Research map: Deep learning in cancer genomics and histopathology

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Papers in this map

  1. Deep learning · Yann LeCun · 2015 · 85121 citations · Cited by this paper
  2. A guide to artificial intelligence for cancer researchers · Raquel Pérez-López · 2024 · 208 citations · Cites this paper
  3. Development and internal evaluation of a clinical prediction model for blood lead re-elevation in lead poisoning patients: a retrospective cohort study · Jia Wu · 2026 · Related
  4. Highly accurate protein structure prediction with AlphaFold · John Jumper · 2021 · 47614 citations · Cited by this paper
  5. Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis · Bitao Jiang · 2024 · 141 citations · Cites this paper
  6. Decoding the complexity of intestinal immunity with spatial transcriptomics · 2026 · Related
  7. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale · Alexey Dosovitskiy · 2020 · 22039 citations · Cited by this paper
  8. Multimodal deep learning approaches for precision oncology: a comprehensive review · Huan Yang · 2024 · 109 citations · Cites this paper
  9. Transcriptome signatures for the identification of bevacizumab responders in ovarian cancer · 2026 · Related
  10. "Why Should I Trust You?" · Marco Túlio Ribeiro · 2016 · 16548 citations · Cited by this paper
  11. Integrating Artificial Intelligence in Next-Generation Sequencing: Advances, Challenges, and Future Directions · Konstantina Athanasopoulou · 2025 · 64 citations · Cites this paper
  12. Circulating tumor DNA precision oncology enables effective and sensitive molecular diagnostics and actionable target detection in pediatric solid tumors - the INFORM experience · 2026 · Related
  13. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary · David N. Louis · 2016 · 16167 citations · Cited by this paper
  14. Artificial intelligence-based biomarkers for treatment decisions in oncology · Marta Ligero · 2025 · 60 citations · Cites this paper
  15. Integrative stratification of response to immunotherapy using host and microbial signatures in patients with advanced non-small cell lung cancer · 2026 · Related
  16. Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome · Jérôme Galon · 2006 · 6644 citations · Cited by this paper
  17. Advancing AI for multi-omics and clinical data integration in basic and translational cancer research · Fei Liu · 2026 · 28 citations · Cites this paper
  18. Cell type-specific contextualisation of the human phenome: towards the systematic treatment of all rare diseases · 2026 · Related
  19. The consensus molecular subtypes of colorectal cancer · Justin Guinney · 2015 · 5424 citations · Cited by this paper
  20. Bridging the Divide: A Review on the Implementation of Personalized Cancer Medicine · Michele Masucci · 2024 · 27 citations · Cites this paper
  21. The Use of Artificial Intelligence in Cancer Diagnosis · 2026 · Related
  22. The repertoire of mutational signatures in human cancer · Ludmil B. Alexandrov · 2020 · 3858 citations · Cited by this paper
  23. From Genomics to AI: Revolutionizing Precision Medicine in Oncology · Giulia Calvino · 2025 · 26 citations · Cites this paper
  24. Integrative Deep Learning from H&E Images Reveals Prognostically Distinct Pathology-Based Subtypes in Bladder Cancer · 2025 · Related
  25. International evaluation of an AI system for breast cancer screening · Scott Mayer McKinney · 2020 · 3316 citations · Cited by this paper
  26. AI-guided biomaterials and biofabrication strategies for enhanced tumor extracellular matrix mimicry · Jin Yan · 2025 · 22 citations · Cites this paper
  27. Clinicogenomic Real-World Data Enable Prediction of Hospital Readmissions at a Comprehensive Cancer Center · 2026 · Related
  28. Key challenges for delivering clinical impact with artificial intelligence · Christopher J. Kelly · 2019 · 3052 citations · Cited by this paper
  29. Virtual histopathology methods in medical imaging - a systematic review · Muhammad Talha Imran · 2024 · 21 citations · Cites this paper
  30. Transforming Gynecologic Cancer Care Through Artificial Intelligence · 2025 · Related
  31. Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning · Nicolas Coudray · 2018 · 3016 citations · Cited by this paper
  32. Review: Cancer and neurodevelopmental disorders: multi-scale reasoning and computational guide · Ruth Nussinov · 2024 · 16 citations · Cites this paper
  33. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images · Gabriele S. V. Campanella · 2019 · 2867 citations · Cited by this paper
  34. Emerging biomarkers in melanoma: Bridging molecular discovery and precision oncology · Suling Xu · 2026 · 16 citations · Cites this paper
  35. Data-efficient and weakly supervised computational pathology on whole-slide images · Ming Y. Lu · 2021 · 2284 citations · Cited by this paper
  36. Unraveling the hidden complexity of cancer through long-read sequencing · Qiuhui Li · 2025 · 14 citations · Cites this paper
  37. Foundation models for generalist medical artificial intelligence · Michael Moor · 2023 · 1947 citations · Cited by this paper
  38. Accelerating biomedical discoveries in brain health through transformative neuropathology of aging and neurodegeneration · Melissa Erin Murray · 2025 · 14 citations · Cites this paper
  39. Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology · Kaustav Bera · 2019 · 1732 citations · Cited by this paper

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