Harnessing Data to Unveil Discoveries and Transform Health

MiCHAMP members conversing
MiCHAMP brings together faculty investigators from multiple U-M schools and colleges and is affiliated with the Institute for Healthcare Policy and Innovation (IHPI). The primary goal of this multidisciplinary research collaborative is to harness existing national, regional and local healthcare data sets to develop medical prediction models that address complex clinical problems. Through rich interactions with data science methodologists, informaticians, and clinical researchers, investigative teams aim to transform patient care to improve quality and decrease healthcare costs.

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Warm congratulations to Prof. Jenna Wiens, she has received the @UMich Sarah Goddard Power Award for outstanding research and advocacy for women in academia!👏👏👏

https://cse.engin.umich.edu/stories/jenna-wiens-receives-u-m-sarah-goddard-power-award-for-outstanding-research-and-advocacy-for-women-in-academia

.@zachia5 from @MayoClinic will be discussing "Developing AI models in a clinical environment- from an idea to a clinically used medical test" this Friday from 2-3 PM EST as part of the @UM_MiCHAMP Big Data & AI in Health Seminar Series https://michamp.med.umich.edu/events-seminars/

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