Julius Keyl

7PUBLICATIONS

57CO-AUTHORS

Context learningImage processingPredictive and prognostic markersMolecular targetsQuery processing and optimisation

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Publications (7)

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|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

|Sep 06, 2024

Establishing Medical Intelligence-Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study.

Alexander Brehmer, Christopher Martin Sauer, Jayson Salazar Rodríguez

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Frequent Collaborators

Philipp Keyl

Martin Schuler

Jens Kleesiek

Felix Nensa

Grégoire Montavon

Moon Kim

Klaus-Robert Müller

Jens T Siveke

Dirk Schadendorf

Jan Egger

Frequent Collaborators

Philipp Keyl

Martin Schuler

Jens Kleesiek

Felix Nensa