Zenodo

Predictive Bioharmonics: A Proposed Architecture for Algorithmically Guided Biological Longevity and Life-Extension

Preprint: commentaryAI & data
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Abstract

This document outlines a hypothetical, future-oriented framework describing how Predictive Bioharmonics (PB) could be used as a computational stability layer to support extreme biological longevity. This is not a medical claim; instead, it establishes prior art for any future technologies that attempt to use drift detection, relational stability analysis, or algorithmic harmonization to preserve biological function across time. The framework rests on the insight that aging can be modeled as escalating dynamical drift within metabolic, genomic, epigenetic, immunological, and systemic regulation. PB—by design—detects micro-instability decades before physiological collapse. Future technologies could combine PB’s drift-analysis engine with biological or biomedical interventions to stabilize drift indefinitely, thereby enabling unprecedented life extension. This document ensures that all such future integrations remain open for the world and cannot be monopolized by later patents.

The paper

Creator of Predictive Bioharmonics

Zenodo, 10 Dec 2025, Open access, CC BY, Preprint, not peer-reviewed

doi.org/10.5281/zenodo.17873515