An AI platform to predict clinically relevant T cell antigens, and its applications in therapy and biomarker discovery

Time: 1:00 pm
day: Day One


  • Describing unique antigen discovery algorithms optimized for predicting antigen presentation to the cell surface in an integrated manner
  • Evaluating the immunogenicity of predicted antigens from an infectious disease, and hinting at cross-reactivity across multiple viral species
  • Demonstrating the use of neoantigens as a prognostic biomarker for checkpoint inhibitors against sarcoma in a clinical setting