Shadow-Mode Field Governance

Know before the treatment state
drifts out of bounds

NT Health is a modality-agnostic software layer for monitoring simulated or telemetry-derived treatment-state signals, estimating drift and safety margins, and producing auditable review states without commanding devices or changing therapy parameters.

Simulation demo → Read the paper
Tissue-state signals
sensors
P_err(t)
risk index
κ drift
context drift
POSM
safety margin
Review state
no device command

Four capabilities. One layer.

Treatment-state risk index
P_err(t) = 1 − ∏ gᵢ(t)
Aggregates candidate delivery, safety, signal-quality, exposure, and context factors into a single simulation score — updated continuously.
Early drift detection
κ(t) drift estimator
Detects systematic changes in treatment-state trajectories before P_err crosses review thresholds — providing a measurable early-warning signal.
Shadow-mode safety margin
POSM · 3 review states
Nominal, review, and safety-hold states with configurable thresholds. The public demo emits review states, not autonomous therapy changes.
Modality-agnostic
Any physical field modality
Architecture is independent of the underlying physical modality. Applicable to alternating electric fields, focused ultrasound, implantable stimulation, and more.

Built for field-therapy research workflows

NT Health is a software governance layer designed to observe alongside physical field therapy platforms — not to replace, operate, or modify them.

Alternating electric field therapy Focused ultrasound Implantable stimulation devices Resection margin monitoring Adaptive neuromodulation Multi-electrode arrays

Read the public paper

The public technical framework — mathematical formulation, simulation methodology, and validation plan — is available as a discussion paper on SSRN.

SSRN · Abstract ID 6842106 → Simulation demo

CONTACT

contact@neurothrottle.com

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