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yoonalimsuwan/EVOLUTION-ONE: EVOLUTION ONE : Standalone Multi‑Level Cancer Evolution Engine And High-Performance Epidemiological Forecasting & Viral Evolution Engine

Authors: Yoon A Limsuwan;

yoonalimsuwan/EVOLUTION-ONE: EVOLUTION ONE : Standalone Multi‑Level Cancer Evolution Engine And High-Performance Epidemiological Forecasting & Viral Evolution Engine

Abstract

Evolution ONE is a standalone, vendor‑neutral platform that models cancer progression through the lens of Self‑Organised Criticality (SOC), duon biology, and physics‑based structural refinement. It ingests genomic mutation data (MAF, VCF) and outputs a complete oncological profile: the evolutionary regime of the tumour (stable, critical, or collapsing), future escape mutations likely to destabilise key proteins, CRISPR‑Cas editing designs with scored gRNA and off‑target search, epigenetic targets for methylation editing, personalised drug and stabiliser recommendations, correlations between lifestyle factors and mutation load. The engine can operate entirely on its own, or optionally leverage REAL FOLD ONE and REAL FOLD ONE HT for atomic‑resolution ΔΔG calculation and high‑throughput mutation scanning. EVOLUTION ONE is a high-performance, fully differentiable translational medicine platform modified for predictive epidemiology and viral evolutionary dynamics. By pivoting its core mathematical architecture from oncological mutation modeling to viral pathogen tracking, the engine bypasses traditional probabilistic frameworks in favor of a deterministic, sub-quantum variable approach. Powered by Structural Calculus and multi-scale physics engines, EVOLUTION ONE models the transition of infectious diseases from localized outbreaks to global pandemics as structural phase transitions, while simultaneously forecasting viral antigenic drift and immune escape vectors before they manifest in the wild.

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