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Article

Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients.

Nature communications - 13 Apr 2023

Tsai Pei-Chen, Lee Tsung-Hua, Kuo Kun-Chi, Su Fang-Yi, Lee Tsung-Lu Michael, Marostica Eliana, Ugai Tomotaka, Zhao Melissa, Lau Mai Chan, Väyrynen Juha P, Giannakis Marios, Takashima Yasutoshi, Kahaki Seyed Mousavi, Wu Kana, Song Mingyang, Meyerhardt Jeffrey A, Chan Andrew T, Chiang Jung-Hsien, Nowak Jonathan, Ogino Shuji, Yu Kun-Hsing

Abstract excerpt

Histopathologic assessment is indispensable for diagnosing colorectal cancer (CRC). However, manual evaluation of the diseased tissues under the microscope cannot reliably inform patient prognosis or genomic variations crucial for treatment selections. To address these challenges, we develop the Multi-omics Multi-cohort Assessment (MOMA) platform, an explainable machine learning approach, to systematically...

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Identifiers

PMID: 37055393
DOI: 10.1038/s41467-023-37179-4
PMCID: PMC10102208

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