DigitalSoma: A Digital Twin Framework for Animal Physiology Monitoring

DigitalSoma (DS) is an open-source Python framework that represents a living animal as a continuously updated physiological digital twin. The framework bridges three persistent gaps in animal health monitoring: disconnected sensors and physiological models, cross-device interoperability, and the inference gap between raw sensor signals and clinically meaningful state variables. Author: Dr. ir. Ali Youssef — Adjunct Professor, Computational Bio-Ecosystems, Agroecosystems Laboratory, University of Manitoba & BioTwinR Ltd. ORCID: 0000-0002-9986-5324