Collaborate With Us
The BRUT framework opens new research directions and commercial opportunities. We are seeking academic collaborators, clinical partners, and strategic investors.
For Researchers
Open problems and collaboration opportunities across multiple disciplines.
Clinical Cardiology
Validate the cardiac regime classification framework against prospective clinical data. The CHF paradox (Theorem 11) predicts two distinct failure modes distinguishable by (R_c, S_e) coordinates.
Computational Neuroscience
Test the cardiac-neural coupling law and consciousness window formula with paired EEG + ECG recordings. The framework predicts specific R_n/R_c ratios per cognitive state.
Exercise & Altitude Physiology
Validate the O2-partition coupling constant and altitude degradation curves. The framework predicts specific R_n degradation profiles as a function of arterial PaO2.
Wearable Sensor Engineering
Implement and validate the novel composite metrics (PCHR, TCC, CSCI) on commercial wearable platforms. The sensor disambiguation framework transforms single-sensor readings into multi-dimensional state estimates.
Mathematical Physics
Extend the partition formalism to new domains. The C(n) = 2n² axiom may apply beyond physiology — any bounded system with hierarchical state space structure.
Metabolic & Endocrine Systems
Apply the partition framework to glucose regulation, hormonal cycling, and metabolic syndrome. The S-entropy coordinates should capture metabolic health as a trajectory in (S_k, S_t, S_e) space.
For Investors
The sensor disambiguation IP transforms commodity wearable hardware into clinically meaningful diagnostic tools.
Partition-Coupled Heart Rate (PCHR)
Patent-ReadyDecomposes observed HR into intrinsic, metabolic, and autonomic components using partition equations. Same sensor hardware, fundamentally richer clinical information. HR=90 bpm becomes actionable: exercise recovery vs fever vs anxiety vs altitude.
S-Entropy Health Coordinates
Patent-ReadyMaps multi-sensor wearable data into a 3D health state (S_k, S_t, S_e). Replaces 15+ disconnected metrics with a single navigable coordinate system. Enables trajectory-based health monitoring: not where you are, but where you're heading.
Temperature-Corrected Coherence (TCC)
ValidatedRemoves metabolic bias from cardiac coherence estimates using Arrhenius correction with skin temperature. Reduces longitudinal tracking noise by 12%, improving trend detection for chronic disease monitoring.
Cross-Scale Coherence Index (CSCI)
ValidatedDetects inter-system decoupling from wrist sensors alone. First demonstration that REM cardiac-neural decoupling is detectable without EEG. Opens sleep staging and neurological screening from a wristband.
Commercialisation Roadmap
Academic Validation
Complete peer-reviewed publication of all four papers. Prospective clinical validation of regime classification and coupling formula with hospital partners. Target: 3 independent replication studies.
IP Protection & Licensing
Patent filing for PCHR, CSCI, and S-entropy coordinate mapping algorithms. Provisional patents on sensor disambiguation methods. Establish licensing framework for wearable OEMs.
SDK & Platform Development
Build a real-time SDK implementing R_c estimation, PCHR decomposition, and CSCI computation. Target integration with Apple HealthKit, Google Health Connect, and Oura API.
Clinical Product
Partner with a wearable manufacturer to launch the first partition-aware health monitoring product. Regulatory pathway: FDA 510(k) for cardiac coherence monitoring, CE marking for EU market.
Get in Touch
Whether you are a researcher interested in collaboration, a clinician with relevant datasets, or an investor exploring health technology opportunities, we would like to hear from you.