Accelerating Scientific Discovery in Biomedicine Using Artificial Intelligence
Offered By: Paul G. Allen School via YouTube
Course Description
Overview
Explore how artificial intelligence can accelerate scientific discovery in biomedicine in this colloquium talk by Volodymyr Kuleshov from Stanford University. Discover a new genome sequencing technology that reduces haplotyping costs, learn about GWASkb - an automated curation system for genetic studies, and examine safe machine learning systems for disease risk prediction. Gain insights into how AI can revolutionize genomics, personalized medicine, and the synthesis of scientific knowledge from academic literature. Understand the potential of AI in reducing experimental costs, improving data curation, and enhancing medical decision-making through probabilistic forecasts that remain accurate even under adversarial conditions.
Syllabus
UW Allen School Colloquium: Volodymyr Kuleshov (Stanford University)
Taught by
Paul G. Allen School
Related Courses
Genome Sequencing (Bioinformatics II)University of California, San Diego via Coursera Using Personalized Medicine and Pharmacogenetics
University of East Anglia via FutureLearn Algorithms and Data Structures Capstone
University of California, San Diego via edX Graph Algorithms in Genome Sequencing
University of California, San Diego via edX Algorithms and Data Structures
University of California, San Diego via edX