Author

Dipayan Sengupta

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#artificial intelligence Jan 2026

How Clinicians Think and What AI Can Learn From It

It is argued that purposive clinical AI should use decision-sufficient abstraction: model detail should be conditioned by the objective structure of the decision and limited by the evidence available to support that detail, which should often be ordinal-first.

Dipayan Sengupta, Saumya Panda · arXiv.org · 1 citation

Aug 2026

Evidence-constrained mechanistic synthesis for drug discovery

Evidence-constrained mechanistic synthesis (ECMS), a framework that classifies what information each finding contains and converts only that information into restrictions on a family of mechanistic hypotheses, is developed for the pre-calibration stage of drug development.

Dipayan Sengupta, Saumya Panda · bioRxiv · 0 citations