Author

L. Kohleick

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Open access Jul 2026

Genetic decoding reveals druggable biology implicitly learned by a medical-history foundation model

It is shown that human genetics provides an orthogonal layer to surface implicitly learned biological concepts and otherwise hidden risk factors to train the next generation of EHR-based foundation models that likely benefit most from the addition of targeted biomarkers to advance personalised medicine.

M. Pietzner, W. Zeng, L. Kohleick et al. · medRxiv · 0 citations

Open access Jul 2026

An interpretable omnigenic neural network architecture for the human genome

Genetic prediction of complex phenotypes typically relies on additive linear models, which scale well but cannot capture non-additive effects or deeply integrate molecular and clinical data. Domain-specific neural networks have driven advances in images, text, and other modalities, but genome-scale neural networks rema...

J. Upmeier zu Belzen, L. Arnoldt, N. Hollmann et al. · medRxiv · 0 citations

Open access Jul 2026

Nanoparticle-enriched mass spectrometry proteomics in British South Asians identifies links between genetic variants, plasma protein levels and disease risk

It is demonstrated how untargeted nanoparticle-enriched mass spectrometry (MS)-based plasma proteomics delivers quantitatively and qualitatively different insights compared to two affinity-based assays in a sample of ~1,400 British South Asian individuals.

M. Pietzner, A. Williamson, K. Hunt et al. · Nature Genetics · 2 citations