Using AI to Map the Human Immune System w/ Jabran Zahid - #485
Analysis
This article summarizes a podcast episode from Practical AI featuring Jabran Zahid, a Senior Researcher at Microsoft Research. The episode focuses on the Antigen Map Project, which aims to map the binding of T-cells to antigens using AI. The discussion covers Zahid's background in astrophysics and cosmology and how it relates to his current work in immunology. The article highlights the project's origins, the impact of the coronavirus pandemic, biological advancements, challenges of using machine learning, and future directions. The episode promises to delve into specific machine learning techniques and the broader impact of the antigen map.
Key Takeaways
- •The Antigen Map Project uses AI to map T-cell and antigen binding.
- •The project's origins and evolution were influenced by the coronavirus pandemic.
- •The episode discusses the challenges and advancements of using machine learning in immunology.
“The episode explores their recent endeavor into the complete mapping of which T-cells bind to which antigens through the Antigen Map Project.”