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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.
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.
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 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.
Justin Colacino, an environmental health researcher at Michigan Public Health, uncovers how environmental exposures can cause cancer. His research aims to pinpoint the root causes of cancer, leveraging powerful data and tools to prevent harmful cellular changes before they start.
As recommendations suggest extending hormone-based breast cancer treatment to 10 years for some patients, a recent study sheds light on whether patients are opting for it.