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Citizen Endo and Enigmatic Illness: Columbia's Dr. Noémie Elhadad on Tech, Equity, and Citizen Science

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Manage episode 307203111 series 2833637
Content provided by Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

  continue reading

41 episodes

Artwork
iconShare
 
Manage episode 307203111 series 2833637
Content provided by Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

  continue reading

41 episodes

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