Ontology highlight
ABSTRACT: Background
Cancer continues to be the leading cause of mortality in high-income countries, necessitating the development of more precise and effective treatment modalities. Immunotherapy, specifically adoptive cell transfer of T cell receptor (TCR)-engineered T cells (TCR-T therapy), has shown promise in engaging the immune system for cancer treatment. One of the biggest challenges in the development of TCR-T therapies is the proper prediction of the pairing between TCRs and peptide-human leukocyte antigen (pHLAs). Modern computational immunology, using artificial intelligence (AI)-based platforms, provides the means to optimize the speed and accuracy of TCR screening and discovery.Objective
This study proposes an observational clinical trial protocol to collect patient sam
SUBMITTER: Bujak J
PROVIDER: S-EPMC10375398 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature