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An international team, funded in 2024 by Cancer Grand Challenges, that is collecting huge amounts of data on how immune cells recognise cancer so that a computer can predict it, with the aim of designing immunotherapy for each person's own tumour.
MATCHMAKERS tackles the T-cell receptors challenge, to decipher the T-cell receptor cancer-recognition code. It is led by Michael Birnbaum of the Massachusetts Institute of Technology and was funded in 2024; the page lists ten institutions with locations in Brazil, Germany, the Netherlands, Norway, the UK and the US. The team's three aims are to generate datasets of thousands of T-cell receptor and peptide-MHC pairs from clinical samples, mouse models, synthetic antigens and engineered receptors; to analyse the structures and biochemistry of those interactions at scale; and to train AI models that predict which tumour antigens a given receptor recognises, so that recognition could be predicted from routine biopsies or blood and antigen-specific receptors designed for personalised immunotherapy.
Shares Cancer Grand Challenges and the tag research-funding.
Shares Cancer Grand Challenges, No one can predict who responds to immunotherapy and the tag research-funding.
Shares No one can predict who responds to immunotherapy and the tag research-funding.
Shares Cancer Grand Challenges and the tag research-funding.
Shares Cancer Grand Challenges and the tag research-funding.
Shares TCR-T cell therapy, No one can predict who responds to immunotherapy.
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