Nutritional Sciences,Faculty

Blue machine learning pattern.

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.

A person walks a cart down a grocery aisle.

Restriction vs. incentives: The complex reality of SNAP food policies

U-M expert: SNAP food restrictions don't improve health outcomes, while incentive programs show promise

Several states are considering restricting SNAP benefit purchases for soda and certain products like chips and candy. Michigan Public Health professor and researcher Kate Bauer explains why such restrictions fail to improve health outcomes while increasing stigma, and offers evidence-based alternatives that preserve dignity for recipients.

Renée Branch Canady

Canady: 'A just world is healthier tomorrow than it is today for all'

National public health thought leader states case for making room at the table for everyone

Renée Branch Canady, known for her eloquence and passion for public health, delivered a heartfelt message of hope amid challenging times on April 1 at the University of Michigan School of Public Health’s Cornely Community Room. The talk, “Bring a Folding Chair: Making Room at the Table for Health Equity," was a fitting reminder of how pivotal health equity is within the work and lives of the public health community.

An exterior photo of the University of Michigan School of Public Health in grayscale, with a green streetsign reading

On the Heights: March 2025

Departmental news, research highlights, community achievements, and more to help you stay connected with the Michigan Public Health community.