Philipp Keyl

Humboldt-Universität zu Berlin — Germany

Medicine · Health Sciences

5h-index308citations14works4.12yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(7), AI in cancer detection(5), Computational Drug Discovery Methods(2), Colorectal Cancer Screening and Detection(2), Artificial Intelligence in Healthcare and Education(2)

Publications14 total

Deep Learning–Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer
Clinical Cancer Research·2026
Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection
Clinical Surgical Oncology·2025Open Access
AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer
Nature Communications·2025· 3 citedOpen Access
Large Language Models Improve Cancer Survival Prediction Using Real-World Clinical Notes
2025Open Access
Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data
2025Open Access
Neural interaction explainable AI predicts drug response across cancers
NAR Cancer·2025· 2 citedOpen Access
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Nature Cancer·2025· 32 citedOpen Access
Erklärbare Künstliche Intelligenz in der Pathologie
Forum·2024
Erklärbare Künstliche Intelligenz in der Pathologie
Die Pathologie·2024
Toward Explainable Artificial Intelligence for Precision Pathology
Annual Review of Pathology Mechanisms of Disease·2023· 103 citedOpen Access
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
2023· 1 citedOpen Access
Single-cell gene regulatory network prediction by explainable AI
Nucleic Acids Research·2023· 56 citedOpen Access
DNA methylation-based classification of sinonasal tumors
Nature Communications·2022· 81 citedOpen Access
Patient-level proteomic network prediction by explainable artificial intelligence
npj Precision Oncology·2022· 30 citedOpen Access

Frequent Co-authors

Frederick Klauschen(12), Grégoire Montavon(9), Philipp Jurmeister(8), Michael Bockmayr(7), Klaus‐Robert Müller(7), Julius Keyl(7), Gabriel Dernbach(6), Jens Kleesiek(6), Martin Schüler(5), Andreas Möck(4), Lukas Ruff(4), Liliana H. Mochmann(4), René Hosch(4), Stefan Kasper(4), Jan Egger(4), Jonas Dippel(3), Oliver Buchstab(3), Maximilian Alber(3), Michael Forsting(3), Johannes Haubold(3)