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Matthew Zawistowski, associate professor of biostatistics, led the Michigan Public Health team behind a new reference tool that helps researchers validate genetic findings across major biobanks.
A team of University of Michigan experts has received a federal grant to develop advanced statistical and computational methods for analyzing immune data to enhance our understanding of the immune system's role in aging and age-related diseases.
Researchers at the Michigan Public Health Integrated Center for Analytics and Modeling (MICOM) are using real-time wastewater surveillance to detect virus outbreaks before they start, transforming public health response in Michigan.
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.
Researchers at the University of Michigan and Brown University have developed a new computational method, IRIS, to analyze complex tissue data which could transform our current understanding of diseases and how we treat them.