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EXTENDED: How AI Chatbots Could Help Predict Antimalarial Drug Resistance Before It Strikes (with Robert Opoka and Elizabeth Winzeler)
Manage episode 456716423 series 3531530
Johns Hopkins Malaria Research Institute and Johns Hopkins Bloomberg School of Public Health에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Johns Hopkins Malaria Research Institute and Johns Hopkins Bloomberg School of Public Health 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
We focus on drug resistance and the troubling news that the frontline drug against malaria, artemisinin, is failing due to resistant parasites in severe cases of malaria, and how the collective efforts of drug development – and the data produced – could be used to build an AI chatbot capable of predicting resistance before it strikes.
With Robert Opoka and Elizabeth Winzeler.
About The Podcast
The Johns Hopkins Malaria Minute is produced by the Johns Hopkins Malaria Research Institute to highlight impactful malaria research and to share it with the global community.
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