Bernhard Y Renard

24PUBLICATIONS
139CO-AUTHORS
Adversarial machine learningData mining and knowledge discoveryBiological network analysisProteomics and metabolomicsNatural language processing
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Publications (24)

|Sep 24, 2026
Leveraging uncertainty estimates for drug response prediction in cancer cell lines.

|Aug 24, 2026
usiGrabber: automating the curation of proteomics spectra data at scale, making large datasets ready for use in machine learning systems.

|Aug 24, 2026
BaGGLS: a Bayesian shrinkage framework for interpretable modeling of interactions in high-dimensional biological data.

|Jul 07, 2026
Foundation model enables interpretable open and error-tolerant searching for mass spectrometry-based proteomics.

|Jan 13, 2026
Automating clinical phenotyping using natural language processing.

Linea Schmidt, Susanne Ibing, Florian Borchert

|Nov 21, 2025
The AIR·MS data platform for artificial intelligence in healthcare.

Pablo Guerrero, Morten Ernebjerg, Thomas Holst

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Frequent Collaborators

4 joint publications

Thilo Muth

3 joint publications

Jakub M Bartoszewicz

3 joint publications

Linea Schmidt

3 joint publications

Vitor C Piro