The unprecedented wealth of health data brings unprecedented opportunities and challenges to improve healthcare. On the most microscopic level, we are now examining the genome one cell at a time, monitoring in real-time an individual’s health behavior, and prescribing medication based on the genetics and chemistry of each individual. On the most macroscopic level, we can combine dozens of clinical record data for one patient, and can analyze the health data of an entire nation. However, our ability to gain insight into such vast data lags significantly behind our ability to accumulate data. The MIDAS Data-Intensive Health Science Research Hub aims to position UM researchers as national leaders as biomedical science embraces the opportunities and challenges brought about by advances in data science, catalyze the development of theories and innovative methodologies in data science, and their application to the entire spectrum of biomedical science. The hub currently funds three projects. With a variety of hub activities, MIDAS hopes to:
- Disseminate tools and methods to empower campus-wide health research that integrates data science.
- Build a collaborative network of Big Data health science researchers .
- Form industry partnerships and transform research findings into clinical applications that have immediate impact on healthcare.
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