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Article

Multimodal artificial intelligence predicts PIK3CA mutation in breast cancer from digital pathology and clinical data: a multicenter study.

Cancer biology & medicine - 7 Apr 2026

Miao Jiaxian, Liu Qi, Zhao Jianing, Fan Shishun, Wang Shenwen, Ye Feng, Wu Si, Li Jinze, Zhang Huirui, Zhang Meng, Bu Hong, Han Xiao, Teng Lianghong, Liu Yueping

Abstract excerpt

OBJECTIVE: Accurate detection of PIK3CA mutations is essential for guiding PI3K-targeted therapies in breast cancer, yet sequencing is not universally accessible, and single-modality prediction models have limited performance. This study developed a multimodal deep learning framework integrating whole-slide imaging (WSI) and structured clinical data to improve mutation prediction. METHODS: A total of 1,047...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 41968976
DOI: 10.20892/j.issn.2095-3941.2025.0771
PMCID: PMC13059889

Genes

PIK3CA

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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