Article
AI-Driven Variant Annotation for Precision Oncology in Breast Cancer.
Clinical and translational science - 1 Oct 2025
Shukla Kriti, Wang Yue, Spanheimer Philip M, Brunk Elizabeth
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 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 Artificial Intelligence/Machine...
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