BIMS 5410

Computational Methods in Diabetes and Endocrinology

Course Description

Pre-Requisite(s): consent of advisor

A focused introduction to contemporary quantitative methods applied to basic and clinical diabetes and endocrine research. Topics may include the clinical blood glucose optimization problems of diabetes, history of quantifying characteristics of T1DM and T2DM, error-grid analysis, behavioral determinants of T1DM control, risk analysis of blood glucose data, use of self-monitoring blood glucose data for evaluation of patients' glycemic control, stochastic modeling of blood glucose fluctuations, network modeling of blood glucose dynamics, and analysis of continuous monitoring data.


Looks like this course isn't being taught this semester.

Sort by "All" in the top right to see previous semesters.