Explore the transformative potential of AI in healthcare and drug discovery in this 37-minute talk by Kira Radinsky, CEO of Diagnostic Robotics and co-founder of Mana.bio. Delve into Radinsky's journey from predicting cholera outbreaks to revolutionizing patient care through predictive analytics. Learn how AI accelerates drug discovery, creates rapid learning feedback loops, and improves healthcare outcomes. Discover the challenges of making bold predictions, the importance of causal inference in GenAI, and the future impact of AI on chemistry and biology. Gain insights on incentivizing AI for bolder predictions and the potential of AI to transform administrative aspects of patient care. Understand how advances in software enable scientific pursuits and the value of predictions in preventing negative outcomes, particularly in healthcare.
Empowering Health Providers with Predictive Analytics - AI in Healthcare and Drug Discovery
Overview
Syllabus
Intro
Why predictions have been so important to Kira from an early age and her dream to be a scientist
How Kira predicts the future and how she became famous for predicting the first cholera outbreak to hit Cuba in more than 100 years
How Diagnostic Robotics makes predictions that improve healthcare outcomes
Big unlocks to make better predictions — and explain them to doctors
What’s “easy” to predict and what’s hard; how to incentivize bots to make bold predictions e.g. an earthquake
Founding Mana.bio and how AI can improve drug discovery
AI will have a huge impact on the administrative aspects of patient care
How Mana.bio creates rapid learning feedback loops
Tips for building with GenAI and why more attention should be paid to causal inference
Where GenAI will be really transformative in the future
Outro
Taught by
Docker
