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LIFE SCIENCE • PROJECT

AI/ML-supported Cancer Immunotherapies

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Select neoantigens for personalized immunotherapies for cancer patients

Drug Dosage and Treatment Optimization
Genomic Data Analytics Platform

The Challenge

The solution should analyze patient's genome for structural information of T-cell receptors (TCR), major histocompatibility complexes (MHC), and antigens, thus, being able to select antigens with best fit to TCR and MHC of tumor cells and ignite an immunoresponse.

Value Delivered

The developed pipeline processes patient genome data and applies multiple AI/ML models to predict

antigen class (antigen/neoantigen)

compatibility between antigens and MHCs

compatibility between antigens and TCRs.

and provide most confident neoantigen candidates