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Philipp Keyl

6PUBLICATIONS
43CO-AUTHORS
Predictive and prognostic markersMolecular targets
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Journal

Publications (6)

Sort by Publication Date:
|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

Frequent Collaborators

5 joint publications

Klaus-Robert Müller

3 joint publications

Julius Keyl

3 joint publications

Frederick Klauschen

2 joint publications

Martin Schuler

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