Article

AI-Driven Variant Annotation for Precision Oncology in Breast Cancer

2025-03-17

Abstract excerpt

Interpreting the functional impact of genomic variants remains a major challenge in precision oncology, particularly in breast cancer, where many variants of unknown significance (VUS) lack clear therapeutic guidance. Current annotation strategies focus on frequent driver mutations, leaving rare or understudied variants unclassified and clinically uninformative. Here, we present an AI/ML-driven framework that syst...

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Literature Corpus work: 2b92c204-7d00-5494-b2c6-65d62378d4a4
DOI: 10.1101/2025.03.14.643357

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