Digital twinInternational
Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin
Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin Engineering.com
APOD: Agentic Population ODE Discovery for Pharmacological Digital Twins
APOD is a language-model agent that iteratively reasons over biological knowledge and fit diagnostics in an open-ended search space to discover a population digital twin, a shared ODE system with between-subject variability. On synthetic pharmacokinetic and tumor-dynamics benchmarks it recovered ground-truth structures in 94-100% of runs, 12-fold faster in median than a library-based search.
Why it matters
Automating model-structure identification from noisy data matters for building digital twins in any domain.
Relevant to DT products
- Original headline
- APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins
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