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Published June 4, 2026 | Version v1

EndoDecay-Sim v7.1: Core Computational Architecture and In-Silico Pilot Dataset

Authors/Creators

  • 1. Independent Researcher

Description

This repository contains the core algorithmic engine and the 10,000-patient computational pilot dataset for EndoDecay-Sim v7.1. The platform utilizes multivariate normal distributions to generate reliable synthetic cohorts (integrating Age, HbA1c, eGFR, and NT-proBNP) and evaluates diabetic vascular degradation through non-linear Gompertz differential kinetics. Independent t-test validation confirmed a statistically significant endothelial retention advantage (T-statistic: 173.0961, p < 0.01) for the theoretical hybrid therapeutic group over placebo. Released under open-science principles for non-commercial academic replication.

Files

EndoDecay_Sim_v71_Pilot_Data.csv

Files (847.5 kB)

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md5:c1f859f065dcfa4989db7a9071f80263
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Additional details

Software

Programming language
Python