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Dr. med. Philipp Keyl

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Institute of Pathology, Faculty of Medicine, LMU Munich, 80337 Munich, Germany

Dr. med. Philipp Keyl

Dr. med. Philipp Keyl

Julius Keyl, René Hosch, Fabian Hörst, Philipp Keyl, Amin Dada, Johannes Haubold, Jannis Straus, Jan Egger, Arndt Stahler, Annika Kurreck, Alexej Ballhausen, Sebastian Stintzing, Stefan Fruehauf, Lothar Müller, Annabel H. S. Alig, Tanja Trarbach, Sylvia Hartmann, Felix Nensa, Jens Kleesiek, Stefan Kasper, Martin Schuler, Dominik P. Modest

Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer

January 05, 2026
https://doi.org/10.1158/1078-0432.CCR-25-3080

Simon Schallenberg, Gabriel Dernbach, Sharon Ruane, Philipp Jurmeister, Cornelius Böhm, Kai Standvoss, Sandip Ghosh, Marco Frentsch, Mihnea P. Dragomir, Philipp G. Keyl, Corinna Friedrich, Il-Kang Na, Sabine Merkelbach-Bruse, Alexander Quaas, Nikolaj Frost, Kyrill Boschung, Winfried Randerath, Georg Schlachtenberger, Matthias Heldwein, Ulrich Keilholz, Khosro Hekmat, Jens-Carsten Rückert, Reinhard Büttner, Angela Vasaturo, David Horst, Lukas Ruff, Maximilian Alber, Klaus-Robert Müller, Frederick Klauschen

AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer

November 03, 2025
https://doi.org/10.1038/s41467-025-65783-z

Philipp Keyl, Julius Keyl, Andreas Mock, Gabriel Dernbach, Liliana H Mochmann, Niklas Kiermeyer, Philipp Jurmeister, Michael Bockmayr, Roland F Schwarz, Grégoire Montavon, Klaus-Robert Müller, Frederick Klauschen

Neural interaction explainable AI predicts drug response across cancers

September 03, 2025
https://doi.org/10.1093/narcan/zcaf029