File #003: From Fast Data to Faster Drugs — Thomas Wood on AI for Clinical Trials
Artikel konnten nicht hinzugefügt werden
Der Titel konnte nicht zum Warenkorb hinzugefügt werden.
Der Titel konnte nicht zum Merkzettel hinzugefügt werden.
„Von Wunschzettel entfernen“ fehlgeschlagen.
„Podcast folgen“ fehlgeschlagen
„Podcast nicht mehr folgen“ fehlgeschlagen
File #003: From Fast Data to Faster Drugs — Thomas Wood on AI for Clinical Trials
-
Gesprochen von:
-
Von:
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.