Medicine/BioScience Modeling Curriculum Resources

Models in Medicine and the BioSciences

This site provides a collection of interactive exploratory tools in medicine and the biosciences, with a focus on the areas of epidemiology (study of the spread of diseases), pharmacokinetics (the study of drug interactions in the body), and physiology (the study of how the body works). Many of these models have been created by students working at Shodor or students from the Biomedical Engineering Concentration in the Biological Engineering degree program at North Carolina State University, working collaboratively with Shodor scientists and educators.

Genomics Models:


Physiology Models:

Baroweb: a model of the heart and nervous system, explore how blood pressure is regulated!

CADweb: a risk-assessment tool. This statistical tool helps patients to evaluate their risk for coronary artery disease.
Cardioweb: a simple model of the heart using the Windkessel model. Explore the control of cardiac output in healthy and sick patients!
Cholesterol: a simple model of human cholesterol levels. Create your own test cases and discover the cholesterol level associated with each.
Glycolysis: models the concentrations of glucose and other chemicals over a short span of time, demonstrating the process of glycolysis
Dialysis: investigates the role of the kidneys in filtering impurities from the bloodstream. NOTE: this resource was created by biomedical engineering students at North Carolina State University. The site continues to be hosted by Shodor, but is no longer updated or otherwise maintained by Shodor staff
AIDA: large diabetes simulation project, a joint effort between Shodor, the Biomedical Engineering department at North Carolina State University, and Diabetes Insighth (UK).

Pharmacokinetic Models:

Investigate the pharmacological behavior of penicillins
Investigate the pharmacological behavior of flucytosine.
Investigate the pharmacological effects of various dosing regimens.

Epidemiology Models:

Simple Flu Model:
an implementation of the SIR (susceptible - infected - recovered) algorithm
SIR Epidemic Model:
an implementation of the SIR (susceptible - infected - recovered) algorithm where you can modify the information about the disease

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