Philipp Keyl
6PUBLICATIONS
43CO-AUTHORS
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Publications (6)
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|Jan 05, 2026
Deep Learning-Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer.Julius Keyl, René Hosch, Fabian Hörst
|Nov 03, 2025
AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer.Simon Schallenberg, Gabriel Dernbach, Sharon Ruane
|Sep 08, 2025
Neural interaction explainable AI predicts drug response across cancers.Philipp Keyl, Julius Keyl, Andreas Mock
|Jan 30, 2025
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence.Julius Keyl, Philipp Keyl, Grégoire Montavon
|Jan 11, 2023
Single-cell gene regulatory network prediction by explainable AI.Philipp Keyl, Philip Bischoff, Gabriel Dernbach
|Jun 07, 2022
Patient-level proteomic network prediction by explainable artificial intelligence.Philipp Keyl, Michael Bockmayr, Daniel Heim
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Frequent Collaborators
5 joint publications
Klaus-Robert Müller
3 joint publications
Julius Keyl
3 joint publications
Frederick Klauschen
2 joint publications
Martin Schuler
2 joint publications
Jens Kleesiek
2 joint publications
Grégoire Montavon
2 joint publications
Michael Bockmayr
1 joint publications
Cornelius Böhm
1 joint publications
Dominik P Modest
1 joint publications
Corinna Friedrich
