Cytokine-Based Machine Learning Approach to Predict Protein Immunogenicity

Time: 3:00 pm
day: Conference Day Two

Details:

• Explore cytokine-based machine learning as a novel framework for modeling T-cell activation beyond MHC binding predictions
• Demonstrate how the data-anchored model can improve immunogenicity prediction and enhance immune response modeling
• Discuss emerging applications of cytokine-informed models and their potential as complementary tools in therapeutic design and immunological research

Speakers:

Yuri Iozzo Yuri Iozzo, PhD eqv (AKA Egor Svidritskiy) is a structural biologist and machine learning expert whose early research, while at UMass Medical School, on translation Read more