Can Data-Centric AI Help Us Develop Better Drugs?
Offered By: Snorkel AI via YouTube
Course Description
Overview
Explore the potential of data-centric AI in revolutionizing drug development through this 28-minute video presentation by Snorkel AI. Delve into the challenges of modern medicine and the increasing complexity and cost of developing new therapeutics. Learn how machine learning models can be leveraged to predict outcomes of drug development experiments, potentially outperforming traditional heuristics. Discover the integration of high-quality data from human cohorts with cutting-edge methods in high-throughput biology and chemistry to produce massive amounts of relevant in vitro data. Understand how these data are used to train ML models for predicting novel targets, identifying coherent patient segments, and forecasting clinical effects of molecules. Gain insights into a new approach to drug development that aims to design novel, safe, and effective therapies more efficiently, helping more people at a lower cost. This talk bridges the gap between digital biology, drug discovery, and machine learning in medicine, offering a glimpse into the future of pharmaceutical research and development.
Syllabus
Can Data-Centric AI Help Us Develop Better Drugs?
Taught by
Snorkel AI
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent