Cancer Results

Mousumi Banerjee sitting in the Diag on the campus of the University of Michigan

How biostatistics can improve cancer care, pediatric heart health and health equity

A University of Michigan researcher explains how data, teamwork and statistical science can reveal disparities, guide care and improve health outcomes

University of Michigan biostatistician Mousumi Banerjee discusses her journey from Kolkata and mathematics to public health, cancer research, pediatric heart care and health equity. In this Q&A, she explains how biostatistics, machine learning and global partnerships can turn complex health data into evidence that improves care and lives for communities.

An illustration of an ovary with ovarian cancer.

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.

Illustration of the University of Michigan School of Public Health

On the Heights: January 2026

January highlights include groundbreaking research on structural racism and environmental health, new Impact Institute and sustainability funding awards, and faculty expertise featured in national media coverage and global health initiatives.

Jian Kang in front of a body of water

From equations to impact: Advancing public health through biostatistics

Q&A with University of Michigan researcher Jian Kang on mental health, aging and cancer

Jian Kang is a professor and associate chair for Research in the Department of Biostatistics at Michigan Public Health, where he develops cutting-edge statistical methods for analyzing complex biomedical data. He’s particularly interested in brain-computer interfaces and neuroimaging, developing methods that help researchers better understand how the brain works and how it changes with age or disease.