File #003: From Fast Data to Faster Drugs — Thomas Wood on AI for Clinical Trials
Impossible d'ajouter des articles
Échec de l’élimination de la liste d'envies.
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
-
Lu par :
-
De :
À propos de ce contenu audio
Physicist-turned-NLP expert Thomas Wood joins hosts Karin and Taymeyah to explore how artificial intelligence is shortening the road from protocol to patient. Thomas recounts founding Fast Data Science, explains why a Bill & Melinda Gates Foundation grant sparked his open-source Clinical Trial Risk Tool, and reveals the AI workflows already cutting months—and millions—from large pharma studies. The panel marks Alan Turing’s 113th birthday, trades “one thing I wish AI could do today,” and tackles myths around machine learning in healthcare. Looking ahead five-to-ten years, Thomas sketches a future of decentralised, patient-centric trials, but warns of regulatory and data-governance hurdles that still loom. New to the field? Stick around for book picks, career tips and a closing thought experiment for Turing himself.
Vous êtes membre Amazon Prime ?
Bénéficiez automatiquement de 2 livres audio offerts.Bonne écoute !