AI

Biostatisticians use machine learning approach to improve risk prediction for recurrent health events

"Random forest" algorithm outperforms traditional methods for predicting patient flare-ups, even with incomplete medical histories

A new machine learning approach developed by University of Michigan School of Public Health researchers better predicts when patients might experience recurring health events like disease flare-ups or hospitalizations, even when patient follow-up data is incomplete.

U-M Precision Health joins with Michigan Genomics Initiative and e-Health & AI to become AI & Digital Health Innovation

The AI and Digital Health Innovation collective combines the focused efforts of two core communities representing the diverse, high-impact areas of digital health research taking place across U-M.

Michigan Public Health professor is first to launch AI-powered Coursera coach for interactive instruction

Vic Stretcher, a professor of Health Behavior & Health Equity, successfully incorporated Coursera Coach AI into his live course to enhance interactivity and engagement. Stretcher expresses enthusiasm for AI's potential in personalized education and health communication.

Researcher studies sleep apnea's effects on metabolism, heart disease using machine learning and wearable health devices

U-M biostatistician Irina Gaynanova awarded $1.8M to develop advanced health monitoring methods

A University of Michigan School of Public Health researcher has received $1.78 million to investigate how treating sleep apnea impacts diabetes and cardiovascular health.