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Patrick Wienholt

2 papers indexed

arxivq-bio.GNcs.AI2026-07-22

Foundation-model-guided radiogenomic discovery linking cancer genomes to cancer scans

Frederik Hauke, Jeremias Krause, Patrick Wienholt, Christiane Kuhl, Ingo Kurth, Sikander Hayat, et al.

The function of many genes is still unknown, and conventional driver-discovery methods, which rely on how frequently a gene is mutated, cannot assess genes that are only rarely affected. Here we pair Evo~2-based genome analysis with routine clinical imaging to identify gene--phen…

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arxivcs.LGcs.AIcs.MA2026-07-22

Bayesian uncertainty estimation improves clinical decision making in medical AI agents

Frederik Hauke, Patrick Wienholt, Christiane Kuhl, Dyke Ferber, Jakob Nikolas Kather, Sven Nebelung, et al.

Machine learning models for medical image analysis typically lack a reliable measure of confidence, limiting their use in ambiguous or atypical cases. Here we show that Monte Carlo dropout, applied to a multi-task chest-radiograph classifier (eight thoracic findings, 137,593 trai…

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