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Professor Alyssa Bilinski set out to answer a seemingly simple question: how often are pregnant people included in medical trials? Finding the answer, however, was anything but simple. With 90,000 records to analyze, she turned to AI for help—but ensuring the accuracy of the results required a creative approach. Discover how Bilinski tested and refined AI algorithms to deliver reliable insights and advance health policy research.
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By Brown University School of Public Health4.9
1515 ratings
Professor Alyssa Bilinski set out to answer a seemingly simple question: how often are pregnant people included in medical trials? Finding the answer, however, was anything but simple. With 90,000 records to analyze, she turned to AI for help—but ensuring the accuracy of the results required a creative approach. Discover how Bilinski tested and refined AI algorithms to deliver reliable insights and advance health policy research.
Mentioned in this episode:
Tell someone you know!
And one last thing! If you enjoyed today’s episode, text a friend and let them know about the show.

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