Disease Diagnostics Using Machine Learning of B Cell and T Cell Receptor Sequences - 30 April 2025
Stanford Department of Medicine via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
The Investment Banker Certification
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
This Grand Rounds presentation from Stanford Department of Medicine explores innovative approaches to disease diagnostics through machine learning analysis of B cell and T cell receptor sequences. Over 58 minutes, Professor Scott Boyd (Professor of Food Allergy and Immunology and Professor of Pathology) leads the discussion alongside Postdoctoral Scholar in Genetics Dr. Maxim Zaslavsky and Clinical Assistant Professor of Primary Care & Population Health Dr. Hilarey Rhansom Bhatt. Discover cutting-edge techniques that combine immunology and computational methods to advance diagnostic capabilities for various diseases through the analysis of immune receptor sequences.
Syllabus
"Disease diagnostics using machine learning of B cell and T cell receptor sequences" | 30 April 2025
Taught by
Stanford Department of Medicine