Julius Keyl

8PUBLICATIONS
68CO-AUTHORS
Haematological tumoursContext learningImage processingPredictive and prognostic markersMolecular targets
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Publications (8)

|Sep 11, 2026
Transplantation Strategies in Treatment of Primary Plasma Cell Leukemia in Germany-A Multi-Center Analysis.

|Jul 08, 2026
Large language models enable prognostic stratification of cancer patients using real-world clinical notes.

|Mar 11, 2026
Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models.

Kamyar Arzideh, René Hosch, Amin Turki

|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

|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

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Frequent Collaborators

3 joint publications

Jens Kleesiek

3 joint publications

Philipp Keyl

3 joint publications

Martin Schuler

3 joint publications

Felix Nensa