Environmental Health Sciences,Faculty Results

Deaths of white women with no higher education largely driving rising maternal mortality

Study applies ‘weathering’ concept to tease out America’s persistent public health threat

The racial gap in maternal mortality is narrowing, driven largely by climbing death rates of white women with no more than a high school education and declining rates for college-educated Black women, new U-M research shows.

How does extreme weather affect community health? A University of Michigan researcher explains

Environmental epidemiologist Carina Gronlund on the surprising links between housing, heat and health equity—and what can be done about it

University of Michigan’s Carina Gronlund investigates how Detroit’s neighborhoods, weather and housing shape health risks. Her research connects extreme heat, pollen and poor housing to sleep, cognitive health and disease—advancing environmental justice, public health, and community resilience amid shifting climate conditions.

Michigan firearm safety laws turn 2: New program offers guidance, info, support on how and when to use them

It has been two years since Michigan’s new firearm safety laws took effect. The University of Michigan is rolling out a program that translates the legislation to real-life situations.

Can AI help predict outcomes in ovarian cancer?

International team of researchers awarded multimillion-dollar grant to apply AI to identify factors tied to long term survival

Epidemiology professor Leigh Pearce is leading an international team conducting AI-driven analysis to predict ovarian cancer survival and treatment response. Their analysis will help guide treatment selection and clinical trial recommendations.

On the Heights: February 2026

February highlights include faculty expertise on AI-driven cancer research, youth violence prevention, farmworker housing policy, epigenetics and ultra-processed foods, and a new state advisory appointment.

AI grant targets deadliest form of ovarian cancer

University of Michigan researcher receives a multimillion-dollar grant to use AI to better predict survival and treatment outcomes for the most common and deadly form of ovarian cancer.