• His work draws on numerous fields in applied mathematics and statistics including stochastic processes, integro and partial differential equations, dynamical systems, spatial moments, statistical modelling, and parameter inference. (canterbury.ac.nz)
  • It also asks how we can build mathematical models that capture ion flux dynamics occurring at the cellular level in terms of the mathematical framework of stochastic differential equations and how these models can be implemented efficiently and to ensure biologically realistic solutions. (ox.ac.uk)
  • Continuum mechanics is an appealing framework to model the active responses of active soft biological tissues at the macroscale. (houstonmethodist.org)
  • Mathematical modelling of some types of GRN sub-circuit has deepened biological understanding of the functions they mediate. (nature.com)
  • Berg M, Holroyd N, Walsh C, West H, Walker-Samuel S, Shipley R. Challenges and opportunities of integrating imaging and mathematical modelling to interrogate biological processes. (umassmed.edu)
  • These features of models being highly tuned and deterministic mean that it is very difficult to capture the underlying variability manifested by experiments and additionally that it is impossible to capture the stochasticity that is evident in all biological processes and that occurs at many different spatial and temporal scales. (ox.ac.uk)
  • The spatial complexity and heterogeneity of biological tissue can fundamentally alter the laws of standard diffusion and so we ask how can we build novel mathematical models that can capture this heterogeneity in insightful ways? (ox.ac.uk)
  • In the present study we test both a new model of job -related coronary heart disease (CHD) risk, and introduce a new technique for assessing the effects of job characteristics of detailed occupational groups. (cdc.gov)
  • However, because good job data is lacking in major U. S. cardiovascular data bases, in order to test for comparable U.S. associations, we are obliged to develop a methodology for linking the data bases concerning job conditions and CHD incidence, respectively (a methodology which also can be applied to occupational diseases other than heart disease). (cdc.gov)
  • Heart Failure (HF) is the only cardiovascular disease for which incidence, prevalence, morbidity, mortality, and costs are not decreasing. (frontiersin.org)
  • Infectious Disease Modelling 7(1): 184-198. (canterbury.ac.nz)
  • Our findings provide valuable insights into the underlying mechanisms of cardiovascular sex differences and may help facilitate the development of effective noninvasive cardiovascular monitoring methods for early diagnosis and prevention of cardiovascular disease in both women and men. (bvsalud.org)
  • I further explore issues of resource allocation in low and middle-income countries through disease modeling and cost-effectiveness analyses. (stanford.edu)
  • Compartmental models (CMs) are also used to represent different causal mechanisms, by depicting flows between disease states on the population level. (medrxiv.org)
  • 14 %) and those with coexisting conditions (10 % for those with cardiovascular disease and 7 % for those with diabetes) (Emanuel et al. (nsf.gov)
  • With natural history models we can learn more about the progression of the disease, study the effects of breast cancer screening, and predict a woman's future risk of breast cancer. (ki.se)
  • Prognostic models can also be used for predicting the risk of disease at the population level [ 8 ], one example being a tool that predicts the population risk for diabetes to aid health services planning and delivery [ 9 ]. (biomedcentral.com)
  • Mathematical Biosciences 351 http://dx.doi.org/10.1016/j.mbs.2022.108885 . (canterbury.ac.nz)
  • 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)
  • In this work, we test the hypothesis that in a statistical shape model (SSM), the modes that are most relevant for describing anatomy are also most important for determining the output of cardiac electromechanics simulations. (plos.org)
  • The thesis includes four studies, starting with the development of the statistical framework for the natural history model and then its application on a Swedish mammography screening cohort in study I-II. (ki.se)
  • My background is in mathematical statistics, with a special interest in statistical modelling. (ki.se)
  • In Biomechanics of Living Organs: Hyperelastic Constitutive Laws for Finite Element Modeling (pp. 31-58). (houstonmethodist.org)
  • We quantified alterations in myocardial function in a mathematical model of the human LV that is based on the finite element method. (frontiersin.org)
  • We therefore explored a physics-based mathematical [finite element (FE)] model of the normal human LV to test the hypothesis that reduced subendocardial contractility combined with compensatory high subepicardial contractility may help in preserving LVEF independent of changes in myocardial geometry and material properties. (frontiersin.org)
  • Mechanical modeling using finite element analysis has been used to interpret the experimental observation of plant cell growth to understand how they differentiate, for instance. (wikipedia.org)
  • The deformation of the four-chamber heart models was simulated using a finite-element mechanical solver with a sliding boundary condition to mimic the tissue surrounding the heart. (kit.edu)
  • This framework draws on the ideas of mathematical topology to underpin and explain any change or optimisation to a model. (gla.ac.uk)
  • This strand of work attempts to underpin, using novel mathematical and computer software approaches, the other lines of research in the group. (ox.ac.uk)
  • The framework also gives an overview of the autoregulatory research domain as a whole as a result of its abstract nature. (gla.ac.uk)
  • Abstract This project is funded by the US National Science Foundation (NSF) through their NSF RAPID program under the title "Modeling Corona Spread Using Big Data Analytics. (nsf.gov)
  • 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)
  • Hopefully, we have communicated that these types of modelling approaches are useful for a wide array of applications. (ki.se)
  • Improved Reduced-Order Modelling of Cerebrovascular Flow Distribution by Accounting for Arterial Bifurcation Pressure Drops. (simula.no)
  • A Simple and Rational Approach to Outflow Conditions in Cerebrovascular CFD Models. (simula.no)
  • Here the existence and the spatial profile of topological states as well as the band structure of the model can be determined. (uni-wuerzburg.de)
  • We also attempt to understand the relationship between spatial heterogeneity and cardiac function via modelling. (ox.ac.uk)
  • Although the NCCDPHP framework consists of a more-focused set of SDOH domains than other frameworks commonly used in public health, such as the Healthy People 2030 SDOH Framework (7), it is well-aligned with broader conceptualizations of SDOH. (cdc.gov)
  • The model of job -related CHD risk has been successfully tested in Sweden with incidence data at the individual level. (cdc.gov)
  • At the microscopic scale, the effects of individual red blood cells become significant, and whole blood can no longer be modeled as a continuum. (wikipedia.org)
  • Michael Plank is a Professor in the School of Mathematics and Statistics at the University of Canterbury, a Fellow of the New Zealand Mathematical Society, and an Investigator at Te Pūnaha Matatini, New Zealand's Centre of Research Excellence in Complex Systems and Data Analytics. (canterbury.ac.nz)
  • A validated mathematical model of the cardiovascular system is used as a virtual laboratory to simulate and compare multiple scenarios where parameters associated with sex differences are varied. (bvsalud.org)
  • 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)
  • As these models are nonlocal we then ask how can we build efficient computational techniques to simulate them and how can we validate this nonlocal dynamics? (ox.ac.uk)
  • Second, we simulate the Exo-SIR model with and without assuming contact network for the population. (nsf.gov)
  • This report demonstrates how the Prevention Impacts Simulation Model (PRISM) can be incorporated in evaluations to estimate cumulative longer-term impacts of SDOH initiatives. (cdc.gov)
  • We used the Prevention Impacts Simulation Model (PRISM) in a rapid evaluation to better understand the implementation and potential impact of MCPs' SDOH initiatives. (cdc.gov)
  • Our work seeks to better understand these phenomena through both mathematical analysis and computational simulation. (edu.au)
  • Also, the ADDITION-Europe Simulation Model Study shows early diagnosis reduces the risk of suffering cardiovascular events and mortality ( 2 ), which also spurs research associated with early diagnosis. (frontiersin.org)
  • Is a Dynamic Grouping Structure Appropriate for Crowd Simulation Modeling in Emergency Situations? (actapress.com)
  • Professor Plank's research interests are in mathematical biology and mathematical epidemiology. (canterbury.ac.nz)
  • Mathematical Medicine and Biology 39(2): 156-168. (canterbury.ac.nz)
  • He was the Chair of the Bioengineering Division of the American Society of Mechanical Engineers (ASME), the first non-MD President of the International Society for Applied Cardiovascular Biology, and the Secretary of the Executive Committee of the Biomedical Engineering Society (BMES), for which he served on the Board of Directors for 10 years. (pitt.edu)
  • 2012) Elected President, International Society for Applied Cardiovascular Biology (ISACB). (pitt.edu)
  • 2006) Named to Executive Council of the International Society for Applied Cardiovascular Biology (ISACB). (pitt.edu)
  • These features make the Royston-Parmar model attractive for prediction, yet their current uptake for prognostic modeling is unknown. (biomedcentral.com)
  • As a result, in cardiac models, representing patient anatomy using a limited number of modes of anatomical variation can cause a loss in accuracy of simulated electromechanical function. (plos.org)
  • This highlights the need to have high fidelity anatomical models in cardiac simulations and demonstrates that subtle changes in cardiac anatomy can have a large impact on cardiac function. (plos.org)
  • Mathematical modelling in Computational Cardiac Electrophysiology has a long history of over 50 years and can be broadly characterized by the modeling of ion flux dynamics in single cells, coupled, where appropriate, with models for the propagation of an action potential in tissue. (ox.ac.uk)
  • Mathematical modelling with Bayesian inference to quantitatively characterize therapeutic cell behaviour in nerve tissue engineering. (umassmed.edu)
  • Computational models and simulations are used to predict the relationship between parameters that are otherwise challenging to test experimentally, or used to design more relevant experiments reducing the time and costs of experiments. (wikipedia.org)
  • Model simulations suggest that the balance between the contractile function of the left ventricle and the load opposed by the arterial circulation attains similar levels in females and males, but is achieved through different combinations of factors. (bvsalud.org)
  • Mathematical models are widely used in biomechanics to represent the contractile activity of living organs. (houstonmethodist.org)
  • Comparative biomechanics is often applied in medicine (with regards to common model organisms such as mice and rats) as well as in biomimetics , which looks to nature for solutions to engineering problems. (wikipedia.org)
  • Prognostic models incorporating survival analysis predict the risk (i.e., probability) of experiencing a future event over a specific time period. (biomedcentral.com)
  • Thus, the objectives were to conduct a scoping review of how the Royston-Parmar model has been applied to prognostic models in health research, to raise awareness of the model, to identify gaps in current reporting, and to offer model building considerations and reporting suggestions for other researchers. (biomedcentral.com)
  • Since 2001, only 12 studies were identified that used the Royston-Parmar model in some capacity for prognostic modeling, 10 of which used the model as the basis for their prognostic model. (biomedcentral.com)
  • Despite the advantages of the Royston-Parmar model for prognostic models, they are not widely used in health research. (biomedcentral.com)
  • Better reporting of details about the restricted cubic spline is needed, so the prognostic model can be used and validated by others. (biomedcentral.com)
  • When regression modeling is used for prognostic models, survival analysis is a common regression model type because it accounts for the relationship between the predictor(s) and the outcome(s) and the time until the occurrence of the outcome(s) [ 4 , 5 ]. (biomedcentral.com)
  • While predictions are often presented for a specific time point, prognostic models based on survival analysis enable predictions to be a function of study follow-up time, which increases the application of the model for different contexts. (biomedcentral.com)
  • In this chapter, we illustrate, exemplify, and discuss the implementation of these two formulations of mechanical activity through three applications to cardiovascular mechanics. (houstonmethodist.org)
  • He is currently studying the biomechanical progression of aortic aneurysms by modeling the mechanical forces that act on the degenerating vessel wall. (pitt.edu)
  • Due to the equivalence of the Hamiltonian matrix describing tight binding models and the grounded circuit Laplacian describing an electrical circuit we can investigate such phenomena in circuits. (uni-wuerzburg.de)
  • The particular advantages of the experimental investigation of non-exclusively topological phenomena by means of electric circuits come to light in the realization of non-Hermitian and non-linear models. (uni-wuerzburg.de)
  • In this thesis, we developed risk predictions which can incorporate the effects of screening directly---something that the conventional risk prediction models can't do. (ki.se)
  • Biophysical computational models of the heart provide a quantitative framework for mapping changes in anatomy to whole heart function. (plos.org)
  • The focus of modern neuroscience on cognitive processes has relegated to behavior the epiphenomenal status of neural processing and the difficulties generated by this interpretation have encouraged the use of computational models. (bvsalud.org)
  • In a new thesis, Rickard Strandberg, PhD student at the Department of Medical Epidemiology and Biostatistics, lays the foundations for a new natural history model for breast cancer. (ki.se)
  • Mathematical models of the human heart are evolving to become a cornerstone of precision medicine and support clinical decision making by providing a powerful tool to understand the mechanisms underlying pathophysiological conditions. (kit.edu)
  • In 2002, Royston and Parmar described a type of flexible parametric survival model called the Royston-Parmar model in Statistics in Medicine , a model which fits a restricted cubic spline to flexibly model the baseline log cumulative hazard on the proportional hazards scale. (biomedcentral.com)
  • A classical form of optimisation by constraining a model parameter to cause a better predictive accuracy. (gla.ac.uk)
  • In this study, anatomical and functional differences between men and women in their cardiovascular systems and how these differences manifest in blood circulation are theoretically and experimentally investigated. (bvsalud.org)
  • A combination of pathological mechanisms led to reduced and slower deformation of the LV and halved the longitudinal shortening of the LA. Conclusions: This study uses a computer model to determine the changes in LV deformation caused by pathological mechanisms that are presumed to underlay HCM. (kit.edu)
  • Koide, T., Hayata, T. & Cho, K. W. Y. Xenopus as a model system to study transcriptional regulatory networks. (nature.com)
  • Prediction model of obstructive sleep apnea-related hypertension: Machine learning-based development and interpretation study. (cdc.gov)
  • Lust ST, Shanahan CM, Shipley RJ, Lamata P, Gentleman E. Design considerations for engineering 3D models to study vascular pathologies in vitro. (umassmed.edu)
  • Through this framework, we can evaluate how robust simulated epidemiological study results are to different biases in study design and underlying causal mechanisms. (medrxiv.org)
  • In study III, Rickard Strandberg focuses on risk prediction with a modification of the natural history model to incorporate risk factors separately in each of the four components of the model. (ki.se)
  • In Study IV, the model is used to study the effect that certain acquisition parameters used in mammography have on the detectability of breast cancer tumors. (ki.se)
  • Validating the model against data from other study populations is also an important step. (ki.se)
  • An often studied liquid biofluid problem is that of blood flow in the human cardiovascular system. (wikipedia.org)
  • Indeed, in the newly-developing field of cognitive science, computer models of thought are explicitly used to describe human capabilities. (mit.edu)
  • A combined experimental and computational framework to evaluate the behavior of therapeutic cells for peripheral nerve regeneration. (umassmed.edu)
  • I use a mix of experimental, econometric, qualitative, modeling, and demographic tools to produce insights and strategies for improving health. (stanford.edu)
  • In particular it addresses the fundamental question of how to capture the variability through new paradigms such as populations of models calibrated against ranges of experimental data, rather than just the metric of the mean value? (ox.ac.uk)
  • As a validated model that estimates impact using available implementation data, PRISM is a useful tool for rapid evaluation of SDOH initiatives. (cdc.gov)
  • These labeled data are then used to train a predictive model to make future predictions in older adults related to shortness of breath abnormality. (bvsalud.org)
  • The model-predicted outputs are found to be consistent with published clinical data. (bvsalud.org)
  • Building whole-of-plant virtual models from scanned data requires scattered data interpolation combined with clustering, smoothing, regularisation, partitioning and processing to generate realistic virtual models. (edu.au)
  • System dynamics modeling is an underused tool for informing and refining public health interventions. (cdc.gov)
  • Cardiovascular model parameters related with women's faster heart rate, stronger ventricular contractility, and smaller blood vessels are used as inputs to quantify the impact (i) on the distribution of blood volume through the cardiovascular system, (ii) on the cardiovascular indexes describing the coupling between ventricles and arteries, and (iii) on the ballistocardiogram (BCG) signal. (bvsalud.org)
  • Third, we implement the Exo-SIR model on real datasets regarding Covid-19 and Ebola. (nsf.gov)
  • Moreover, for the second strategy, we show other critical miRNAs can be made apparent through the disease's comorbidities, and in this case, overall, the hsa-mir-103a-3p models work well for all the datasets, especially in T2D, while the hsa-mir-124-3p models achieved the best scores for the AD datasets. (frontiersin.org)
  • Additionally, we examine the potential of using the BCG waveform, which is directly related to cardiovascular volumes, as a noninvasive method for monitoring cardiovascular function. (bvsalud.org)
  • 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)
  • Logistic regression and artificial neural network-based simple predicting models for obstructive sleep apnea by age, sex, and body mass index. (cdc.gov)
  • The proposed convolutional neural network (CNN) architecture implements an autoencoder network and separable convolutional branches fused with a modified DenseNet-201 network to build a vigorous, noise-free classification model. (paperswithcode.com)
  • The model stands out for contextualizing neural processing as part of the response, addressing the behavioral phenomenon as a whole that needs to be explained in its most different levels of analysis. (bvsalud.org)
  • El enfoque de las neurociencias modernas en los procesos ha relegado al comportamiento el status de epifenómeno del procesamiento neural y las dificultades generadas por esa interpretación incentivaron el uso de modelos computacionales. (bvsalud.org)
  • El modelo se destaca por contextualizar el procesamiento neural como parte de la respuesta, tratando el fenómeno conductual como un todo que necesita ser explicado en sus más diferentes niveles de análisis. (bvsalud.org)
  • He is also designing a small diameter tissue engineered vascular graft to treat cardiovascular diseases. (pitt.edu)
  • By taking advantage of available detailed screening cohorts, Rickard's work includes three diverse applications of this model. (ki.se)
  • A Deep Learning Framework for Automatic Sleep Apnea Classification Based on Empirical Mode Decomposition Derived from Single-Lead Electrocardiogram. (cdc.gov)
  • The objective of this work was to review the concept of behavior by a selectionist approach and propose a connectionist computational model that operates integrally with its neurophysiological bases. (bvsalud.org)
  • By implementing different Hermitian topological models general suggestions on designing those types of circuit are worked out with the aim of minimizing unwanted coupling effects and parasitic admittances in the circuit. (uni-wuerzburg.de)
  • For this model specifically, the most important areas are metastasis and breast cancer sub-types. (ki.se)
  • We explore one of the most recent techniques called symbolic metamodeling to find the mathematical expression of the machine learning models for COVID-19. (paperswithcode.com)
  • Lishak S, Grigorian G, George SV, Ovenden NC, Shipley RJ, Arridge S. A variable heart rate multi-compartmental coupled model of the cardiovascular and respiratory systems. (umassmed.edu)
  • In the case of whole heart modeling the implementations often make use of high performance computing. (ox.ac.uk)
  • However accurately predicting autoregulatory state or even modelling the underlying general physiological processes is a complex task. (gla.ac.uk)
  • Analytic tests can then be made on models of job characteristics which could be CHD risk factors. (cdc.gov)
  • In general, the model of CHD risk, based on low control on the job and high psychological work load, is confirmed. (cdc.gov)
  • Our inference method also allows previous findings about job characteristics of specific occupations to be reviewed against the background of a comparative national framework, and for occupations simultaneously at risk on several factors to be identified for future, more detailed field studies. (cdc.gov)
  • In this context, we analyze the burned area severity estimation problem by exploiting a state-of-the-art deep learning framework. (paperswithcode.com)
  • The open framework of the CSE building's interior is designed to promote interaction at every level of research and learning. (jhu.edu)