Publications
2026
Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicine
Gernot Pucher, Amin Dada, Aurel Agbodoyetin, Felix Nensa, Martin Schuler, Hans Christian Reinhardt, Jens Kleesiek, Christopher Sauer
Artificial Intelligence in Medicine
Large language models enable prognostic stratification of cancer patients using real-world clinical notes
Niklas Kiermeyer, Tim Lenfers, Amin Dada, Julian Friedrich, Sameh Khattab, Eric Knop, Jan Egger, Markus Pauly, Andreas Jung, Grégoire Montavon, Jens T. Siveke, Marcel Wiesweg, Stefan Kasper, Ulf Peter Neumann, Frederick Klauschen, Sylvia Hartmann, Martin Schuler, Philipp Keyl, Jens Kleesiek, Julius Keyl
PLOS Digital Health
Development and Clinical Validation of a Multimodal AI Framework to Predict Persistent Fever During Antibiotic Therapy in Hospitalized Patients with Cancer
Christopher Sauer, Gernot Pucher, Kevin Kopp, Aman Deep, Anna-Maria Stark, Marcel Wiesweg, Martin Schuler, Felix Nensa, Hans Christian Reinhardt, Jens Kleesiek
Research Square
Explainable AI Predicts Hematoxicity from Cancer Treatment Using Multimodal Real-World Data
Julius Keyl, Philipp Keyl, Tim Lenfers, René Hosch, Niklas Kiermeyer, Simon Schallenberg, Moon-Sung Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Fuehrer-Sakel, Sied Kebir, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Jan Egger, Sylvia Hartmann, Grégoire Montavon, Felix Nensa, Klaus-Robert Müller, Martin Schuler, Jens Kleesiek, Frederick Klauschen
medRxiv
Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models
Kamyar Arzideh, René Hosch, Amin Turki, Bahadir Eryilmaz, Mikel Bahn, Henning Schäfer, Ahmad Idrissi-Yaghir, Sameh Khattab, Amin Dada, Hideo A. Baba, Dirk Schadendorf, Martin Schuler, Jens Kleesiek, Sylvia Hartmann, Felix Nensa, Julius Keyl
JCO Clinical Cancer Informatics
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, 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
Clinical Cancer Research 2025
Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection
Johannes Vogelsang, Gernot Pucher, Fabian Hörst, René Hosch, Johannes Haubold, Philipp Keyl, Christopher Sauer, David Albers, Peter Markus, Jan P. Neuhaus, Andreas D. Rink, Jürgen Treckmann, Ulf Peter Neumann, Kai Nassenstein, Michael Forsting, Hideo A. Baba, Jan Egger, Stefan Kasper, Martin Schuler, Felix Nensa, Jens Kleesiek, Julius Keyl
Clinical Surgical Oncology
Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification
Katarzyna Borys, Johannes Haubold, Julius Keyl, Maria A. Bali, Riccardo De Angelis, Kévin Brou Boni, Nicolas Coquelet, Judith Kohnke, Giulia Baldini, Lennard Kroll, Sara Schramm, Andreas Stang, Eugen Malamutmann, Jens Kleesiek, Moon-Sung Kim, Stefan Kasper, Jens T. Siveke, Marcel Wiesweg, Anja Merkel-Jens, Benedikt Michael Schaarschmidt, Viktor Grünwald, Sebastian Bauer, Arzu Oezcelik, Servet Bölükbas, Ken Herrmann, Rainer Kimmig, Stephan Lang, Jürgen Treckmann, Martin Stuschke, Boris Hadaschik, Lale Umutlu, Michael Forsting, Dirk Schadendorf, Christoph M. Friedrich, Martin Schuler, René Hosch, Felix Nensa
npj Digital Medicine
Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data
Jonah Bosserhoff, Julius Keyl, Tim Lenfers, Dagmar Fuehrer-Sakel, Marc Wichert, Frederick Klauschen, Martin Schuler, Sylvia Hartmann, Philipp Keyl, Jens Kleesiek
medRxiv
Virtual reality support during systemic cancer therapy to improve anxiety/depressive symptoms and reduce toxicity in patients with gastrointestinal cancers—OncoVR
Stefan Kasper, S. Liszio, K. Schorrmann, M. Gerigk, S. Jovic, Oliver Basu, K. Kostbade, B. Goraus, Abdelrahman Elsakka, Behrus Puladi, Jens Kleesiek, Martin Schuler, Gijs Luijten, Jan Egger
ESMO Gastrointestinal Oncology
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Julius Keyl, Philipp Keyl, Grégoire Montavon, René Hosch, Alexander Brehmer, Liliana Mochmann, Philipp Jurmeister, Gabriel Dernbach, Moon-Sung Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Martin Glas, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Hideo A. Baba, Felix Nensa, Jan Egger, Klaus-Robert Müller, Martin Schuler, Frederick Klauschen, Jens Kleesiek
Nature Cancer
ABO-Blood Group Associates With Survival Outcomes in Patients With Metastatic Non-Small Cell Lung Cancer Treated With Pembrolizumab Monotherapy
Franziska Certa, Peter A. Horn, Julius Keyl, Bastian Mende, Smiths Lueong, Thomas Hilser, Sarah Theurer, Isabel Virchow, Yasmin Zaun, Michael Pogorzelski, Martin Metzenmacher, Halime Kalkavan, Stefan Kasper, Martin Schuler, Marcel Wiesweg, Gregor Zaun
Thoracic Cancer
Evaluating Zero-Shot Foundation Models for Time Series Forecasting in Clinical Settings: A Simulation Study with Electronic Health Records
Gernot Pucher, Amin Dada, Felix Nensa, Martin Schuler, Christian Reinhardt, Jens Kleesiek, Christopher Sauer
AI4TS: AI for Time Series Analysis 2024
Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study
Julius Keyl, Andreas Bucher, F. Jungmann, René Hosch, A. Ziller, R. Armbruster, P. Malkomes, T. M. Reissig, Sven Koitka, I. Tzianopoulos, Philipp Keyl, K. Kostbade, David Albers, Peter Markus, Jürgen Treckmann, Kai Nassenstein, Johannes Haubold, Marcus R. Makowski, Michael Forsting, Hideo A. Baba, Stefan Kasper, Jens T. Siveke, Felix Nensa, Martin Schuler, Georgios Kaissis, Jens Kleesiek, Rickmer Braren
ESMO Open 2023
1294 External validation of machine learning models to predict efficacy and toxicity of immune checkpoint inhibitors using real-world pan cancer cohorts
Zoltan Kiss, Levente Lippenszky, Balazs Laczi, Pablo Napan-Molina, Eszter Csernai, Alexander Brehmer, Moon-Sung Kim, Julius Keyl, Jens T. Siveke, Moritz Meyer, Viktor Grünwald, Stefan Kasper, Alexander Roesch, Martin Schuler, Travis Osterman, Jan Wolber, Jens Kleesiek
Journal for ImmunoTherapy of Cancer
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Julius Keyl, Philipp Keyl, Grégoire Montavon, René Hosch, Alexander Brehmer, Liliana Mochmann, Philipp Jurmeister, Gabriel Dernbach, Moon-Sung Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Fuehrer-Sakel, Martin Glas, Viktor Gruenwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Hideo A. Baba, Felix Nensa, Jan Egger, Klaus-Robert Mueller, Martin Schuler, Frederick Klauschen, Jens Kleesiek
medRxiv 2022
Deep learning-based assessment of body composition and liver tumor burden for survival modeling in advanced colorectal cancer
Julius Keyl, René Hosch, Aaron Berger, Oliver Ester, Tobias Greiner, Simon Bogner, Jürgen Treckmann, Saskia Ting, Brigitte Schuchmacher, David Albers, Peter Markus, Marcel Wiesweg, Michael Forsting, Felix Nensa, Martin Schuler, Stefan Kasper, Jens Kleesiek
Journal of Cachexia, Sarcopenia and Muscle
Multimodal survival prediction in advanced pancreatic cancer using machine learning
Julius Keyl, Stefan Kasper, Marcel Wiesweg, J. Götze, M. Schönrock, M. Sinn, Aaron Berger, Enrico Nasca, K. Kostbade, B. Schumacher, Peter Markus, David Albers, Jürgen Treckmann, K. W. Schmid, H. -U. Schildhaus, Jens T. Siveke, Martin Schuler, Jens Kleesiek
ESMO Open 
