Preprint · CC-BY
via OpenAlex
TCP-BioSync: A Unified Framework for Continuous Quantification of Biological Age through Ontological Binding of Molecular Diagnostics and Digital Physiology
Zenodo (CERN European Organization for Nuclear Research) · 2026
Abstract
"Supplementary Material S1: Python reference implementation" Background. Human biological aging evolves continuously, yet its clinical measurement remains confined to discrete snapshots — annual diagnostics, occasional epigenetic clock(definition) assays — separated by months or years. This temporal granularity is incompatible with the emerging need to monitor the response to geroprotective interventions on a daily basis. Objective. To establish a unified mathematical and computational framework that binds clinical-grade molecular diagnostics with consumer-grade continuous physiological signals, producing a medically defensible, high-temporal-resolution estimate of biological age and its rate of change. Methods. We introduce TCP-BioSync, comprising (i) a three-axis data schema uniting six chronic-disease PCR markers, six reverse-aging PCR markers, and five continuous smartphone-derived physiological signals (remote photoplethysmography [rPPG], heart rate variability [HRV], inertial gait symmetry, sleep quality, activity); (ii) an ontological binding operator ⊗ that combines static molecular baselines with dynamic modulators under a monotonicity-preserving formalism; (iii) three synchronization engines yielding the Metabolic Energy Live Index (MELI), the Real-time Inflammaging(definition) Index (RIAI), and Live ΔmAge — a continuous extension of Horvath-type epigenetic clocks; and (iv) a SHA-256 hash-chain integrity layer (Trust Code Package, TCP) conferring medical-record–grade evidentiary weight on the resulting biomarker stream. Results. A reference Python implementation reproduces all four mathematical primitives. In a 60-sample synthetic simulation, the three engines exhibit stable numerical behaviour (E_live variance < 1.5 after exponential moving-average smoothing), correctly flag cardiovascular high-risk windows under transient LF/HF elevation, and accumulate sub-second ΔmAge updates at 10⁻⁶-year resolution. Hash-chain integrity was verified across 61 records. Conclusions. TCP-BioSync provides the first operationally defined framework under which intermittent molecular diagnostics and continuous digital physiology yield a single, legally admissible, time-resolved trajectory of biological age. The framework is designed to be falsifiable through a two-phase clinical programme and establishes a foundational platform for precision geroscience. Keywords reverse aging; epigenetic clock; digital biomarkers; remote photoplethysmography; heart rate variability; telomere(definition) attrition, cellular senescence(definition))." style="text-decoration:underline dotted; text-underline-offset:2px; cursor:help;">hallmarks of aging(definition); ontological binding; computational geroscience; Horvath clock; hash-chain integrity; precision medicine.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.5281/zenodo.19687894
- Canonical
- link ↗
- Fetched
- 2026-10-23 MST
Cite this
APA
Park, S.H. (2026). TCP-BioSync: A Unified Framework for Continuous Quantification of Biological Age through Ontological Binding of Molecular Diagnostics and Digital Physiology. <em>Zenodo (CERN European Organization for Nuclear Research)</em>. https://doi.org/10.5281/zenodo.19687894
Vancouver
Park SH. TCP-BioSync: A Unified Framework for Continuous Quantification of Biological Age through Ontological Binding of Molecular Diagnostics and Digital Physiology. Zenodo (CERN European Organization for Nuclear Research). 2026. doi:10.5281/zenodo.19687894.
BibTeX
@unpublished{sang2026TCPBio,
title = {TCP-BioSync: A Unified Framework for Continuous Quantification of Biological Age through Ontological Binding of Molecular Diagnostics and Digital Physiology},
author = {Sang hyun Park},
journal = {Zenodo (CERN European Organization for Nuclear Research)},
year = {2026},
doi = {10.5281/zenodo.19687894},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Zenodo (CERN European Organization for Nuclear Research) 2026
Preprint · CC-BY
Continuous Observability of Human Biological Age through Ontological Binding of Molecular Diagnostics and Digital Physiology
npj Aging 2026
Open access · CC-BY
Reproductive life events and biological aging in women over 50: evidence from DNA methylation clocks
Institutional Repositories DataBase (IRDB) 2025
Preprint · OA
Epigenetic Dynamics of Plant Aging: Nuclear Envelope Dysfunction and the Spatiotemporal Modulation of DNA Methylation in Arabidopsis
Genome biology 2022
Open access · CC-BY
Functional genomics analysis identifies T and NK cell activation as a driver of epigenetic clock progression
Arthritis Research & Therapy 2013
Open access · CC-BY
Transcriptomic signatures in cartilage ageing
2020
Citation only