Artwork

Innhold levert av Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

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

44:37
 
Del
 

Manage episode 307203111 series 2833637
Innhold levert av Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

Artwork
iconDel
 
Manage episode 307203111 series 2833637
Innhold levert av Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins, Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, and Marc Robbins eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

Semua episod

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2025 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett
Lytt til dette showet mens du utforsker
Spill