Medical Xpress July 31, 2025
Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both studies were published in the peer-reviewed journal Patterns.
In the first study, Cedars-Sinai investigators applied advanced statistical techniques to analyze electronic health records from nearly 100,000 hospital stays. This approach identified drugs that were unexpectedly associated with raising or lowering blood sugar levels of hospitalized patients.
“Our findings offer practical insights to help clinicians anticipate and manage medication-related blood sugar changes, ultimately improving glycemic safety for patients in hospitals,” said Jesse G. Meyer, Ph.D., assistant professor of Computational Biomedicine at Cedars-Sinai and corresponding author of the study.
In the...
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