AI‐Driven Variant Annotation for Precision Oncology in Breast Cancer

ABSTRACT 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...

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Hlavní autoři:	Kriti Shukla, Yue Wang, Philip M. Spanheimer, Elizabeth Brunk
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2025-10-01
Edice:	Clinical and Translational Science
Témata:	algorithms cancers classification computational biology genomics proteins
On-line přístup:	https://doi.org/10.1111/cts.70350
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