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Author

Fabian Fröhlich

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Open access Sep 2026

GEMOT: Towards Mechanistic World Models for Biology

Scientific discovery seeks mechanisms that explain observations and predict beyond the measurements that produced them. Whereas large language models (LLMs) encode knowledge implicitly, mechanistic world models organise it as a parsimonious set of explicit, modular, reusable mechanisms whose predictions can be scored a...

Theodore de Pomereu, B. Snelling, Fabian Fröhlich · 0 citations
Open access Aug 2026

Symbolic regression enables coarse-grained model discovery of intracellular signalling dynamics

From single-cell measurements of a growth-signalling pathway across dozens of cancer-relevant perturbations, symbolic regression is shown to recover compact models in many of them, some reproducing known regulatory biology and others proposing novel, testable hypotheses.

Theodore de Pomereu, Fabian Fröhlich · 0 citations

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