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S. Bukhari

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Preprint Jul 2026

CalTwin: Towards Calibrated, Shift-Robust Medical World Models via Fisher-Information Regularisation

The combined objective is derived, which proof steps transfer from the classification setting without modification and which require adaptation, and which require adaptation on the PhysioNet 2019 Sepsis Challenge, treating the two hospital systems as sequential training fragments and the unseen system as an out-of-distribution test.

Behraj Khan, Shabir Ahmad, S. Bukhari et al. · 1 citation