Related Experiment Video
Updated: Aug 14, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Introduction of computational models to PhysioNet
R Mukkamala1, G B Moody, R G Mark
1Harvard-MIT Division of Health Sciences and Technology, Cambridge, USA. rmukkama@mit.edu
Abstract:
PhysioNet is a national research resource that provides experimental data sets and open-source software for their analysis. Computational modeling can complement studies of these experimental data sets so as to facilitate the advancement of physiologic research. Thus, in order to introduce computational models to PhysioNet, we have developed and posted a cardiovascular model designed for research that generates reasonable human pulsatile hemodynamic waveforms, cardiac output and venous return curves, and beat-to-beat variability. Some of the key features of the software include: 1) compatibility with PhysioNet's open-source data analysis software; 2) online viewing and parameter updating as the data are being calculated; 3) off-line viewing after completion of the simulation; 4) pre-compiled Linux binaries; 5) open-source code that may be compiled on other platforms; and 6) an extensive user's manual and software guide.
More Related Videos
Related Concept Videos
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Mechanistic Models: Overview of Compartment Models
Model Approaches for Pharmacokinetic Data: Physiological Models
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

