TumorResistanceOS v1.4: Production-Ready Multiscale Simulation Engine for Hysteresis-Driven Resistance Dynamics in the Tumor Microenvironment
Year: 2026
Type: preprint
Abstract: TumorResistanceOS v1.4 is a production‑grade multiscale simulation engine modeling the emergence, stabilization, and collapse of maximal drug resistance in the tumor microenvironment (TME). The engine integrates: Continuous PDE fields for oxygen diffusion and ECM stiffness Discrete intracellular signaling dynamics (NF‑κB, Akt) Hill‑function nonlinearities for mechanotransduction, vascular suppression, metabolic oxygen consumption, and hypoxic response Event‑triggered hysteresis‑aware control logic enabling sequential therapeutic strategies This release includes a camera‑ready Python implementation, comparative simulation outputs, and figure assets suitable for academic publication, preprint deposition, and reproducible research workflows.Developed using the OAOL (O'Valley AI Orchestration Lab) framework, an AI-orchestrated research workflow for computational science and systems architecture.
Author: Marutani, Yuji
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7171556867
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