This course explores the frontiers of Medical AI in therapeutics and workflows. The learning outcomes include understanding how multi-modal AI can aid in complex decision-making for cancer treatments and how natural language processing can be used to create custom-generated proteins. The course teaches skills such as building a COVID-specialized search engine and optimizing workflows in healthcare systems. The teaching method involves lectures, discussions, and Q&A sessions. The intended audience includes researchers, healthcare professionals, and individuals interested in the intersection of AI and medicine.
Overview
Syllabus
Introduction
Medical AI
Precision Medicine
Prostate Cancer
Prostate Cancer Worldwide
Current Standard of Care
RCAUC Curve
Capitalmeyer Analysis
SFTC Analysis
Protein Engineering
Protein Design
NLP
Lab Validation
Design Proteins
Workflow Optimization
Coast Search
Trek Search
Semantic Search
System Architecture
Competition Results
Questions
Taught by
Stanford MedAI
