University of California researchers are making groundbreaking use of information from electronic health records with billions of data points to fast-track breakthrough insights in medical practice and treatment.

This approach, enabled by data science methods, makes medical research more efficient by evolving traditional methodologies that have been the convention for collecting and analyzing clinical data.

In two recent publications, UC Health researchers have used data science to propose more effective breast cancer detection methods and to better understand COVID-19 breakthrough infection risk on-pace with the virus’s mutation.

Read the full story from the UC Health Newsroom

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