Dr. Noémie Elhadad is an Associate Professor of Biomedical Informatics, affiliated with Computer Science and the Data Science Institute at Columbia University. She speaks with us about her work on using AI and crowdsourced data to study menstrual health. More broadly, she discusses opportunities and challenges around crowdsourced health information, which can help researchers learn about otherwise understudied conditions and efficiently collect otherwise hard-to-access medical data.
Pranav and Adriel first give an overview of endometriosis and Professor Elhadad's work with self-tracked data. The interview with Professor Elhadad starts at 8:25. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.
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