q-bio.QM · 2026-10-06 · No. 135

Quantitative Methods, 2026-10-06.

1 new papers in q-bio.QM. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins

    Romain Ferrara, Martin Soucail, Victor Gertner, Adil Moussali, Joris Cocquebert, Sandrine Oziel-Taieb, Julien...

    q-bio.QM · cs.AI · cs.LG · stat.AP

    Establishing ordinary differential equations (ODEs) describing population data is a fundamental part of mathematical modeling in pharmacology, crucial to developing digital twins. However, doing so from sparse, noisy data is a slow, expert-driven task. Existing automated methods either search a restricted model space or ignore population inter-individual variability. Here we introduce APOD (Agentic Population ODE Discovery), a language-model...

    arxiv.org/abs/2610.06227 · PDF

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