APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins
q-bio.QM, cs.AI, cs.LG, stat.AP
Submitted: 2026-10-05
Updated: 2026-10-05
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
- LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Related papers
- A likelihood-based framework for simultaneously learning both noise and growth dynamics using biologically-informed neural networks
- Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
- Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics
- Resolving satellite-in situ mismatches in Net Primary Production using high-frequency in situ bio-optical observations in the subpolar Northwest Atlantic
- easyplater: The easy way to generate microplate designs deconvolved from multivariate clinical data
- Essential Workers at Risk: An Agent-Based Model (SAFE-ABM) with Bayesian Uncertainty Quantification