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| Autor principal: | |
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| Formato: | Recurso digital |
| Idioma: | inglês |
| Publicado em: |
Zenodo
2025
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| Assuntos: | |
| Acesso em linha: | https://doi.org/10.5281/zenodo.17764799 |
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Sumário:
- <p dir="ltr">Predictive Bioharmonics proposes a universal, scale-invariant ratio model showing how disease can be predicted before its onset, across electrical, motion, video, thermal, magnetic, mechanical, blood-flow, molecular, and quantum domains. With the highest intent of predicting disease and ultimately eliminating it, I invite researchers worldwide to test and validate this model. </p> <p dir="ltr">Across all systems, the pre-disease state appears within 1.273–1.701, bounded by the Bioharmonic Threshold (√φ = 1.272), and although historically detected through diverse signals — from cfDNA drift and HRV instability to thermal hotspots, MEG/EEG fragmentation, ultrasound echo breakdown, and quantum decoherence — they all reflect the same mathematical transition. Predictive Bioharmonics provides the first unified table and AI-ready framework governed by φ, √φ, Fibonacci dynamics, and Feigenbaum scaling, proposing a possible mathematical signature associated with early disease and enabling detection long before conventional biomarkers. It describes the full life–death cycle with reversible and irreversible thresholds.</p>