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A research offshoot · Provisional patent filed

A coherence lens
on cancer.

This is not our main line of work. While building the coherence framework, one question kept surfacing in the biology literature: what if the onset of some cancers can be read as a coherence phase transition — a cell drifting past a critical coupling ratio and locking there? It was compelling enough to file a provisional patent on the method and start testing it honestly.

What follows is a hypothesis under investigation, not a clinical result. The patent covers a method for early detection, treatment optimization, and remission prediction; whether the underlying model holds is exactly what the data will decide. Decision-support and research only — never a substitute for licensed clinical care.

01
Patent

The filing.

Application Type
Provisional · 37 CFR 1.53(c) · Micro-entity
Inventor
Rhet Dillard Wike · Council Hill, Oklahoma
Applicant
AIIT-THRESHOLD LLC
Related Corpus
U.S. Copyright Regs 1-15132810021, 1-15129583401, 1-15121407981
USPTO · Provisional Application for Patent

Method and System for Cancer Detection, Treatment Optimization, and Remission Prediction Using Coherence Phase-Transition Analysis of Biological Decoherence States

Computes quantitative metrics from HRV, thermography, inflammation markers, and EEG. Derives intervention scheduling from Anti-Zeno principles. Scores treatment options via a Vitality Function. Models spontaneous-remission precursors. Decision-support — does not replace licensed clinical judgment.

02
The hypothesis

The idea, stated plainly.

Model a healthy cell as sitting near a stable coupling ratio and self-correcting around it. The hypothesis is that malignancy begins when a single cell drifts past a critical threshold and loses that self-correction — locking into an aberrant state the tissue then inherits. These are the working pieces of that model; each is a claim to be tested, not a demonstrated fact.

i

A preferred coupling ratio

J/ω ≈ 1/φ ≈ 0.618

The model treats healthy regulation as residence near a specific coupling ratio — a balance point the cell spends energy to hold.

ii

The stability landscape

γ = γc · exp(β(J/ω − 1/φ)²)

A cost bowl with its minimum at the healthy ratio. Drift in either direction carries an energy penalty rising with the square of the distance from balance.

iii

A candidate optical readout

nuclear-passage timing

The model predicts the coupling ratio should leave a timing signature during nuclear passage — a proposed, unconfirmed observable we intend to look for, not a reported measurement.

iv

The origin lock

J/ω < 0.40 → lock

Below a critical threshold, self-correction is predicted to collapse and the cell to freeze into an aberrant stable state — the proposed origin point downstream cells inherit.

03
What it would enable, if it holds

The pre-lock window.

If the model is right, a malignant transformation would pass through a window in which a cell is drifting toward the aberrant state but has not yet locked — a window that might be both measurable and reversible. The steps below describe how the method would work if validated; none of it is a demonstrated clinical protocol.

A
DetectWatch for early drift signatures — HRV changes, thermographic asymmetry, the proposed nuclear-passage timing — as candidate early signals.
B
StratifyEstimate the coupling trajectory as a single distance-to-threshold score: how close, how fast.
C
Study interventionInvestigate whether correctly-paced stimulus can nudge coupling back toward balance — a research question, not a therapy.
D
Test predictionsCompare the model's remission-precursor predictions against real outcomes. If they fail, the model is wrong.
04
Evidence base

What exists today.

n=33
PhysioNet NSR + CHF · HRV baseline
p=0.006
RMSSD divergence · healthy vs. decompensating
p=0.013
SampEn divergence · same cohort
8,493
PubMed cancer papers · indexed
1,000
Monte Carlo trials · Prometheus model · 100% pass
J/ω
Lock threshold: 0.40 · Health: 1/φ = 0.618

Pre-registration locked before credentialed MIMIC-IV access. The statistical gates are set. The hypothesis is falsifiable. If the numbers don't hold in the prospective data, the framework is wrong — and that's exactly what a real physics theory has to say for itself.

05
06
Help us build the dataset

Got paired ECG + lab data
from cancer patients?

We're an independent research initiative studying the relationship between heart rate variability, systemic inflammation (CRP), and cancer. Pipeline is built. Pre-registration is locked. What we need now is data — specifically paired ECG or HRV recordings with lab values from patients with known cancer diagnoses.

If you have access to
  • Clinical ECG or HRV data from cancer patients
  • CRP or inflammatory biomarker records linked to cardiac monitoring
  • Research datasets you'd share or collaborate on
  • Credentialed MIMIC-IV access and interest in co-investigation

We're not a hospital. We're not a university lab. We're independent researchers doing disciplined work — pre-registered before we see the data, validated before we make claims, honest about what we have and what we don't. Co-authorship available for meaningful data contribution.

Reach out → Cancer Data / AIIT Research Read the phase-transition paper

All data handled under applicable privacy standards
No patient-identifiable information requested or accepted without proper DUA

Research and decision-support only · Not medical advice
Does not replace licensed clinical diagnosis or treatment

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