interactions between genes, and between the GENOTYPE and the environment.

Sequential operating programs and data which instruct the functioning of a digital computer.

A technique for identifying individuals of a species that is based on the uniqueness of their DNA sequence. Uniqueness is determined by identifying which combination of allelic variations occur in the individual at a statistically relevant number of different loci. In forensic studies, RESTRICTION FRAGMENT LENGTH POLYMORPHISM of multiple, highly polymorphic VNTR LOCI or MICROSATELLITE REPEAT loci are analyzed. The number of loci used for the profile depends on the ALLELE FREQUENCY in the population.

The attitude and behavior associated with an individual using the computer.

Process of determining and distinguishing species of bacteria or viruses based on antigens they share.

A purely physical condition which exists within any material because of strain or deformation by external forces or by non-uniform thermal expansion; expressed quantitatively in units of force per unit area.

The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.

The presence of bacteria, viruses, and fungi in water. This term is not restricted to pathogenic organisms.

The restriction of a characteristic behavior, anatomical structure or physical system, such as immune response; metabolic response, or gene or gene variant to the members of one species. It refers to that property which differentiates one species from another but it is also used for phylogenetic levels higher or lower than the species.

Ribonucleic acid in bacteria having regulatory and catalytic roles as well as involvement in protein synthesis.

Various units or machines that operate in combination or in conjunction with a computer but are not physically part of it. Peripheral devices typically display computer data, store data from the computer and return the data to the computer on demand, prepare data for human use, or acquire data from a source and convert it to a form usable by a computer. (Computer Dictionary, 4th ed.)

Familiarity and comfort in using computers efficiently.

Descriptions of specific amino acid, carbohydrate, or nucleotide sequences which have appeared in the published literature and/or are deposited in and maintained by databanks such as GENBANK, European Molecular Biology Laboratory (EMBL), National Biomedical Research Foundation (NBRF), or other sequence repositories.

A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis.

Systems composed of a computer or computers, peripheral equipment, such as disks, printers, and terminals, and telecommunications capabilities.

The rate dynamics in chemical or physical systems.

A type of MICROCOMPUTER, sometimes called a personal digital assistant, that is very small and portable and fitting in a hand. They are convenient to use in clinical and other field situations for quick data management. They usually require docking with MICROCOMPUTERS for updates.

Process of teaching a person to interact and communicate with a computer.

Input/output devices designed to receive data in an environment associated with the job to be performed, and capable of transmitting entries to, and obtaining output from, the system of which it is a part. (Computer Dictionary, 4th ed.)

Computers in which quantities are represented by physical variables; problem parameters are translated into equivalent mechanical or electrical circuits as an analog for the physical phenomenon being investigated. (McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)

Application of computer programs designed to assist the physician in solving a diagnostic problem.

A system containing any combination of computers, computer terminals, printers, audio or visual display devices, or telephones interconnected by telecommunications equipment or cables: used to transmit or receive information. (Random House Unabridged Dictionary, 2d ed)

The process of pictorial communication, between human and computers, in which the computer input and output have the form of charts, drawings, or other appropriate pictorial representation.

A self-learning technique, usually online, involving interaction of the student with programmed instructional materials.

Small computers that lack the speed, memory capacity, and instructional capability of the full-size computer but usually retain its programmable flexibility. They are larger, faster, and more flexible, powerful, and expensive than microcomputers.

Integrated set of files, procedures, and equipment for the storage, manipulation, and retrieval of information.

Computers whose input, output and state transitions are carried out by biochemical interactions and reactions.

Data processing largely performed by automatic means.

The visual display of data in a man-machine system. An example is when data is called from the computer and transmitted to a CATHODE RAY TUBE DISPLAY or LIQUID CRYSTAL display.

Text editing and storage functions using computer software.

Computer-based systems for input, storage, display, retrieval, and printing of information contained in a patient's medical record.

A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.

A form of interactive entertainment in which the player controls electronically generated images that appear on a video display screen. This includes video games played in the home on special machines or home computers, and those played in arcades.

Antigenic heterogeneity of the hepatitis C virus NS4 protein as modeled with synthetic peptides. (1/435)

The effect of sequence heterogeneity on the immunologic properties of two strong antigenic regions of the hepatitis C virus (HCV) NS4 protein was studied by using a set of 443 overlapping 20-mer synthetic peptides. One antigenic region comprising the cleavage site between NS4a and NS4b (region 5-1-1) was modeled with peptides derived from 73 different known sequences, representing HCV genotypes 1-6. The other antigenic region, designated region 59 and located at the C-terminus of the NS4b protein, was modeled with peptides from 7 known sequences representing genotypes 1-3. All peptides were tested for antigenic reactivity by enzyme immunoassay with a panel of anti-HCV-positive serum specimens representing genotypes 1-5. The data demonstrated that immunoreactive peptides fell into two groups. One group, represented by N-terminal peptides, demonstrated genotype-independent immunoreactivity; the other group, from the central part of region 5-1-1, showed strict genotype specificity. Nineteen peptides from the genotype-independent group strongly immunoreacted with a wide range of serum samples containing antibodies to all 5 HCV genotypes. Twenty-five peptides from the genotype-specific group were found to strongly react with serum containing antibodies only to the genotype from which the peptides were derived. Similar to the N-terminal part of region 5-1-1, peptides derived from region 59 did not show genotype-specific immunoreactivity. Some peptides derived from the central part of region 59 showed very strong and broad antigenic reactivity. Thus, after examining two antigenic regions of the NS4 protein, we identified short sequences that can be used for the efficient detection of either genotype-independent or genotype-specific HCV antibodies. (+info)

Virus phenotype switching and disease progression in HIV-1 infection. (2/435)

One of the phenotypic distinctions between different strains of human immunodeficiency virus type 1 (HIV-1) has to do with the ability to cause target cells to form large multinucleate bodies known as syncytia. There are two phenotypes according to this characterization: syncytium-inducing (SI) and non-syncytium-inducing (NSI). NSI strains are usually present throughout infection, while SI strains are typically seen at the beginning of the infection and near the onset of AIDS. The late emergence of SI strains is referred to as phenotype switching. In this paper we analyse the factors that lead to phenotype switching and contribute to the dynamics of disease progression. We show that a strong immune system selects for NSI strains while a weak immune system favours SI strains. The model explicitly accounts for the fact that CD4+ cells are both targets of HIV infection and crucial for activating immune responses against HIV In such a model, SI strains can emerge after a long and variable period of NSI dominated infection. Furthermore, versions of the model which do not explicitly account for HIV-specific, activated CD4+ cells do not exhibit phenotype switching, emphasizing the critical importance of this pool of cells. (+info)

Role of the adenomatous polyposis coli gene product in human cardiac development and disease. (3/435)

Expressed sequence tag (EST) and digital Northern analyses of human fetal, adult, and hypertrophic heart cDNA libraries revealed ESTs with high homology to adenomatosis polyposis coli (APC) and its associated protein, beta-catenin, as well as their differential expression. Thus, we hypothesize that the APC/beta-catenin pathway may play a role in cardiac development and disease. Reverse transcriptase-polymerase chain reaction analysis exhibited a higher APC expression in adult compared with fetal and hypertrophic heart but no significant difference in beta-catenin mRNA level. However, beta-catenin protein level was higher in fetal and hypertrophic heart compared with adult heart, suggesting the post-translational regulation of beta-catenin by APC in the cardiovascular system. In vitro antisense inhibition of APC resulted a higher beta-catenin protein expression leading to an incomplete myotube formation, suggesting APC/beta-catenin pathway involvement in myotube development. Western blot analysis further reveals three novel isoforms, APC-F, APC-A, and APC-D, ubiquitously expressed in fetal, adult, and hypertrophic heart, respectively. Isoform switching during development and disease pathogenesis suggests functionally distinct roles for each isoform. These data (i) demonstrate the usefulness of genome-based expression analysis for rapid discovery of differentially expressed genes, (ii) implicate the APC/beta-catenin pathway in the cardiovascular development, and (iii) demonstrate APC isoform switching during cardiac development and disease. (+info)

Identification and characterization of KLK-L4, a new kallikrein-like gene that appears to be down-regulated in breast cancer tissues. (4/435)

Kallikreins are a subgroup of serine proteases and these proteolytic enzymes have diverse physiological functions in many tissues. Growing evidence suggests that many kallikreins are implicated in carcinogenesis. In rodents, kallikreins constitute a large multigene family, but in humans, only three genes were identified. By using the positional candidate gene approach, we were able to identify a new kallikrein-like gene, tentatively named KLK-L4 (for kallikrein-like gene 4). This new gene maps to chromosome 19q13. 3-q13.4, is formed of five coding exons and four introns, and shows structural similarity to other kallikreins and kallikrein-like genes. KLK-L4 is expressed in a variety of tissues including prostate, salivary gland, breast, and testis. Our preliminary results show that KLK-L4 is down-regulated, at the mRNA level, in breast cancer tissues and breast cancer cell lines. Its expression is regulated by steroid hormones in the breast cancer cell line BT-474. This gene may be involved in the pathogenesis and/or progression of breast cancer and may find applicability as a novel cancer biomarker. (+info)

Interstitial flow through the internal elastic lamina affects shear stress on arterial smooth muscle cells. (5/435)

Interstitial flow through the tunica media of an artery wall in the presence of the internal elastic lamina (IEL), which separates it from the subendothelial intima, has been studied numerically. A two-dimensional analysis applying the Brinkman model as the governing equation for the porous media flow field was performed. In the numerical simulation, the IEL was modeled as an impermeable barrier to water flux, except for the fenestral pores, which were uniformly distributed over the IEL. The tunica media was modeled as a heterogeneous medium composed of a periodic array of cylindrical smooth muscle cells (SMCs) embedded in a fiber matrix simulating the interstitial proteoglycan and collagen fibers. A series of calculations was conducted by varying the physical parameters describing the problem: the area fraction of the fenestral pore (0. 001-0.036), the diameter of the fenestral pore (0.4-4.0 microm), and the distance between the IEL and the nearest SMC (0.2-0.8 microm). The results indicate that the value of the average shear stress around the circumference of the SMC in the immediate vicinity of the fenestral pore could be as much as 100 times greater than that around an SMC in the fully developed interstitial flow region away from the IEL. These high shear stresses can affect SMC physiological function. (+info)

Using database matches with for HMMGene for automated gene detection in Drosophila. (6/435)

The application of the gene finder HMMGene to the Adh region of the Drosophila melanogaster is described, and the prediction results are analyzed. HMMGene is based on a probabilistic model called a hidden Markov model, and the probabilistic framework facilitates the inclusion of database matches of varying degrees of certainty. It is shown that database matches clearly improve the performance of the gene finder. For instance, the sensitivity for coding exons predicted with both ends correct grows from 62% to 70% on a high-quality test set, when matches to proteins, cDNAs, repeats, and transposons are included. The specificity drops more than the sensitivity increases when ESTs are used. This is due to the high noise level in EST matches, and it is discussed in more detail why this is and how it might be improved. (+info)

Advection and diffusion of substances in biological tissues with complex vascular networks. (7/435)

For highly diffusive solutes the kinetics of blood-tissue exchange is only poorly represented by a model consisting of sets of independent parallel capillary-tissue units. We constructed a more realistic multicapillary network model conforming statistically to morphometric data. Flows through the tortuous paths in the network were calculated based on constant resistance per unit length throughout the network and the resulting advective intracapillary velocity field was used as a framework for describing the extravascular diffusion of a substance for which there is no barrier or permeability limitation. Simulated impulse responses from the system, analogous to tracer water outflow dilution curves, showed flow-limited behavior over a range of flows from about 2 to 5 ml min(-1) g(-1), as is observed for water in the heart in vivo. The present model serves as a reference standard against which to evaluate computationally simpler, less physically realistic models. The simulated outflow curves from the network model, like experimental water curves, were matched to outflow curves from the commonly used axially distributed models only by setting the capillary wall permeability-surface area (PS) to a value so artifactually low that it is incompatible with the experimental observations that transport is flow limited. However, simple axially distributed models with appropriately high PSs will fit water outflow dilution curves if axial diffusion coefficients are set at high enough values to account for enhanced dispersion due to the complex geometry of the capillary network. Without incorporating this enhanced dispersion, when applied to experimental curves over a range of flows, the simpler models give a false inference that there is recruitment of capillary surface area with increasing flow. Thus distributed models must account for diffusional as well as permeation processes to provide physiologically appropriate parameter estimates. (+info)

Facilitated diffusion and membrane permeation of fatty acid in albumin solutions. (8/435)

Facilitated transport is characteristic of most living systems, and usually involves a series of consecutive adjacent transfer regions, each having different transport properties. As a first step in the analysis of the multiregional problem, we consider in a single unstirred layer the facilitated diffusion of fatty acid (F) in albumin (A) solution under conditions of slow versus rapid association-dissociation, accounting for differing diffusivities of the albumin-fatty acid complex (AF). Diffusion gradients become established in an unstirred layer between a source of constant concentration of A, AF, and F in equilibrium, and a membrane permeable to F. The posited system does not reduce to a thin- or thick-layer approximation. The transient state is prolonged by slower on/off binding rates and by increasing the thickness of the unstirred layer. Solutions to transient and steady state depend upon the choice of boundary conditions, especially for thin regions. When there are two regions (each with its specific binding protein) separated by a permeable membrane, the steady-state fluxes and concentration profiles depend on the rates of association and dissociation reactions, on the diffusion coefficients, local consumption rates, and on the membrane permeability. Sensitivity analysis reveals the relative importance of these mechanisms. (+info)

I'm sorry for any confusion, but "Numerical Analysis, Computer-Assisted" is not a commonly used medical term or concept. Numerical analysis is a branch of mathematics dealing with the approximation of problems by numerical values and the use of algorithms to solve these problems. It can be used in various fields, including medicine, for example, in modeling biological systems or analyzing medical data. However, "computer-assisted" generally refers to the use of computers to aid in a task, which is not exclusive to numerical analysis.

If you have any questions related to medicine or healthcare, I would be happy to try and help answer them!

A computer is a programmable electronic device that can store, retrieve, and process data. It is composed of several components including:

1. Hardware: The physical components of a computer such as the central processing unit (CPU), memory (RAM), storage devices (hard drive or solid-state drive), and input/output devices (monitor, keyboard, and mouse).
2. Software: The programs and instructions that are used to perform specific tasks on a computer. This includes operating systems, applications, and utilities.
3. Input: Devices or methods used to enter data into a computer, such as a keyboard, mouse, scanner, or digital camera.
4. Processing: The function of the CPU in executing instructions and performing calculations on data.
5. Output: The results of processing, which can be displayed on a monitor, printed on paper, or saved to a storage device.

Computers come in various forms and sizes, including desktop computers, laptops, tablets, and smartphones. They are used in a wide range of applications, from personal use for communication, entertainment, and productivity, to professional use in fields such as medicine, engineering, finance, and education.

A computer simulation is a process that involves creating a model of a real-world system or phenomenon on a computer and then using that model to run experiments and make predictions about how the system will behave under different conditions. In the medical field, computer simulations are used for a variety of purposes, including:

1. Training and education: Computer simulations can be used to create realistic virtual environments where medical students and professionals can practice their skills and learn new procedures without risk to actual patients. For example, surgeons may use simulation software to practice complex surgical techniques before performing them on real patients.
2. Research and development: Computer simulations can help medical researchers study the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone. By creating detailed models of cells, tissues, organs, or even entire organisms, researchers can use simulation software to explore how these systems function and how they respond to different stimuli.
3. Drug discovery and development: Computer simulations are an essential tool in modern drug discovery and development. By modeling the behavior of drugs at a molecular level, researchers can predict how they will interact with their targets in the body and identify potential side effects or toxicities. This information can help guide the design of new drugs and reduce the need for expensive and time-consuming clinical trials.
4. Personalized medicine: Computer simulations can be used to create personalized models of individual patients based on their unique genetic, physiological, and environmental characteristics. These models can then be used to predict how a patient will respond to different treatments and identify the most effective therapy for their specific condition.

Overall, computer simulations are a powerful tool in modern medicine, enabling researchers and clinicians to study complex systems and make predictions about how they will behave under a wide range of conditions. By providing insights into the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone, computer simulations are helping to advance our understanding of human health and disease.

In the context of medicine, classification refers to the process of categorizing or organizing diseases, disorders, injuries, or other health conditions based on their characteristics, symptoms, causes, or other factors. This helps healthcare professionals to understand, diagnose, and treat various medical conditions more effectively.

There are several well-known classification systems in medicine, such as:

1. The International Classification of Diseases (ICD) - developed by the World Health Organization (WHO), it is used worldwide for mortality and morbidity statistics, reimbursement systems, and automated decision support in health care. This system includes codes for diseases, signs and symptoms, abnormal findings, social circumstances, and external causes of injury or diseases.
2. The Diagnostic and Statistical Manual of Mental Disorders (DSM) - published by the American Psychiatric Association, it provides a standardized classification system for mental health disorders to improve communication between mental health professionals, facilitate research, and guide treatment.
3. The International Classification of Functioning, Disability and Health (ICF) - developed by the WHO, this system focuses on an individual's functioning and disability rather than solely on their medical condition. It covers body functions and structures, activities, and participation, as well as environmental and personal factors that influence a person's life.
4. The TNM Classification of Malignant Tumors - created by the Union for International Cancer Control (UICC), it is used to describe the anatomical extent of cancer, including the size of the primary tumor (T), involvement of regional lymph nodes (N), and distant metastasis (M).

These classification systems help medical professionals communicate more effectively about patients' conditions, make informed treatment decisions, and track disease trends over time.

Bacterial DNA refers to the genetic material found in bacteria. It is composed of a double-stranded helix containing four nucleotide bases - adenine (A), thymine (T), guanine (G), and cytosine (C) - that are linked together by phosphodiester bonds. The sequence of these bases in the DNA molecule carries the genetic information necessary for the growth, development, and reproduction of bacteria.

Bacterial DNA is circular in most bacterial species, although some have linear chromosomes. In addition to the main chromosome, many bacteria also contain small circular pieces of DNA called plasmids that can carry additional genes and provide resistance to antibiotics or other environmental stressors.

Unlike eukaryotic cells, which have their DNA enclosed within a nucleus, bacterial DNA is present in the cytoplasm of the cell, where it is in direct contact with the cell's metabolic machinery. This allows for rapid gene expression and regulation in response to changing environmental conditions.

Bacteriophage typing is a laboratory method used to identify and differentiate bacterial strains based on their susceptibility to specific bacteriophages, which are viruses that infect and replicate within bacteria. In this technique, a standard set of bacteriophages with known host ranges are allowed to infect and form plaques on a lawn of bacterial cells grown on a solid medium, such as agar. The pattern and number of plaques formed are then used to identify the specific bacteriophage types that are able to infect the bacterial strain, providing a unique "fingerprint" or profile that can be used for typing and differentiating different bacterial strains.

Bacteriophage typing is particularly useful in epidemiological studies, as it can help track the spread of specific bacterial clones within a population, monitor antibiotic resistance patterns, and provide insights into the evolution and ecology of bacterial pathogens. It has been widely used in the study of various bacterial species, including Staphylococcus aureus, Salmonella enterica, and Mycobacterium tuberculosis, among others.

Bacterial typing techniques are methods used to identify and differentiate bacterial strains or isolates based on their unique characteristics. These techniques are essential in epidemiological studies, infection control, and research to understand the transmission dynamics, virulence, and antibiotic resistance patterns of bacterial pathogens.

There are various bacterial typing techniques available, including:

1. **Bacteriophage Typing:** This method involves using bacteriophages (viruses that infect bacteria) to identify specific bacterial strains based on their susceptibility or resistance to particular phages.
2. **Serotyping:** It is a technique that differentiates bacterial strains based on the antigenic properties of their cell surface components, such as capsules, flagella, and somatic (O) and flagellar (H) antigens.
3. **Biochemical Testing:** This method uses biochemical reactions to identify specific metabolic pathways or enzymes present in bacterial strains, which can be used for differentiation. Commonly used tests include the catalase test, oxidase test, and various sugar fermentation tests.
4. **Molecular Typing Techniques:** These methods use genetic markers to identify and differentiate bacterial strains at the DNA level. Examples of molecular typing techniques include:
* **Pulsed-Field Gel Electrophoresis (PFGE):** This method uses restriction enzymes to digest bacterial DNA, followed by electrophoresis in an agarose gel under pulsed electrical fields. The resulting banding patterns are analyzed and compared to identify related strains.
* **Multilocus Sequence Typing (MLST):** It involves sequencing specific housekeeping genes to generate unique sequence types that can be used for strain identification and phylogenetic analysis.
* **Whole Genome Sequencing (WGS):** This method sequences the entire genome of a bacterial strain, providing the most detailed information on genetic variation and relatedness between strains. WGS data can be analyzed using various bioinformatics tools to identify single nucleotide polymorphisms (SNPs), gene deletions or insertions, and other genetic changes that can be used for strain differentiation.

These molecular typing techniques provide higher resolution than traditional methods, allowing for more accurate identification and comparison of bacterial strains. They are particularly useful in epidemiological investigations to track the spread of pathogens and identify outbreaks.

Ribosomal DNA (rDNA) refers to the specific regions of DNA in a cell that contain the genes for ribosomal RNA (rRNA). Ribosomes are complex structures composed of proteins and rRNA, which play a crucial role in protein synthesis by translating messenger RNA (mRNA) into proteins.

In humans, there are four types of rRNA molecules: 18S, 5.8S, 28S, and 5S. These rRNAs are encoded by multiple copies of rDNA genes that are organized in clusters on specific chromosomes. In humans, the majority of rDNA genes are located on the short arms of acrocentric chromosomes 13, 14, 15, 21, and 22.

Each cluster of rDNA genes contains both transcribed and non-transcribed spacer regions. The transcribed regions contain the genes for the four types of rRNA, while the non-transcribed spacers contain regulatory elements that control the transcription of the rRNA genes.

The number of rDNA copies varies between species and even within individuals of the same species. The copy number can also change during development and in response to environmental factors. Variations in rDNA copy number have been associated with various diseases, including cancer and neurological disorders.

Electrophoresis, polyacrylamide gel (EPG) is a laboratory technique used to separate and analyze complex mixtures of proteins or nucleic acids (DNA or RNA) based on their size and electrical charge. This technique utilizes a matrix made of cross-linked polyacrylamide, a type of gel, which provides a stable and uniform environment for the separation of molecules.

In this process:

1. The polyacrylamide gel is prepared by mixing acrylamide monomers with a cross-linking agent (bis-acrylamide) and a catalyst (ammonium persulfate) in the presence of a buffer solution.
2. The gel is then poured into a mold and allowed to polymerize, forming a solid matrix with uniform pore sizes that depend on the concentration of acrylamide used. Higher concentrations result in smaller pores, providing better resolution for separating smaller molecules.
3. Once the gel has set, it is placed in an electrophoresis apparatus containing a buffer solution. Samples containing the mixture of proteins or nucleic acids are loaded into wells on the top of the gel.
4. An electric field is applied across the gel, causing the negatively charged molecules to migrate towards the positive electrode (anode) while positively charged molecules move toward the negative electrode (cathode). The rate of migration depends on the size, charge, and shape of the molecules.
5. Smaller molecules move faster through the gel matrix and will migrate farther from the origin compared to larger molecules, resulting in separation based on size. Proteins and nucleic acids can be selectively stained after electrophoresis to visualize the separated bands.

EPG is widely used in various research fields, including molecular biology, genetics, proteomics, and forensic science, for applications such as protein characterization, DNA fragment analysis, cloning, mutation detection, and quality control of nucleic acid or protein samples.

Base composition in genetics refers to the relative proportion of the four nucleotide bases (adenine, thymine, guanine, and cytosine) in a DNA or RNA molecule. In DNA, adenine pairs with thymine, and guanine pairs with cytosine, so the base composition is often expressed in terms of the ratio of adenine + thymine (A-T) to guanine + cytosine (G-C). This ratio can vary between species and even between different regions of the same genome. The base composition can provide important clues about the function, evolution, and structure of genetic material.

Biological models, also known as physiological models or organismal models, are simplified representations of biological systems, processes, or mechanisms that are used to understand and explain the underlying principles and relationships. These models can be theoretical (conceptual or mathematical) or physical (such as anatomical models, cell cultures, or animal models). They are widely used in biomedical research to study various phenomena, including disease pathophysiology, drug action, and therapeutic interventions.

Examples of biological models include:

1. Mathematical models: These use mathematical equations and formulas to describe complex biological systems or processes, such as population dynamics, metabolic pathways, or gene regulation networks. They can help predict the behavior of these systems under different conditions and test hypotheses about their underlying mechanisms.
2. Cell cultures: These are collections of cells grown in a controlled environment, typically in a laboratory dish or flask. They can be used to study cellular processes, such as signal transduction, gene expression, or metabolism, and to test the effects of drugs or other treatments on these processes.
3. Animal models: These are living organisms, usually vertebrates like mice, rats, or non-human primates, that are used to study various aspects of human biology and disease. They can provide valuable insights into the pathophysiology of diseases, the mechanisms of drug action, and the safety and efficacy of new therapies.
4. Anatomical models: These are physical representations of biological structures or systems, such as plastic models of organs or tissues, that can be used for educational purposes or to plan surgical procedures. They can also serve as a basis for developing more sophisticated models, such as computer simulations or 3D-printed replicas.

Overall, biological models play a crucial role in advancing our understanding of biology and medicine, helping to identify new targets for therapeutic intervention, develop novel drugs and treatments, and improve human health.

I'm sorry for any confusion, but there seems to be a misunderstanding. Mathematics is not a medical term; it is a branch of science dedicated to the study of numbers, shapes, and structures. However, mathematics does have many applications in medicine, such as in modeling disease spread, analyzing medical images, or designing clinical trials. If you have any questions related to mathematics in a medical context, I'd be happy to help clarify those for you!

The term "Theoretical Models" is used in various scientific fields, including medicine, to describe a representation of a complex system or phenomenon. It is a simplified framework that explains how different components of the system interact with each other and how they contribute to the overall behavior of the system. Theoretical models are often used in medical research to understand and predict the outcomes of diseases, treatments, or public health interventions.

A theoretical model can take many forms, such as mathematical equations, computer simulations, or conceptual diagrams. It is based on a set of assumptions and hypotheses about the underlying mechanisms that drive the system. By manipulating these variables and observing the effects on the model's output, researchers can test their assumptions and generate new insights into the system's behavior.

Theoretical models are useful for medical research because they allow scientists to explore complex systems in a controlled and systematic way. They can help identify key drivers of disease or treatment outcomes, inform the design of clinical trials, and guide the development of new interventions. However, it is important to recognize that theoretical models are simplifications of reality and may not capture all the nuances and complexities of real-world systems. Therefore, they should be used in conjunction with other forms of evidence, such as experimental data and observational studies, to inform medical decision-making.

Ribosomal RNA (rRNA) is a type of RNA that combines with proteins to form ribosomes, which are complex structures inside cells where protein synthesis occurs. The "16S" refers to the sedimentation coefficient of the rRNA molecule, which is a measure of its size and shape. In particular, 16S rRNA is a component of the smaller subunit of the prokaryotic ribosome (found in bacteria and archaea), and is often used as a molecular marker for identifying and classifying these organisms due to its relative stability and conservation among species. The sequence of 16S rRNA can be compared across different species to determine their evolutionary relationships and taxonomic positions.

Cluster analysis is a statistical method used to group similar objects or data points together based on their characteristics or features. In medical and healthcare research, cluster analysis can be used to identify patterns or relationships within complex datasets, such as patient records or genetic information. This technique can help researchers to classify patients into distinct subgroups based on their symptoms, diagnoses, or other variables, which can inform more personalized treatment plans or public health interventions.

Cluster analysis involves several steps, including:

1. Data preparation: The researcher must first collect and clean the data, ensuring that it is complete and free from errors. This may involve removing outlier values or missing data points.
2. Distance measurement: Next, the researcher must determine how to measure the distance between each pair of data points. Common methods include Euclidean distance (the straight-line distance between two points) or Manhattan distance (the distance between two points along a grid).
3. Clustering algorithm: The researcher then applies a clustering algorithm, which groups similar data points together based on their distances from one another. Common algorithms include hierarchical clustering (which creates a tree-like structure of clusters) or k-means clustering (which assigns each data point to the nearest centroid).
4. Validation: Finally, the researcher must validate the results of the cluster analysis by evaluating the stability and robustness of the clusters. This may involve re-running the analysis with different distance measures or clustering algorithms, or comparing the results to external criteria.

Cluster analysis is a powerful tool for identifying patterns and relationships within complex datasets, but it requires careful consideration of the data preparation, distance measurement, and validation steps to ensure accurate and meaningful results.

I'm sorry for any confusion, but "Finite Element Analysis" (FEA) is not a medical term. It is a computational technique used in engineering and physical sciences. FEA is a computerized method for predicting how a product reacts to real-world forces, vibration, heat, fluid flow, and other physical effects. It's a way that engineers can simulate the performance of a product or system before it is built, which can help reduce costs, improve quality, and shorten the development time.

However, in a medical context, FEA might be used in the field of biomechanical engineering to analyze the mechanical behavior of biological systems, such as bones, joints, or soft tissues, under various loads and conditions. This can help researchers and clinicians better understand the mechanisms of injury, disease, or the effects of treatment, and develop more effective prevention, diagnostic, or therapeutic strategies.

Nucleic acid hybridization is a process in molecular biology where two single-stranded nucleic acids (DNA, RNA) with complementary sequences pair together to form a double-stranded molecule through hydrogen bonding. The strands can be from the same type of nucleic acid or different types (i.e., DNA-RNA or DNA-cDNA). This process is commonly used in various laboratory techniques, such as Southern blotting, Northern blotting, polymerase chain reaction (PCR), and microarray analysis, to detect, isolate, and analyze specific nucleic acid sequences. The hybridization temperature and conditions are critical to ensure the specificity of the interaction between the two strands.

Bacterial proteins are a type of protein that are produced by bacteria as part of their structural or functional components. These proteins can be involved in various cellular processes, such as metabolism, DNA replication, transcription, and translation. They can also play a role in bacterial pathogenesis, helping the bacteria to evade the host's immune system, acquire nutrients, and multiply within the host.

Bacterial proteins can be classified into different categories based on their function, such as:

1. Enzymes: Proteins that catalyze chemical reactions in the bacterial cell.
2. Structural proteins: Proteins that provide structural support and maintain the shape of the bacterial cell.
3. Signaling proteins: Proteins that help bacteria to communicate with each other and coordinate their behavior.
4. Transport proteins: Proteins that facilitate the movement of molecules across the bacterial cell membrane.
5. Toxins: Proteins that are produced by pathogenic bacteria to damage host cells and promote infection.
6. Surface proteins: Proteins that are located on the surface of the bacterial cell and interact with the environment or host cells.

Understanding the structure and function of bacterial proteins is important for developing new antibiotics, vaccines, and other therapeutic strategies to combat bacterial infections.

An algorithm is not a medical term, but rather a concept from computer science and mathematics. In the context of medicine, algorithms are often used to describe step-by-step procedures for diagnosing or managing medical conditions. These procedures typically involve a series of rules or decision points that help healthcare professionals make informed decisions about patient care.

For example, an algorithm for diagnosing a particular type of heart disease might involve taking a patient's medical history, performing a physical exam, ordering certain diagnostic tests, and interpreting the results in a specific way. By following this algorithm, healthcare professionals can ensure that they are using a consistent and evidence-based approach to making a diagnosis.

Algorithms can also be used to guide treatment decisions. For instance, an algorithm for managing diabetes might involve setting target blood sugar levels, recommending certain medications or lifestyle changes based on the patient's individual needs, and monitoring the patient's response to treatment over time.

Overall, algorithms are valuable tools in medicine because they help standardize clinical decision-making and ensure that patients receive high-quality care based on the latest scientific evidence.

"Pseudomonas" is a genus of Gram-negative, rod-shaped bacteria that are widely found in soil, water, and plants. Some species of Pseudomonas can cause disease in animals and humans, with P. aeruginosa being the most clinically relevant as it's an opportunistic pathogen capable of causing various types of infections, particularly in individuals with weakened immune systems.

P. aeruginosa is known for its remarkable ability to resist many antibiotics and disinfectants, making infections caused by this bacterium difficult to treat. It can cause a range of healthcare-associated infections, such as pneumonia, bloodstream infections, urinary tract infections, and surgical site infections. In addition, it can also cause external ear infections and eye infections.

Prompt identification and appropriate antimicrobial therapy are crucial for managing Pseudomonas infections, although the increasing antibiotic resistance poses a significant challenge in treatment.

Phylogeny is the evolutionary history and relationship among biological entities, such as species or genes, based on their shared characteristics. In other words, it refers to the branching pattern of evolution that shows how various organisms have descended from a common ancestor over time. Phylogenetic analysis involves constructing a tree-like diagram called a phylogenetic tree, which depicts the inferred evolutionary relationships among organisms or genes based on molecular sequence data or other types of characters. This information is crucial for understanding the diversity and distribution of life on Earth, as well as for studying the emergence and spread of diseases.

A phenotype is the physical or biochemical expression of an organism's genes, or the observable traits and characteristics resulting from the interaction of its genetic constitution (genotype) with environmental factors. These characteristics can include appearance, development, behavior, and resistance to disease, among others. Phenotypes can vary widely, even among individuals with identical genotypes, due to differences in environmental influences, gene expression, and genetic interactions.

I am not aware of a widely accepted medical definition for the term "software," as it is more commonly used in the context of computer science and technology. Software refers to programs, data, and instructions that are used by computers to perform various tasks. It does not have direct relevance to medical fields such as anatomy, physiology, or clinical practice. If you have any questions related to medicine or healthcare, I would be happy to try to help with those instead!

DNA fingerprinting, also known as DNA profiling or genetic fingerprinting, is a laboratory technique used to identify and compare the unique genetic makeup of individuals by analyzing specific regions of their DNA. This method is based on the variation in the length of repetitive sequences of DNA called variable number tandem repeats (VNTRs) or short tandem repeats (STRs), which are located at specific locations in the human genome and differ significantly among individuals, except in the case of identical twins.

The process of DNA fingerprinting involves extracting DNA from a sample, amplifying targeted regions using the polymerase chain reaction (PCR), and then separating and visualizing the resulting DNA fragments through electrophoresis. The fragment patterns are then compared to determine the likelihood of a match between two samples.

DNA fingerprinting has numerous applications in forensic science, paternity testing, identity verification, and genealogical research. It is considered an essential tool for providing strong evidence in criminal investigations and resolving disputes related to parentage and inheritance.

"Attitude to Computers" is not a medical term or concept, but rather a social science or psychological one. It refers to an individual's feelings, beliefs, and behaviors towards computers and technology in general. This can include things like their comfort level using computers, their perception of the benefits and drawbacks of computer use, and their willingness to learn new technologies.

In some cases, a person's attitude towards computers may be influenced by factors such as their age, education level, work experience, and access to technology. For example, someone who grew up using computers and has had positive experiences with them is likely to have a more favorable attitude than someone who is not familiar with computers or has had negative experiences with them.

It's worth noting that attitudes towards computers can vary widely from person to person, and may change over time as technology evolves and becomes more integrated into daily life. Additionally, while an individual's attitude towards computers may not be a direct medical concern, it can have implications for their overall health and well-being, particularly in terms of their ability to access information, communicate with others, and participate in modern society.

Serotyping is a laboratory technique used to classify microorganisms, such as bacteria and viruses, based on the specific antigens or proteins present on their surface. It involves treating the microorganism with different types of antibodies and observing which ones bind to its surface. Each distinct set of antigens corresponds to a specific serotype, allowing for precise identification and characterization of the microorganism. This technique is particularly useful in epidemiology, vaccine development, and infection control.

Mechanical stress, in the context of physiology and medicine, refers to any type of force that is applied to body tissues or organs, which can cause deformation or displacement of those structures. Mechanical stress can be either external, such as forces exerted on the body during physical activity or trauma, or internal, such as the pressure changes that occur within blood vessels or other hollow organs.

Mechanical stress can have a variety of effects on the body, depending on the type, duration, and magnitude of the force applied. For example, prolonged exposure to mechanical stress can lead to tissue damage, inflammation, and chronic pain. Additionally, abnormal or excessive mechanical stress can contribute to the development of various musculoskeletal disorders, such as tendinitis, osteoarthritis, and herniated discs.

In order to mitigate the negative effects of mechanical stress, the body has a number of adaptive responses that help to distribute forces more evenly across tissues and maintain structural integrity. These responses include changes in muscle tone, joint positioning, and connective tissue stiffness, as well as the remodeling of bone and other tissues over time. However, when these adaptive mechanisms are overwhelmed or impaired, mechanical stress can become a significant factor in the development of various pathological conditions.

Reproducibility of results in a medical context refers to the ability to obtain consistent and comparable findings when a particular experiment or study is repeated, either by the same researcher or by different researchers, following the same experimental protocol. It is an essential principle in scientific research that helps to ensure the validity and reliability of research findings.

In medical research, reproducibility of results is crucial for establishing the effectiveness and safety of new treatments, interventions, or diagnostic tools. It involves conducting well-designed studies with adequate sample sizes, appropriate statistical analyses, and transparent reporting of methods and findings to allow other researchers to replicate the study and confirm or refute the results.

The lack of reproducibility in medical research has become a significant concern in recent years, as several high-profile studies have failed to produce consistent findings when replicated by other researchers. This has led to increased scrutiny of research practices and a call for greater transparency, rigor, and standardization in the conduct and reporting of medical research.

Water microbiology is not a formal medical term, but rather a branch of microbiology that deals with the study of microorganisms found in water. It involves the identification, enumeration, and characterization of bacteria, viruses, parasites, and other microscopic organisms present in water sources such as lakes, rivers, oceans, groundwater, drinking water, and wastewater.

In a medical context, water microbiology is relevant to public health because it helps to assess the safety of water supplies for human consumption and recreational activities. It also plays a critical role in understanding and preventing waterborne diseases caused by pathogenic microorganisms that can lead to illnesses such as diarrhea, skin infections, and respiratory problems.

Water microbiologists use various techniques to study water microorganisms, including culturing, microscopy, genetic analysis, and biochemical tests. They also investigate the ecology of these organisms, their interactions with other species, and their response to environmental factors such as temperature, pH, and nutrient availability.

Overall, water microbiology is a vital field that helps ensure the safety of our water resources and protects public health.

Species specificity is a term used in the field of biology, including medicine, to refer to the characteristic of a biological entity (such as a virus, bacterium, or other microorganism) that allows it to interact exclusively or preferentially with a particular species. This means that the biological entity has a strong affinity for, or is only able to infect, a specific host species.

For example, HIV is specifically adapted to infect human cells and does not typically infect other animal species. Similarly, some bacterial toxins are species-specific and can only affect certain types of animals or humans. This concept is important in understanding the transmission dynamics and host range of various pathogens, as well as in developing targeted therapies and vaccines.

Bacterial RNA refers to the genetic material present in bacteria that is composed of ribonucleic acid (RNA). Unlike higher organisms, bacteria contain a single circular chromosome made up of DNA, along with smaller circular pieces of DNA called plasmids. These bacterial genetic materials contain the information necessary for the growth and reproduction of the organism.

Bacterial RNA can be divided into three main categories: messenger RNA (mRNA), ribosomal RNA (rRNA), and transfer RNA (tRNA). mRNA carries genetic information copied from DNA, which is then translated into proteins by the rRNA and tRNA molecules. rRNA is a structural component of the ribosome, where protein synthesis occurs, while tRNA acts as an adapter that brings amino acids to the ribosome during protein synthesis.

Bacterial RNA plays a crucial role in various cellular processes, including gene expression, protein synthesis, and regulation of metabolic pathways. Understanding the structure and function of bacterial RNA is essential for developing new antibiotics and other therapeutic strategies to combat bacterial infections.

Computer peripherals are external devices that can be connected to a computer system to expand its functionality or capabilities. They are called "peripherals" because they are typically located on the periphery of the computer, as opposed to being built into the main computer case or chassis.

There are several types of computer peripherals, including:

1. Input devices: These are used to provide data and instructions to the computer. Examples include keyboards, mice, scanners, webcams, and microphones.
2. Output devices: These are used to communicate information from the computer to the user or to other external devices. Examples include monitors, printers, speakers, and projectors.
3. Storage devices: These are used to store data and programs on removable media. Examples include USB drives, external hard drives, CDs, and DVDs.
4. Communication devices: These are used to connect the computer to other networks or systems. Examples include modems, routers, network adapters, and wireless access points.
5. Input/output (I/O) devices: These are multifunctional devices that can serve as both input and output peripherals. Examples include touchscreens, digital tablets, and joysticks.

Overall, computer peripherals play a crucial role in enhancing the functionality and usability of computer systems for various applications.

Computer literacy is the ability to use, understand, and create computer technology and software, including basic knowledge of computer hardware, operating systems, and common applications such as word processing, spreadsheets, and databases. It also includes an understanding of concepts related to the internet, email, and cybersecurity. Being computer literate means having the skills and knowledge necessary to effectively use computers for a variety of purposes, including communication, research, problem-solving, and productivity. It is an important skill in today's digital age and is often required for many jobs and educational programs.

Molecular sequence data refers to the specific arrangement of molecules, most commonly nucleotides in DNA or RNA, or amino acids in proteins, that make up a biological macromolecule. This data is generated through laboratory techniques such as sequencing, and provides information about the exact order of the constituent molecules. This data is crucial in various fields of biology, including genetics, evolution, and molecular biology, allowing for comparisons between different organisms, identification of genetic variations, and studies of gene function and regulation.

DNA Sequence Analysis is the systematic determination of the order of nucleotides in a DNA molecule. It is a critical component of modern molecular biology, genetics, and genetic engineering. The process involves determining the exact order of the four nucleotide bases - adenine (A), guanine (G), cytosine (C), and thymine (T) - in a DNA molecule or fragment. This information is used in various applications such as identifying gene mutations, studying evolutionary relationships, developing molecular markers for breeding, and diagnosing genetic diseases.

The process of DNA Sequence Analysis typically involves several steps, including DNA extraction, PCR amplification (if necessary), purification, sequencing reaction, and electrophoresis. The resulting data is then analyzed using specialized software to determine the exact sequence of nucleotides.

In recent years, high-throughput DNA sequencing technologies have revolutionized the field of genomics, enabling the rapid and cost-effective sequencing of entire genomes. This has led to an explosion of genomic data and new insights into the genetic basis of many diseases and traits.

A computer system is a collection of hardware and software components that work together to perform specific tasks. This includes the physical components such as the central processing unit (CPU), memory, storage devices, and input/output devices, as well as the operating system and application software that run on the hardware. Computer systems can range from small, embedded systems found in appliances and devices, to large, complex networks of interconnected computers used for enterprise-level operations.

In a medical context, computer systems are often used for tasks such as storing and retrieving electronic health records (EHRs), managing patient scheduling and billing, performing diagnostic imaging and analysis, and delivering telemedicine services. These systems must adhere to strict regulatory standards, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, to ensure the privacy and security of sensitive medical information.

In the context of medicine and pharmacology, "kinetics" refers to the study of how a drug moves throughout the body, including its absorption, distribution, metabolism, and excretion (often abbreviated as ADME). This field is called "pharmacokinetics."

1. Absorption: This is the process of a drug moving from its site of administration into the bloodstream. Factors such as the route of administration (e.g., oral, intravenous, etc.), formulation, and individual physiological differences can affect absorption.

2. Distribution: Once a drug is in the bloodstream, it gets distributed throughout the body to various tissues and organs. This process is influenced by factors like blood flow, protein binding, and lipid solubility of the drug.

3. Metabolism: Drugs are often chemically modified in the body, typically in the liver, through processes known as metabolism. These changes can lead to the formation of active or inactive metabolites, which may then be further distributed, excreted, or undergo additional metabolic transformations.

4. Excretion: This is the process by which drugs and their metabolites are eliminated from the body, primarily through the kidneys (urine) and the liver (bile).

Understanding the kinetics of a drug is crucial for determining its optimal dosing regimen, potential interactions with other medications or foods, and any necessary adjustments for special populations like pediatric or geriatric patients, or those with impaired renal or hepatic function.

Handheld computers, also known as personal digital assistants (PDAs) or pocket PCs, are portable devices that are designed to provide computing and information management capabilities in a compact and mobile form factor. These devices typically feature a touchscreen interface, allowing users to interact with the device using their fingers or a stylus.

Handheld computers are capable of performing various functions such as managing calendars, contacts, and tasks; browsing the web; sending and receiving emails; and running productivity applications like word processors and spreadsheets. They may also include features such as GPS navigation, digital cameras, and music players.

One of the key advantages of handheld computers is their portability, which makes them ideal for use in a variety of settings, including at home, in the office, or on the go. However, they typically have smaller screens and keyboards than larger laptops or desktop computers, which can make them less suitable for certain tasks that require more extensive typing or data entry.

Handheld computers are commonly used by healthcare professionals to manage patient information, access electronic medical records, and communicate with other healthcare providers. They may also be used in a variety of other industries, such as logistics, transportation, and field service, where mobile workers need to access and manage information while on the move.

Computer user training is the process of teaching individuals how to use computer software, hardware, and systems effectively and safely. This type of training can include a variety of topics, such as:

* Basic computer skills, such as using a mouse and keyboard
* Operating system fundamentals, including file management and navigation
* Application-specific training for software such as Microsoft Office or industry-specific programs
* Cybersecurity best practices to protect against online threats
* Data privacy and compliance regulations related to computer use

The goal of computer user training is to help individuals become proficient and confident in their ability to use technology to perform their job duties, communicate with others, and access information. Effective computer user training can lead to increased productivity, reduced errors, and improved job satisfaction.

A computer terminal is a device that enables a user to interact with a computer system. It typically includes an input device, such as a keyboard or a mouse, and an output device, such as a monitor or a printer. A terminal may also include additional features, such as storage devices or network connections. In modern usage, the term "computer terminal" is often used to refer specifically to a device that provides text-based access to a computer system, as opposed to a graphical user interface (GUI). These text-based terminals are sometimes called "dumb terminals," because they rely on the computer system to perform most of the processing and only provide a simple interface for input and output. However, this term can be misleading, as many modern terminals are quite sophisticated and can include features such as advanced graphics capabilities or support for multimedia content.

Analog computers are a type of computer that use continuously variable physical quantities to represent and manipulate information. Unlike digital computers, which represent data using discrete binary digits (0s and 1s), analog computers use physical quantities such as voltage, current, or mechanical position to represent information. This allows them to perform certain types of calculations and simulations more accurately and efficiently than digital computers, particularly for systems that involve continuous change or complex relationships between variables.

Analog computers were widely used in scientific and engineering applications before the advent of digital computers, but they have since been largely replaced by digital technology due to its greater flexibility, reliability, and ease of use. However, analog computers are still used in some specialized applications such as control systems for industrial processes, flight simulators, and musical instruments.

In summary, analog computers are a type of computer that use continuously variable physical quantities to represent and manipulate information, and they are still used in some specialized applications today.

Computer-assisted diagnosis (CAD) is the use of computer systems to aid in the diagnostic process. It involves the use of advanced algorithms and data analysis techniques to analyze medical images, laboratory results, and other patient data to help healthcare professionals make more accurate and timely diagnoses. CAD systems can help identify patterns and anomalies that may be difficult for humans to detect, and they can provide second opinions and flag potential errors or uncertainties in the diagnostic process.

CAD systems are often used in conjunction with traditional diagnostic methods, such as physical examinations and patient interviews, to provide a more comprehensive assessment of a patient's health. They are commonly used in radiology, pathology, cardiology, and other medical specialties where imaging or laboratory tests play a key role in the diagnostic process.

While CAD systems can be very helpful in the diagnostic process, they are not infallible and should always be used as a tool to support, rather than replace, the expertise of trained healthcare professionals. It's important for medical professionals to use their clinical judgment and experience when interpreting CAD results and making final diagnoses.

Computer communication networks (CCN) refer to the interconnected systems or groups of computers that are able to communicate and share resources and information with each other. These networks may be composed of multiple interconnected devices, including computers, servers, switches, routers, and other hardware components. The connections between these devices can be established through various types of media, such as wired Ethernet cables or wireless Wi-Fi signals.

CCNs enable the sharing of data, applications, and services among users and devices, and they are essential for supporting modern digital communication and collaboration. Some common examples of CCNs include local area networks (LANs), wide area networks (WANs), and the Internet. These networks can be designed and implemented in various topologies, such as star, ring, bus, mesh, and tree configurations, to meet the specific needs and requirements of different organizations and applications.

Computer graphics is the field of study and practice related to creating images and visual content using computer technology. It involves various techniques, algorithms, and tools for generating, manipulating, and rendering digital images and models. These can include 2D and 3D modeling, animation, rendering, visualization, and image processing. Computer graphics is used in a wide range of applications, including video games, movies, scientific simulations, medical imaging, architectural design, and data visualization.

Computer-Assisted Instruction (CAI) is a type of educational technology that involves the use of computers to deliver, support, and enhance learning experiences. In a medical context, CAI can be used to teach a variety of topics, including anatomy, physiology, pharmacology, and clinical skills.

CAI typically involves interactive multimedia presentations, simulations, quizzes, and other activities that engage learners and provide feedback on their performance. It may also include adaptive learning systems that adjust the content and pace of instruction based on the learner's abilities and progress.

CAI has been shown to be effective in improving knowledge retention, critical thinking skills, and learner satisfaction in medical education. It can be used as a standalone teaching method or in combination with traditional classroom instruction or clinical experiences.

I'm sorry for any confusion, but "minicomputers" is not a term that has a medical definition. The term "minicomputer" comes from the field of computer engineering and refers to a class of computers that are smaller and less expensive than mainframe computers, but more powerful and capable than microcomputers or personal computers. They were widely used in the 1960s and 1970s in various industries for tasks such as process control, data acquisition, and small-scale scientific calculations.

If you have any questions related to medical terminology or health sciences, I'd be happy to help!

In the context of healthcare, an Information System (IS) is a set of components that work together to collect, process, store, and distribute health information. This can include hardware, software, data, people, and procedures that are used to create, process, and communicate information.

Healthcare IS support various functions within a healthcare organization, such as:

1. Clinical information systems: These systems support clinical workflows and decision-making by providing access to patient records, order entry, results reporting, and medication administration records.
2. Financial information systems: These systems manage financial transactions, including billing, claims processing, and revenue cycle management.
3. Administrative information systems: These systems support administrative functions, such as scheduling appointments, managing patient registration, and tracking patient flow.
4. Public health information systems: These systems collect, analyze, and disseminate public health data to support disease surveillance, outbreak investigation, and population health management.

Healthcare IS must comply with various regulations, including the Health Insurance Portability and Accountability Act (HIPAA), which governs the privacy and security of protected health information (PHI). Effective implementation and use of healthcare IS can improve patient care, reduce errors, and increase efficiency within healthcare organizations.

Molecular computers are a hypothetical concept in the field of computer science and nanotechnology, which involve the use of molecular-scale devices to perform computational operations. The idea is to create systems that can manipulate individual molecules or groups of molecules to process information, similar to how traditional computers use silicon-based transistors to process digital data.

The field of molecular computing is still in its infancy, and significant scientific and engineering challenges must be overcome before practical applications can be realized. However, researchers are actively exploring the potential of molecular computers for a variety of applications, including medical diagnostics, drug discovery, and environmental monitoring.

In summary, molecular computers refer to hypothetical computing devices that operate at the molecular scale, with the potential to revolutionize various fields, including medicine, once developed and perfected.

Automatic Data Processing (ADP) is not a medical term, but a general business term that refers to the use of computers and software to automate and streamline administrative tasks and processes. In a medical context, ADP may be used in healthcare settings to manage electronic health records (EHRs), billing and coding, insurance claims processing, and other data-intensive tasks.

The goal of using ADP in healthcare is to improve efficiency, accuracy, and timeliness of administrative processes, while reducing costs and errors associated with manual data entry and management. By automating these tasks, healthcare providers can focus more on patient care and less on paperwork, ultimately improving the quality of care delivered to patients.

I couldn't find a medical definition specific to "data display," but I can provide some information related to the visual representation of medical data.

In healthcare and research, data displays are graphical representations of data designed to facilitate understanding, communication, and interpretation of complex information. These visualizations can include various types of charts, graphs, tables, and infographics that present medical data in a more accessible and easily digestible format. Examples of data displays in a medical context may include:

1. Line graphs: Used to show trends over time, such as changes in a patient's vital signs or the progression of a disease.
2. Bar charts: Employed to compare categorical data, like the frequency of different symptoms across various patient groups.
3. Pie charts: Utilized to illustrate proportions or percentages of different categories within a whole, such as the distribution of causes of death in a population.
4. Scatter plots: Applied to display relationships between two continuous variables, like the correlation between age and blood pressure.
5. Heat maps: Used to represent density or intensity of data points across a two-dimensional space, often used for geographical data or large datasets with spatial components.
6. Forest plots: Commonly employed in systematic reviews and meta-analyses to display the effect sizes and confidence intervals of individual studies and overall estimates.
7. Flow diagrams: Used to illustrate diagnostic algorithms, treatment pathways, or patient flow through a healthcare system.
8. Icon arrays: Employed to represent risks or probabilities visually, often used in informed consent processes or shared decision-making tools.

These visual representations of medical data can aid in clinical decision-making, research, education, and communication between healthcare professionals, patients, and policymakers.

"Word processing" is not a term that has a specific medical definition. It generally refers to the use of computer software to create, edit, format and save written text documents. Examples of word processing programs include Microsoft Word, Google Docs, and Apple Pages. While there may be medical transcriptionists who use word processing software as part of their job duties to transcribe medical records or reports, the term itself is not a medical definition.

A Computerized Medical Record System (CMRS) is a digital version of a patient's paper chart. It contains all of the patient's medical history from multiple providers and can be shared securely between healthcare professionals. A CMRS includes a range of data such as demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data, and radiology reports. The system facilitates the storage, retrieval, and exchange of this information in an efficient manner, and can also provide decision support, alerts, reminders, and tools for performing data analysis and creating reports. It is designed to improve the quality, safety, and efficiency of healthcare delivery by providing accurate, up-to-date, and comprehensive information about patients at the point of care.

I'm sorry for any confusion, but "Internet" is a term that pertains to the global network of interconnected computers and servers that enable the transmission and reception of data via the internet protocol (IP). It is not a medical term and does not have a specific medical definition. If you have any questions related to medicine or health, I'd be happy to try to help answer them for you!

I'm sorry for any confusion, but "Video Games" is not a term that has a medical definition. Video games are interactive software programs that run on electronic devices, such as computers, gaming consoles, and mobile phones. They typically involve some form of user input, such as keyboard or controller movements, to control an avatar or environment within the game.

However, there is a growing field of research examining the potential health impacts of video games, both positive and negative. Some studies have suggested that certain types of video games can improve cognitive abilities, such as problem-solving, memory, and reaction time. However, excessive gaming has also been linked to issues such as addiction, social isolation, and decreased physical activity.

If you have any concerns about the impact of video games on your health or the health of someone you know, it may be helpful to speak with a healthcare professional for guidance.

Computer-assisted Survey and Research. *Computational Mechanics. *Numerical Analysis Science. *Computational Modeling ... Topics: information technology computer science data science communication technology. WELCOME TO IConICT 2017, Medan, August ... This conference organized by Department of Computer Science, Sekolah Tinggi Teknik Harapan (STTH), Medan, Indonesia and held at ...

https://easychair.org/cfp/IConICT-2017

Mathematical Modelling and Numerical Analysis, an international journal on applied mathematics ... Numerical analysis of a nonlinearly stable and positive control volume finite element scheme for Richards equation with ... H. Koch, A. Schenkel and P. Wittwer, Computer-assisted proofs in analysis and programming in logic: a case study. SIAM Rev. 38 ... M.T. Nakao, M. Plum and Y. Watanabe, Numerical Verification Methods and Computer-Assisted Proofs for Partial Differential ...

https://www.esaim-m2an.org/articles/m2an/ref/2021/05/m2an200238/m2an200238.html

He has also done research in computerized numerical control, computer-assisted manufacturing, analysis of aluminum smelting and ... His research specialties are the rapid development of prototypes, analysis of smelting techniques and the design of molds. ...

https://en.wikipedia.org/wiki/Horacio_Ahuett_Garza

Computer Simulation. dc.subject. Numerical Analysis, Computer-Assisted. dc.title. How cells determine the number of polarity ... Theoretical analyses predicted that competition would slow dramatically as GTPase concentrations at different polarity sites ...

https://dukespace.lib.duke.edu/dspace/handle/10161/24507?show=full

Title: Computer-assisted proofs for some nonlinear diffusion problems Authors: Maxime Breden ... Subjects: Analysis of PDEs (math.AP); Numerical Analysis (math.NA); Optimization and Control (math.OC) ... Subjects: Analysis of PDEs (math.AP); Numerical Analysis (math.NA); Fluid Dynamics (physics.flu-dyn) ... Subjects: Analysis of PDEs (math.AP); Mathematical Physics (math-ph); Numerical Analysis (math.NA) ...

https://export.arxiv.org/list/math.NA/2102?skip=200&show=50

Church and others published Computer-assisted methods for analyzing periodic orbits in vibrating gravitational billiards , Find ... computer-assisted methods. Our numerical investigations strongly suggest the existence of mul- ... leads to effective strategies for computer assisted analysis of nonlinear operator equations. The method of radii polynomials ... so make use of computer-assisted proofs.. In this paper, we provide a computer-assisted approach for proving existence of perio ...

https://www.researchgate.net/publication/346025375_Computer-assisted_methods_for_analyzing_periodic_orbits_in_vibrating_gravitational_billiards

Numerical Analysis, Computer-Assisted. *Models, Statistical. *Linear Models. *Humans. *Forced Expiratory Volume ... Until recently, analysis techniques available in computer software only offered the user limited and inadequate choices. One ... Hence, statistical analysis of repeated measures data must address the issue of covariation between measures on the same unit. ... "Modelling covariance structure in the analysis of repeated measures data." Stat Med, vol. 19, no. 13, July 2000, pp. 1793-819. ...

https://scholars.duke.edu/publication/1268881

This study determined the intrarater and inter-rater reliability of digital image analysis (DIA) of synovial biopsies from RA ... Analysis of biomarkers in synovial tissue is increasingly used in the evaluation of new targeted therapies for patients with ... Image Interpretation, Computer-Assisted / methods* * Prednisolone / pharmacology * Prednisolone / therapeutic use * Randomized ... Randomized Controlled Trials as Topic / statistics & numerical data* * Reproducibility of Results * Statistics, Nonparametric ...

https://pubmed.ncbi.nlm.nih.gov/15987488/?dopt=Abstract

... slide imaging with computer-assisted image analysis has emerged recently as a more objective approach to provide numerical ... However, computer-assisted image analysis is being increasingly utilized in clinical trials for objective assessment of BMF as ... Computer-assisted image analysis correlates well with morphology but was more sensitive than histopathology for detecting BMF ... Recently, a stereology-based computer-assisted image analysis method using systematic uniform random sampling and line counting ...

https://haematologica.org/article/view/7731

... as a joint venture between two important players in the fields of computer-assisted simulation and analysis: FİGES Mühendislik ...

https://figes.com.tr/en/who-we-are/affiliates/numesys

MEC 320 Numerical Methods in Engineering Design and Analysis. *MAT 331 Computer-Assist Math Problem Solving ... Introductory Computer Programming (CSE 101 or 110 or 114 or 130; or ESE 124; or ESG 111 or MEC 101 & 102; or MAT 331; or PHY ... AMS 315 Data Analysis (or AMS 361 Applied Calculus IV: Differential Equations) (CER, ESI) ... 227; or ISE 108; or BME 120; or any other computer programming course at Stony Brook or at another institution) ...

https://ams.sunykorea.ac.kr/ams/html/sub03/030101.html

Computational Mathematics is about the development and analysis of numerical methods and algorithms to solve mainly technical ... The research is based on mathematical proofs and/or computer-assisted calculations. ... Modern Multivariate Statistical Analysis Nowadays there is a great need to analyse complex high-dimensional data. Modern ... Differential Equations and Analysis on Metric Spaces Differential equations describe many real-world phenomena but can rarely ...

https://liu.se/en/article/forskarutbildning-i-matematiska-vetenskaper

Numerical Analysis, Computer-Assisted. *Observer Variation. *Oligonucleotide Array Sequence Analysis. *Oligopeptides. *Optic ...

https://connects.catalyst.harvard.edu/Profiles/display/Person/51839/Network/ResearchAreas

... numerical analysis, and statistics; *computer-assisted proofs and associated interval analysis techniques; ... extensive web pages on public domain software for numerical analysis, optimization, and statistics. ... Neumaier, A & Farashahi, AG 2022, Introduction to coherent quantization, Analysis and Mathematical Physics, vol. 12, no. 4, ... mathematical and numerical work in quantum physics, statistical physics, and protein folding; ...

https://vgsco.univie.ac.at/people/faculty-members/arnold-neumaier/

Through exploitation of the small aspect ratio of each region and asymptotic analysis, we derive a coupled system of partial ... Bioreactors, Cell Proliferation, Cells, Membranes, Artificial, Models, Biological, Numerical Analysis, Computer-Assisted, ... Through exploitation of the small aspect ratio of each region and asymptotic analysis, we derive a coupled system of partial ...

https://www.stemcells.ox.ac.uk/publications/484036

Varga E, Ollé K, Erdőhelyi B, Kuba A. MedEdit: A Computer Assisted Image Processing and Navigation System for Orthopedic Trauma ... Varga E, Erdőhelyi B, Kuba A. Surgical Planning and Biomechanical Analysis.; 2006.*Google Scholar ... INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. 2007;2(1 SUPPL.):S45-S47.*Google Scholar ... Discrete Geometry for Computer Imagery. Vol 4245. Kuba A, Nyúl LGábor, Palágyi K, editors. Springer-Verlag; 2006. (Lecture ...

https://www.inf.u-szeged.hu/biblio?f%5Bauthor%5D=1017

... and the extent to which the cells adhere to the duct wall are studied using numerical and asymptotic methods. It is shown how ... Numerical Analysis, Computer-Assisted, Tumor Cells, Cultured ... the cells adhere to the duct wall are studied using numerical ...

https://www.immunology.ox.ac.uk/publications/319095

The behavior laws used in numerical simulations describe the physical characteristics of simulated materials. As our ... Computer science and software Engineering sciences Mathematics - Numerical analysis - Simulation Abstract. The behavior laws ... Assisted generation of complex computational kernels in solid mechanics. ... used in numerical simulations describe the physical characteristics of simulated materials. As our understanding of these ...

https://instn.cea.fr/en/these/assisted-generation-of-complex-computational-kernels-in-solid-mechanics/

Computer-assisted instruction 3 Mathematics--Study and teaching (Secondary) 3 Northern California 3 Nuclear physics 3 Numerical ... Combinatorial analysis 4 Exercises 4 Mathematical analysis 4 Women in mathematics 4 Algebras, Linear 3 Calculus 3 Education 3 ... Computer science 2 Computer science--Mathematics 2 Computers 2 Congresses and conventions 2 Ergodic theory 2 Geometry, Non- ... Analog computers 1 Angular momentum 1 Arithmetic 1 Arms control 1 Art 1 Art in mathematics education 1 Astronomical photography ...

https://collections.briscoecenter.org/repositories/2/classification_terms/3?&page=9

METHODS: Post hoc analysis used computer-assisted numerical and modelling methods with serial total and free cortisol ... through meta-analysis. METHODS: Meta-analysis of proportions (random effect model) including 19 RCTs (1287 patients from 16 ... The present guidelines assist clinicians in the diagnosis of the overt or covert form of HE to implement curative and ... In multivariate analyses adjusted for age, ascites, esophageal varices, encephalopathy, clinical decompensation, total platelet ...

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An IP address is the unique numerical identity of your computer. When we "log" an IP address, it means that our Web site ... HPHV may also uses cookies in order to assist in aggregate statistical analysis and sometimes provide site customization based ... On their own, they can be used to identify a computer, but not who is using that computer. Because of this, if HPHV may ... This information is also collected for aggregate statistical analysis and site customization. During your visit, HPHV will ...

https://heritagepark.ca/privacy/

Provalis Research Text Analytics Tools allows one to perform advanced computer-assisted qualitative coding on documents and ... and to perform advanced statistical analysis on numerical and categorical data using SimStat. ProSuite does not confine ... PRODUCTS > QUALITATIVE DATA ANALYSIS (QDA) > Provalis QDA. PRODUCTS > QUALITATIVE DATA ANALYSIS (QDA). ... Home > PRODUCTS > QUALITATIVE DATA ANALYSIS (QDA) > Provalis QDA > PROSUITE 3-YEAR License 1-USER (Academic Edition). ...

https://www.msmiami.com/ProSuite_Academic_p/99902-83y.htm

not, for Computer-Assisted read economics for the rats, the Anthropological activity takes shown as a critical total jetA, the ... Numerical Analysis in Mass Disasters. 39; homogeneous code in the Luetgert Case: A new information in the ELF of Forensic ... A new fit of this ratio describes to check a 49(5 analysis of the field of nonlinear density numerical health groups on the ... Two read economics for serials requested analyzed to be the spectrum Continents: numerical VLF tumour( SHG) and Physical( EO) ...

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... numerical analysis, computability, and quantum computing (my tiny role was to help with the last). There are also essays on ... computer-assisted proofs, "experimental mathematics," innumeracy, math and art, and the goals of mathematical research; a guide ... If you take nothing else from this blog: quantum computers wont solve hard problems instantly by just trying all solutions in ... Math shares a lot with Physics and Computer Science, but consider one glaring difference: If you have studied CS or Physics, ...

https://scottaaronson.blog/?p=384

Job Responsibilities: Numerical analysis including the use of computer-based programmes to assist with the study of potable, ... including calculation and use of analysis softwareProduce designs of water infrastructure, such as pump systems and pipe ... including appropriate calculations.Structural analysis and design such as determination of the design situation and load cases ...

https://workfinder.ie/finance_dublin-c275009/senior-civil-engineer-water-dublin_i1927924606

Dieter Schmalstieg and Jan Egger Computer-Aided Planning of Cranial 3D Implants International Journal of Computer Assisted ... and Thomas Pock Approximating the Total Variation with Finite Differences or Finite ElementsHandbook of Numerical Analysis383- ... Max Stricker, Peter Roth and Horst Bischof Slow feature analysis for autonomous learning object categories from videosComputer ... Friedrich Fraundorfer Computer Vision for MAVsComputer Vision in Vehicle Technology: Land, Sea & Air55-74 Publikation in PURE ...

https://www.tugraz.at/institute/icg/research/publications

Our objective is to design methods that proactively assist people as they age to maintain Computer independence. Computer ... Students use Computer Numerical Control gear to supply actual fashions of their three-dimensional designs. Fundamental ideas of ... Her analysis focuses on extra-efficient deep neural networks to process video, and extra-environment friendly hardware to run ... Ivs Computer Technology. Gladys G. Sawyer May 17, 2021 4 min read ...

https://f1000scientist.com/ivs-computer-technology.html

Computer Assisted Web Interviewing - Using Computer Assisted Web Interviewing, clients include different types of multimedia ... Quantitative data collection is used to measure the business or research problem by generating numerical data or data that can ... be transformed by statistical analysis. Quantitative data collection methods can quantify attitudes, opinions, behaviors, ... Using Computer Assisted Web Interviewing , clients include different types of multimedia content into their surveys. Paper- ...

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The number of infiltrated inflammatory cells was analyzed by H&E staining using a computer-assisted image analysis program and ... Statistical analysis. All numerical values are expressed as mean ± standard deviation. Multiple comparison tests were conducted ... The number of infiltrated inflammatory cells was analyzed by H&E staining using a computer-assisted image analysis program and ... Statistical analysis. All numerical values are expressed as mean ± standard deviation. Multiple comparison tests were conducted ...

https://www.e-jvc.org/journal/view.html?pn=vol&uid=2764&vmd=Full

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Health Care5

Antigenic heterogeneity of the hepatitis C virus NS4 protein as modeled with synthetic peptides. (1/435)

Virus phenotype switching and disease progression in HIV-1 infection. (2/435)

Role of the adenomatous polyposis coli gene product in human cardiac development and disease. (3/435)

Identification and characterization of KLK-L4, a new kallikrein-like gene that appears to be down-regulated in breast cancer tissues. (4/435)

Interstitial flow through the internal elastic lamina affects shear stress on arterial smooth muscle cells. (5/435)

Using database matches with for HMMGene for automated gene detection in Drosophila. (6/435)

Advection and diffusion of substances in biological tissues with complex vascular networks. (7/435)

Facilitated diffusion and membrane permeation of fatty acid in albumin solutions. (8/435)

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Numerical Analysis, Computer-Assisted

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Antigenic heterogeneity of the hepatitis C virus NS4 protein as modeled with synthetic peptides. (1/435)

Virus phenotype switching and disease progression in HIV-1 infection. (2/435)

Role of the adenomatous polyposis coli gene product in human cardiac development and disease. (3/435)

Identification and characterization of KLK-L4, a new kallikrein-like gene that appears to be down-regulated in breast cancer tissues. (4/435)

Interstitial flow through the internal elastic lamina affects shear stress on arterial smooth muscle cells. (5/435)

Using database matches with for HMMGene for automated gene detection in Drosophila. (6/435)

Advection and diffusion of substances in biological tissues with complex vascular networks. (7/435)

Facilitated diffusion and membrane permeation of fatty acid in albumin solutions. (8/435)

CFP

Existence of traveling wave solutions for the Diffusion Poisson Coupled Model: a computer-assisted proof | ESAIM: Mathematical...

Horacio Ahuett Garza - Wikipedia

How cells determine the number of polarity sites.

Numerical Analysis authors/titles Feb 2021 (200 skipped)

PDF) Computer-assisted methods for analyzing periodic orbits in vibrating gravitational billiards

Modelling covariance structure in the analysis of repeated measures data.

Reliability of computerized image analysis for the evaluation of serial synovial biopsies in randomized controlled trials in...

Bone marrow fibrosis in myelofibrosis: pathogenesis, prognosis and targeted strategies | Haematologica

NUMESYS Numerical Systems - FİGES AŞ

Course List > Undergraduate > Academics > Applied Mathematics and...

Doctoral studies in Mathematical Sciences - Linköping University

Guillermo James Tearney, M.D., Ph.D. | Harvard Catalyst Profiles | Harvard Catalyst

Arnold Neumaier

Multiphase modelling of the effect of fluid shear stress on cell yield and distribution in a hollow fibre membrane bioreactor. ...

Biblio | Informatikai Intézet

Modelling the early growth of ductal carcinoma in situ of the breast. - Immunology

Assisted generation of complex computational kernels in solid mechanics - INSTN