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papersTODAY 04:00 UTC

arXiv paper reviews barriers to trustworthy AI use in cancer genomics

A revised arXiv paper examines how AI and natural language processing are used to extract and interpret biomedical knowledge in cancer genomics. It argues that clinical adoption has lagged and lays out the barriers, risks and possible pathways needed for trustworthy translation into routine oncology. The work is a review and framing contribution rather than a report of new model results.

healthcare/nlp/clinical-translation/research