Morphological and molecular breast cancer profiling through explainable machine learning
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Other efforts have used AI on H&E images to predict TIL presence and PD-L1 expression status in breast cancer.
“Other efforts have used AI on H&E images to directly predict TIL presence (85,86), a notable prognostic and predictive biomarker in breast cancer, and programmed cell death ligand 1 (PD-L1) expression status, a predictive biomarker for immunotherapies (87).”
From Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions (2024) · cites this paper as [86]
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BackgroundArtificial intelligence for multimodal data integration in oncology
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- Authors
- Binder, A., Bockmayr, M., Hägele, M., Wienert, S., Heim, D., Hellweg, K., Ishii, M., Stenzinger, A., Hocke, A., Denkert, C., Müller, K.-R., & Klauschen, F.
- Affiliations
- Singapore University of Technology and Design (SG)
- University Medical Center Hamburg-Eppendorf (DE)
- Technische Universität Berlin (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- The University of Osaka (JP)
- Heidelberg University (DE)
- Philipps University of Marburg (DE)
- Korea University (KR)
- Corresponding author
- Müller, Klaus-Robert
- Klauschen, Frederick
- ORCID
- Venue
- Nature Machine Intelligence
- Published
- 2021-03-08
- Volume
- 3
- Issue
- 4
- Pages
- 355-366
- ISSN
- 2522-5839 (ISSN-L)
- OpenAlex
- W3135345798
- Cited by
- 156
- References
- 40
- Citations by year
- 2026: 13 · 2025: 31 · 2024: 32 · 2023: 31 · 2022: 28 · 2021: 21
- FWCI
- 9.90
- Type
- journal article
- Language
- en
- Open access
- green
- urn.nb.no
- Licence
- Locations
- Nature Machine Intelligence (publishedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- breast cancer, histopathology, cancer cell detection, tumor-infiltrating lymphocytes, DNA methylation prediction, gene expression prediction, copy number variation, somatic mutations, protein expression prediction, explainable AI, precision medicine, cancer diagnosis
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