ArticleNPJ precision oncology2023
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology.
Article in NPJ precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
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Who cites it
48 citing papers in PubMed.
- Artificial Intelligence for Molecular Biomarker Identification in Gastrointestinal and Hepatobiliary Cancers.International journal of molecular sciences · 2026Review
- GenoGlyph: Pan-cancer genomic mutation inference and risk stratification from diagnostic histopathology slides.Research square · 2026Article
- Privacy-Preserving Surgical Video Analysis with Swarm Learning - Results from a Multinational Appendectomy Cohort.NEJM AI · 2026Article
- Integrating artificial intelligence and multi-omics data for precision oncology in endometrial cancer: a narrative review.Functional & integrative genomics · 2026Review
- Development and validation of a multimodal AI-agent system for prognosis analysis of bladder urothelial carcinoma.NPJ precision oncology · 2026Article
- AI-Based Methods in Neuropathology for Diagnosis and Treatment of Brain Tumors.European journal of neurology · 2026Review
- Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma.PLoS computational biology · 2026Article
- Article
- SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning.Nature cancer · 2025Article
- Constitutional epimutations in LTBP4, a component of the TGF-β signaling, and in BRCA1, as potential drivers of early-onset colorectal cancer.Clinical epigenetics · 2025Article
- Artificial Intelligence Tools for Supporting Histopathologic and Molecular Characterization of Gynecological Cancers: A Review.Journal of clinical medicine · 2025Review
- Pathologist-interpretable breast cancer subtyping and stratification from AI-inferred nuclear features.bioRxiv : the preprint server for biology · 2025Article
- Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.The Lancet. Digital health · 2025Article
- Robust screening of atrial fibrillation with distribution classification.Scientific reports · 2025Article
- Pan-cancer analysis shapes the understanding of cancer biology and medicine.Cancer communications (London, England) · 2025Review
- Review
- Deep learning model for detecting high-grade dysplasia in colorectal adenomas.Journal of pathology informatics · 2025Article
- Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging.Communications medicine · 2025Article
- Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis.JHEP reports : innovation in hepatology · 2025Article
- Convergence of evolving artificial intelligence and machine learning techniques in precision oncology.NPJ digital medicine · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The histopathological phenotype of tumors reflects the underlying genetic makeup. Deep learning can predict genetic alterations from pathology slides, but it is unclear how well these predictions generalize to external datasets. We performed a systematic study on Deep-Learning-based prediction of genetic alterations from histology, using two large datasets of multiple tumor types. We show that an analysis pipeline that integrates self-supervised feature extraction and attention-based multiple instance learning achieves a robust predictability and generalizability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.