Explainable AI in Biology
Su-In discusses the critical need for explainable AI in biology, emphasizing that traditional methods often fall short in providing biological insights. By focusing on how genes interact and collaborate, her research aims to create frameworks that not only enhance understanding but also improve predictions for cancer treatment effectiveness.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Explainable AI for Biology and Medicine with Su-In Lee - 642
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