What It Takes to Turn Data and AI Discovery Into Outcomes with Dr. Alicia Zhou (Part 2)

Everyone agrees that AI will transform how we discover new cancer treatments. The big question though, is what will it take to get there?As access to new forms of data expands, the potential for breakthroughs grows with it. However, many of those breakthroughs risk never making it beyond the idea stage.This is part two of our conversation with Dr. Alicia Zhou, CEO at Cancer Research Institute. We focus on the role that data and AI has on patient outcomes, how the toolkit of a bench scientist is evolving, and whether fully automated discovery is on the horizon.We also address the adoption challenge - the gap between a promising innovation and the product that researchers and clinicians actually end up using.If you’re thinking about where AI is headed in cancer care and where the gaps lie in adoption, this is for you.Covered in this episode:How AI is reshaping the future of scientific discovery.What the next generation of tools for researchers may look like.The potential of new data sources, including ambient clinical data.What it takes to build tools that people actually use.Bridging the gap between innovation and real-world adoption.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/CONNECTDr. Alicia Zhou on LinkedIn - https://www.linkedin.com/in/alicia-zhou-phd-03950610Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623