ArticleNature cancer2020
Deep learning links histology, molecular signatures and prognosis in cancer.
Article in Nature cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed.
- Artificial intelligence empowers full-stack histopathological diagnosis and prognosis of renal cell tumor: a multi-center study with external validation.BMC medicine · 2026Article
- Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hematologic diagnostics.Frontiers in medicine · 2026Review
- Clinical application of deep learning-based measurement of glomerular morphometry in IgAN.Frontiers in immunology · 2026Article
- Automated Detection of Kaposi Sarcoma-Associated Herpesvirus-Infected Cells in Immunohistochemical Images of Skin Biopsies.JCO global oncology · 2025Article
- Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer.Nature communications · 2025Article
- Next-generation sequencing based deep learning model for prediction of HER2 status and response to HER2-targeted neoadjuvant chemotherapy.Journal of cancer research and clinical oncology · 2025Article
- Machine Learning Approach and Bioinformatics Analysis Discovered Key Genomic Signatures for Hepatitis B Virus-Associated Hepatocyte Remodeling and Hepatocellular Carcinoma.Cancer informatics · 2025Review
- CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy.Insights into imaging · 2024Article
- Deceptive learning in histopathology.Histopathology · 2024Article
- Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer.Fundamental research · 2024Article
- Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer.bioRxiv : the preprint server for biology · 2024Article
- Artificial Intelligence Applications in Lymphoma Diagnosis and Management: Opportunities, Challenges, and Future Directions.Journal of multidisciplinary healthcare · 2024Review
- Artificial Intelligence Reveals Distinct Prognostic Subgroups of Muscle-Invasive Bladder Cancer on Histology Images.Cancers · 2023Article
- Spatial cellular architecture predicts prognosis in glioblastoma.Nature communications · 2023Article
- Artificial Intelligence in the Pathology of Gastric Cancer.Journal of gastric cancer · 2023Review
- Machine learning based combination of multi-omics data for subgroup identification in non-small cell lung cancer.Scientific reports · 2023Article
- Intelligent oncology: The convergence of artificial intelligence and oncology.Journal of the National Cancer Center · 2023Review
- Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancer.BMC cancer · 2022Article
- Advances in mass cytometry and its applicability to digital pathology in clinical-translational cancer research.Advances in laboratory medicine · 2022Review
- Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.BMC research notes · 2022Article
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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.