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Article

Using Artificial Intelligence to Support Informed Decision-Making on BRAF Mutation Testing.

JCO precision oncology - 1 Oct 2024

Webster Jennifer, Ghith Jennifer, Penner Orion, Lieu Christopher H, Schijvenaars Bob J A

Abstract excerpt

PURPOSE: Precision oncology relies on accurate and interpretable reporting of testing and mutation rates. Focusing on the BRAFV600 mutations in advanced colorectal carcinoma, non-small-cell lung carcinoma, and cutaneous melanoma, we developed a platform displaying testing and mutation rates reported in the literature, which we annotated using an artificial intelligence (AI) and natural language processing (NLP)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39475660
DOI: 10.1200/PO.23.00685

Genes

BRAF

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

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