Biomarker Convergence Framework: Simulation Code and Figures for Neurodegenerative Disease Detection
Year: 2026
Type: software
Abstract: Biomarker Convergence Framework provides the complete computational simulation framework supporting the manuscript "Biomarker Convergence in Neurodegenerative Disease Detection". This repository introduces the Biomarker Convergence Paradigm and the Biomarker Convergence Index (BCI), a computational framework that models neurodegenerative disease progression as the progressive convergence of multiple biological modalities rather than isolated biomarker threshold crossing. The repository includes: • Python simulation framework implementing the Biomarker Convergence Paradigm • Biomarker Convergence Index (BCI) computation • Bayesian sequential enrichment simulations • Monte Carlo trial enrichment framework • Multi-modal machine learning models for Huntington's disease (HD) and Progressive Supranuclear Palsy (PSP) • Publication figures used in the accompanying manuscript The simulations are conceptual and calibrated using published benchmark values reported in the literature. No patient-level data are included. Repository contents: Biomarker_Convergence_Framework.py Figures.pdf README.md requirements.txt LICENSE This repository accompanies the manuscript "Biomarker Convergence in Neurodegenerative Disease Detection" and provides the computational framework, source code, and publication figures supporting the study.
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7166321621