Explore the intersection of artificial intelligence and healthcare in this 40-minute World Science Festival talk featuring renowned computer scientist and Coursera co-founder Daphne Koller. Moderated by Brian Greene, delve into the collaborative relationship between AI and biology, discovering how machine learning interprets vast amounts of biological data at scale. Learn about AI's groundbreaking insights into protein folding and RNA sequencing, and discuss the importance of interdisciplinary collaboration in scientific research. Gain perspective on the future of AI in human health contexts and its potential impact on drug discovery and development over the next decade.
Overview
Syllabus
- Introduction
- Participant Introduction
- Defining The Collaborative Relationship Between AI And Biology
- How AI Interprets Large Amounts Of Biological Data At Scale
- How AI Has Provided New Insight Into The Protein Folding Problem
- Progress Made Interpreting RNA Sequencing
- How Can Scientists From Multiple Disciplines Work Together?
- 10 Years From Now, How Do We Use AI Systems In A Human Health Context?
- Credits
Taught by
World Science Festival
Related Courses
-
AI for Scientific Research
-
Essentials of Genomics and Biomedical Informatics
-
Machine Learning for Discovery of Translatable Targets and Biomarkers - Keynote
-
Drug Discovery Generative AI: End-to-End De Novo Proteins and Tensor Networks
-
PROTPARDELLE: An All-Atom Protein Generative Model - Broad Institute Machine Learning in Drug Discovery Symposium 2023
-
Decoding Biology with Data Abundance - Machine Learning in Drug Discovery
