Tissue-Agnostic Cellular Morphometric Biomarkers for Risk-Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers
While precision oncology increasingly adopts tissue-agnostic paradigms, current strategies remain heavily reliant on molecular alterations, with limited relevance to early-stage cancers and precancerous lesion management. Here we present an unsupervised and interpretable artificial intelligence framework that defines tissue-agnostic cellular morphometric biomarkers (CMBs) capturing conserved tumor microenvironment (TME) architectures associated with cancer progression across gastrointestinal (GI) organs. Discove…
An unsupervised AI framework discovered a 13-marker cellular morphometric signature from colorectal whole-slide images that transferred to gastric and esophageal cancers and enabled risk stratification of precancerous lesions and early-stage cancers to guide surveillance and intervention.
Evidence
- Peer-reviewedAdvanced Science2026-08-25
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Truvace Impact Record TRV-2026-0890, v1: “Tissue-Agnostic Cellular Morphometric Biomarkers for Risk-Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers.” Truvace, 2026-08-26. /record/TRV-2026-0890 (accessed at citation time). sha256 d4fa5a873ad46fb5…
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