Clinically mathematical modeling models cardiovascular. Medical search. Frequent questions

Starting with the hypothesis that a physiologically based model would be a better predictor of autoregulatory state than a purely statistically based one has led us to investigate approaches to model comparison. (gla.ac.uk)
A transfer function approach can be used to estimate autoregulation status clinically using a physiologically-based model, thus providing greater insight into the processes that govern cerebral autoregulation. (ox.ac.uk)

Cardiovascular diseases are one of the major problems in medicine today and the number of patients increases worldwide. (kobv.de)
Mathematical modeling is a powerful tool for prediction and investigation of cardiovascular diseases. (kobv.de)
In general, the presented reference data, as well as the automated Doppler measurement processing tools developed and validated in this study will facilitate future (high throughput) cardiovascular phenotyping studies in adult zebrafish ultimately leading to a more comprehensive understanding of human (genetic) cardiovascular diseases. (bvsalud.org)
Cardiovascular diseases are the largest cause of death globally, making it a critical area of focus. (emerginginvestigators.org)
The unique testing will use nuclear magnetic resonance (NMR) technology, focusing on cardiovascular disease, kidney disease, and liver cancer-among a few other specific diseases. (mayocliniclabs.com)
These extracted markers or characterized fundus digital image features provide insights and relates quantitative retinal vascular topography abnormalities to various pathologies such as diabetic retinopathy, macular degeneration, hypertensive retinopathy, transient ischemic attack, neovascular glaucoma, and cardiovascular diseases. (hindawi.com)
All these features are useful for early detection of hypertensive and diabetic retinopathy, macular degeneration, acute stroke, neovascular glaucoma, and some other cardiovascular diseases [ 1 , 3 , 5 - 9 ]. (hindawi.com)

Clinically autoregulation is an important topic because it directly effects overall patient management strategy. (gla.ac.uk)
Combined transfer function analysis and modelling of cerebral autoregulation. (ox.ac.uk)
The clinical importance of cerebral autoregulation has resulted in a significant body of literature that attempts both to model the underlying physiological processes and to estimate the mathematical relationships between clinically measurable variables, the most common of which are Arterial Blood Pressure and Cerebral Blood Flow Velocity. (ox.ac.uk)
A simple model of cerebral autoregulation is thus proposed here, based on a flow dependent feedback mechanism with gain and time constant that adjusts arterial compliance. (ox.ac.uk)

Our emphasis is on techniques from mathematical and statistical modelling, theoretical physics, machine learning and data science, and biophysical imaging and image analysis. (birmingham.ac.uk)
Using three different models: a new mathematical arrangement of a physiological model by Ursino, the Highest Model Frequency (HMF) model by Daley and the Pressure reactivity index (PRx) statistical model by Czosnyka, a general comparison was carried out using the Matthews correlation coecient against a known autoregulatory state. (gla.ac.uk)
Development and Evaluation of Statistical Models Based on Machine Learning Techniques for Estimating Particulate Matter (PM and PM) Concentrations. (cdc.gov)
We review major parameters of COVID-19 transmission dynamics from statistical and mathematical modeling studies using epidemiologic data reported in the first 60 days of the epidemic. (cdc.gov)

However accurately predicting autoregulatory state or even modelling the underlying general physiological processes is a complex task. (gla.ac.uk)
Analysis of this model shows that it closely approximates a second order system for typical values of physiological parameters. (ox.ac.uk)
Physiological modeling, tight glycemic control, and the ICU clinician: what are models and how can they affect practice? (springeropen.com)
Computational models of human physiology offer the potential, with clinical data, to create patient-specific models that capture a patient's physiological status. (springeropen.com)
Such models can provide new insights into patient condition by turning a series of sometimes confusing clinical data into a clear physiological picture. (springeropen.com)
Based on these data, we expect from the research in EmpkinS groundbreaking findings in the field of biomechanical, neuromotor, psychomotor and (patho-) physiological models and their interaction mechanisms. (empkins.de)

Machine learning predicts clinically significant health related quality of life improvement after sensorimotor rehabilitation interventions in chronic stroke. (cdc.gov)
The bubble model predicts that a hemorrhage would have to be 2.2 times as large as an air bubble in order to explain the same extent of phase distortion observed in clinical data. (qxmd.com)

To understand why humans inherently strive for a symmetric gait we make mathematical models that represent human running motion and simulate the models with a computer," Lee explains. (jhu.edu)

A computational model for end-to-side anastomosis (superior ulnar collateral anastomosis with posterior ulnar recurrent, SUC-PUR) is carried out to study the effects of some clinically relevant haemodynamic parameters like blood flow resistance and terminal re- sistance on pressure and flow at different locations of the arm artery. (kobv.de)
The sensitivities with respect to cardiovascular parameters reveal the flow resistance and diameter of the vessels as most sensitive parameters. (kobv.de)
This change allows for related parameters to be substituted into a model. (gla.ac.uk)
Parameters of 'race models' of go- versus stop-decisions were estimated using hierarchical Bayesian methods to quantify the cognitive processes of response inhibition. (nihr.ac.uk)
We tested the multivariate relationship between LC integrity and model parameters using partial least squares. (nihr.ac.uk)
The model parameters can be optimally estimated from available experimental data for the Impulse Response (IR), yielding physiologically reasonable values, although there is one free parameter that must be fixed. (ox.ac.uk)

Objectives To assess the feasibility of extracting radiomics signal intensity based features from the myocardium using cardiovascular magnetic resonance (CMR) imaging stress perfusion sequences. (researchgate.net)

Dialysis prolongs life but augments cardiovascular mortality. (frontiersin.org)
Based on these findings, we analysed mortality risks among phenotypes using Cox models (both unadjusted and adjusted for age) ( fig. 2 ). (ersjournals.com)
The unadjusted model confirmed that phenotypes 1, 3 and 4 had a statistically significant two- to four-fold increase in mortality risk when compared with phenotype 2. (ersjournals.com)

Nevertheless, a comprehensive biomechanical understanding of the zebrafish cardiovascular circulation is still lacking and possibilities for phenotyping the zebrafish heart and vasculature at adult - no longer optically transparent - stages are limited. (bvsalud.org)
Depending on the required input variables of the biomechanical neuro- and psychomotor models or depending on the diagnostic question, the different sensor technologies are used individually or in combination. (empkins.de)
Thirteen key morphological factors from IVUS and OCT images and biomechanical factors from FSI model were extracted from 45 slices at baseline for analysis. (biomedcentral.com)
This feasibility study demonstrated that machine learning methods could be used to accurately predict plaque vulnerability change based on morphological and biomechanical factors from multi-modality image-based FSI models. (biomedcentral.com)

Downstream from these adverse effects of insulin resistance are clinically measured abnormalities such as hypertension and dyslipidemia (e.g., high triglyceride levels and low HDL cholesterol levels). (diabetesjournals.org)
death is associated with increasing age and underlying conditions (e.g., hypertension, cardiovascular disease, and diabetes) ( 3 ). (cdc.gov)

Development and implementation of patient-level prediction models of end-stage renal disease for type 2 diabetes patients using fast healthcare interoperability resources. (cdc.gov)
A new model for the analytical prediction of wall shear stress distributions at the base of orbitally shaken shallow fluid layers is developed. (imperial.ac.uk)
It is demonstrated that the model is in much better agreement with the simulation data than the classical Stokes solution, improving the prediction in 63% of the studied cases. (imperial.ac.uk)
Coronary plaque vulnerability prediction is difficult because plaque vulnerability is non-trivial to quantify, clinically available medical image modality is not enough to quantify thin cap thickness, prediction methods with high accuracies still need to be developed, and gold-standard data to validate vulnerability prediction are often not available. (biomedcentral.com)

This showed that the Ursino model was approximately three times as predictive as both the HMF model and the PRx model. (gla.ac.uk)
However, in general, all of the models predictive accuracies were relatively poor so a number of optimisation strategies were then assessed. (gla.ac.uk)
This is the simplest technique to apply where the number of models under examination are reduced based on the predictive accuracy. (gla.ac.uk)
A classical form of optimisation by constraining a model parameter to cause a better predictive accuracy. (gla.ac.uk)
Finding potential insights from big data with the help of medical image processing techniques, predictive modelling etc. will eventually help us to leverage the ever-increasing costs of care, help providers practice more effective medicine, empower patients and caregivers, support fitness and preventive self-care, and to dream about more personalized medicine. (slideshare.net)
The model possesses predictive power, as it aided the identification of electrophysiological effects of therapeutic interventions such as Na(+)-H+ block. (ox.ac.uk)

Artificial Intelligence-Based Prognostic Model for Urologic Cancers: A SEER-Based Study. (cdc.gov)
Notably, the BCT algorithm is a prognostic model that encompasses two major biological processes, cell proliferation and the immune response, both of which are significantly related to the clinical outcome of patients," the authors wrote. (genomeweb.com)

RESEARCH DESIGN AND METHODS -The Archimedes model was used to estimate the proportion of myocardial infarctions that would be prevented by maintaining insulin resistance and other risk factors at healthy levels. (diabetesjournals.org)
Mathematical image models for air bubbles or hemorrhages were implemented to estimate the size of the air bubble or hemorrhage needed to explain the clinically observed phase artifacts. (qxmd.com)
The air bubble model also explains how the phase artifacts lead to both large positive and large negative temperature errors, up to ±100 °C, which could cascade to damage estimate errors of several millimeters. (qxmd.com)
We estimate the key components that contribute to future modeling on the effects of nonpharmaceutical interventions (NPIs) and to inform critical resource allocation decisions ( 4 ). (cdc.gov)

In autumn 2009 I took up my current position as Reader in Cardiovascular Imaging and Centre Lead in the new Advanced Cardiovascular Imaging Centre funded through the NIHR Cardiovascular Biomedical Research Unit. (researchgate.net)

Coupled with the rapid increase in computing power, this has allowed the development of a mathematical model of cardiac metabolism in normal and ischaemic conditions. (ox.ac.uk)

OBJECTIVE: The zebrafish is increasingly used as a small animal model for cardiovascular disease, including vascular disorders. (bvsalud.org)
Particular reference will be made to new work exploring the of association of CWP with cardiovascular disease. (upf.edu)
LDL cholesterol, the notorious 'bad' cholesterol associated with heart disease, is contained within LDL particles which are a better indicator of risk," says Jeff Meeusen, Ph.D., Co-Director of Cardiovascular Laboratory Medicine at Mayo Clinic. (mayocliniclabs.com)
Because forced expiratory volume in 1 s is a poor descriptor of chronic obstructive pulmonary disease (COPD) heterogeneity [ 1 ], interest has emerged regarding the identification of clinically relevant COPD phenotypes [ 2 , 3 ]. (ersjournals.com)
Recently, a panel of experts proposed the following modified definition for clinical COPD phenotypes: "a single or combination of disease attributes that describes differences between individuals with COPD as they relate to clinically meaningful outcomes (symptoms, exacerbations, response to therapy, rate of disease progression, or death)" [ 2 , 3 ]. (ersjournals.com)

When creating models, neurological aspects and more complex clinical pictures are now being considered more intensively. (empkins.de)

The numares approach uses artificial intelligence (AI) to analyze data from clinical studies and machine learning to distinguish which metabolite constellations are meaningful, and then models mathematical equations for the interpretation of the biomarker sets. (mayocliniclabs.com)

A biophysical model of human coronary vasculature was used to explain the imaging observations, and highlight causes of coronary BF heterogeneity. (frontiersin.org)
To improve these aspects, we developed imaging-based 3D models of the cardiovascular system of wild-type adult zebrafish. (bvsalud.org)
Structural imaging of the LC, coupled with behavioural modelling in parkinsonian disorders, confirms that LC integrity is associated with response inhibition and LC degeneration contributes to neurobehavioural changes. (nihr.ac.uk)

To derive the greatest clinical value from the research outlined above, it is important to understand the relative role of insulin resistance in CAD compared with other well-known cardiovascular risk factors that may exist independently of insulin resistance. (diabetesjournals.org)
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology. (cdc.gov)

Narayan directs the Computational Arrhythmia Research Lab (CARL), that operates at the intersection of cardiovascular medicine, bioengineering, and data science. (stanford.edu)
This 3rd edition will focus on data integration, model verification and validation. (upf.edu)
Correlations and Bland-Altman analyses were used to determine if an air bubble model or a hemorrhage model was better correlated to the clinical data. (qxmd.com)
The model was used to inject bubbles into clean PRF phase data without artifacts to examine how temperature profile distortions change with slice orientation. (qxmd.com)
The data suggests that this model can be used to determine the appropriate 13-8PH alloy aging temperature needed to achieve the desired mechanical properties, eliminating the need for many costly trials and errors through re-heat treatments. (emerginginvestigators.org)
Patient follow-up intravascular ultrasound (IVUS), optical coherence tomography (OCT) and angiography data were acquired to construct 3D fluid-structure interaction (FSI) coronary models and four machine-learning methods were compared to identify optimal method to predict future plaque vulnerability. (biomedcentral.com)

This mathematical modeling study explores some of the coronary vasculature based causes of myocardial blood flow (BF) heterogeneity. (frontiersin.org)
Modelling myocardial ischaemia and reperfusion. (ox.ac.uk)
Substrate depletion and increased intracellular acidity are believed to underlie clinically important manifestations of myocardial ischaemia. (ox.ac.uk)
This complex description of biochemically important changes in myocardial ischaemia was integrated into the OXSOFT models. (ox.ac.uk)
In summary, we have developed a biochemically and biophysically detailed model that provides a novel approach to studying myocardial ischaemia and reperfusion. (ox.ac.uk)

An international team of researchers has modelled the impact that increasing treatment capacity and using a quicker, less invasive treatment option would have on waiting lists. (nihr.ac.uk)

These histological changes were felt to correlate with the clinically observed decrease in local adiposity, ecchymoses, and blood loss as well as improved skin tightening. (jcadonline.com)

We therefore studied the interaction between pressure, vessel geometry and intramural friction, tapered and straight ultrasound phantoms in a paralleled hydraulic bench study and corresponding numerical models. (bvsalud.org)
In this study, a deep learning model is used to classify post-traumatic stress disorder patients through novel markers to assist in finding candidate biomarkers for the disorder. (emerginginvestigators.org)
The pharmacodynamic study modelled the relationships between antibiotic exposure and AMR emergence over time for various classes of agents. (europa.eu)
But the Cardiovascular Health Study stated that there is no association between retinal arteriolar caliber (diameter) and stroke but rather there is a close association between stroke and the larger venular caliber (diameter) [ 13 ]. (hindawi.com)

High-frequency cardiac ultrasound is the only well-established method to characterize in vivo cardiovascular function in adult zebrafish non-invasively. (bvsalud.org)
Pre-existing models of cardiac cells such as Oxsoft HEART contain highly developed dynamic descriptions of cardiac electrical activity. (ox.ac.uk)

Four different alterations are explored as a surrogate measure for arterial-arteriolar blood volume the most clinically applicable of which is a transcranial impedance technique. (gla.ac.uk)

The model is sufficiently complete to simulate calcium-overload arrhythmias during ischaemia and reperfusion-induced arrhythmias. (ox.ac.uk)

CARL pioneered computational mapping of 'chaotic' heart rhythm disturbances (arrhythmias), targeting mechanistic drivers for atrial and ventricular fibrillation (AF, VF) using machine learning and computational models. (stanford.edu)
This article presents the concept of model-based therapeutics, the use of computational models in clinical medicine and critical care in specific, as well as its potential clinical advantages, in a format designed for the clinical perspective. (springeropen.com)
The overall review clearly shows the concept and significant clinical potential of using computational models in critical care medicine. (springeropen.com)

To dissect vascular mechanisms, a 3D human vasculature model based on known experimental coronary morphometry and a space filling algorithm was implemented. (frontiersin.org)
Using the model, it was found that total coronary BF increased as coronary perfusion pressure was increased. (frontiersin.org)

It has been shown that the Windkessel model, being based on an analogy between electrical circuits and fluid flow, is a simple but effective method to model the human cardiovascular system. (kobv.de)
Indeed, in the newly-developing field of cognitive science, computer models of thought are explicitly used to describe human capabilities. (mit.edu)

Here, the authors employ homology modeling and molecular docking towards the identification of novel rilpivirine analogs that retain high binding affinity to clinically relevant rilpivirine-resistant mutations of the HIV reverse transcriptase enzyme. (emerginginvestigators.org)

We aim to recruit 75 VCI patients, 60 HFpEF patients, 60 patients with severe aortic stenosis (AS) undergoing surgical aortic valve replacement as a pressure overload HFpEF model, and 200 elderly participants with mixed comorbidities to serve as controls. (unav.edu)

Appearance and modeling of bubble artifacts in intracranial magnetic resonance-guided laser interstitial thermal therapy (MRg-LITT) temperature images. (qxmd.com)

Towards high-accuracy classifying attention-deficit/hyperactivity disorders using CNN-LSTM model. (cdc.gov)

External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations. (cdc.gov)
Once we made the observation that TG-based screening tests were not optimally beneficial in African descent populations, we used metabolic testing and mathematical modeling to identify the etiology. (nih.gov)
Mathematical constraints on FST: multiallelic markers in arbitrarily many populations. (who.int)

The prognostic value of machine learning techniques versus cox regression model for head and neck cancer. (cdc.gov)
This cost-effective, simple image acquisition system can be used in the large-scale screening programs and retinal image analysis developing mathematical and computational techniques. (hindawi.com)

Predicting Poor Glycemic Control During Ramadan Among Non-Fasting Patients with Diabetes using Artificial Intelligence based machine learning models. (cdc.gov)

The authors simulated five attack strategies (1 SAPP and 4 non-SAPP), and concluded that the SAPP model was significantly more effective in reducing the final number of terrorist attacks. (emerginginvestigators.org)

METHODS: In vivo high-frequency echocardiography and ex vivo synchrotron X-ray tomography were combined to build fluid-structure interaction finite element models of the fluid dynamics and biomechanics inside the ventral aorta. (bvsalud.org)

Using these mathematical models, we can help biologists narrow down the variables they consider. (jhu.edu)
We recently reported the usefulness of applying mathematical models ( i.e. principal component and cluster analyses) to multiple variables for the identification of clinical phenotypes in a cohort of COPD subjects [ 4 ]. (ersjournals.com)

The results of the neural network models were in agreement with experimental results and aided in the evaluation of the effects of aging temperature on double shear strength. (emerginginvestigators.org)

There are a number of models published within the literature but there has been no active attempt to compare and classify these models. (gla.ac.uk)

Mathematical modeling predicted the dependence of solute clearances on the extent to which solutes were taken up by the carbon block and were bound to plasma proteins.RESULTS: By itself, the conventional system provided clearances of the tightly bound solutes p-cresol sulfate (PCS) and indoxyl sulfate (IS) of only 18±10 and 19±11 ml/min, respectively (mean±sd). (stanford.edu)
Moreover, two numerical system control simulations are performed on the diatomic molecule described by the Morse oscillator model under the control law proposed. (scitevents.org)

Subjects may be included at the investigator's discretion for "not clinically significant" values outside of normal range and = Grade 2. (who.int)

The authors looked at how a 3D bioprinter could be used to model the blood brain barrier. (emerginginvestigators.org)

The model is validated using a large set of numerical simulations covering a wide range of flow regimes representative of those used in laboratory experiments. (imperial.ac.uk)

The force-[Ca2+]i relationship of myofibrils was used as the basis of modelling H+ competition with Ca2+, and thus of pH effects on contraction. (ox.ac.uk)

These optimisation strategies ultimately were formed into a generalised modelling framework. (gla.ac.uk)

In funding period 1 , the research focus is on primary sensor technology, model development, analysis methods and the fundamental proof of the functionality of the EmpkinS approach. (empkins.de)

Profound antegrade longitudinal motion was induced in the innermost part of both tapered phantoms and the numerical models, but to a lesser extent when intramural friction was increased in the simulations. (bvsalud.org)
The motion of the straight phantom and the corresponding numerical model was smaller, on average zero or close to zero. (bvsalud.org)

In addition to fine-tuning the classification model, they investigate how accuracy is affected by their changes (an important task when developing and updating algorithms). (emerginginvestigators.org)

In this paper, we have applied parametric local sensitivity analysis (LSA) to a linear elastic model of the arm arteries, to find and rank sensitive param- eters that may be helpful in clinical diagnosis. (kobv.de)

Further development of the model and methods will permit personalized assessment of patient BF status. (frontiersin.org)

This framework draws on the ideas of mathematical topology to underpin and explain any change or optimisation to a model. (gla.ac.uk)
The model demonstrated that air bubbles up to approximately 1 cm in diameter could explain the clinically observed phase artifacts. (qxmd.com)

Physiologically based model2

Diseases7

Autoregulation4

Statistical4

Physiological6

Predicts2

Humans1

Parameters6

Myocardium1

Mortality3

Biomechanical4

Hypertension2

Prediction4

Predictive6

Prognostic Model2

Estimate4

Centre1

Metabolism1

Disease5

Neurological1

Meaningful1

Imaging3

Risk2

Data6

Myocardial5

Researchers1

Decrease1

Study4

Cardiac2

Arterial1

Simulate1

Computational models3

Coronary2

Human2

Relevant1

Aortic1

Magnetic1

Disorders1

Populations3

Techniques2

Diabetes1

Significantly1

Fluid-structure i1

Variables2

Experimental1

Classify1

System2

Significant1

Blood1

Laboratory1

Effects1

Ultimately1

Research1

Numerical2

Investigate1

Analysis1

Development1

Explain2