Virtual Neuromodulation Clinic

Elevate your mind.

NeuroFract supports people having neuromodulation: treatments that use gentle electrical or magnetic pulses to settle overactive brain circuits. Answer a few short questions each week, and your clinical team can see how you are really doing between appointments.

85%
Dropout prediction accuracy (LAEP · Romoli 2018)
3×
Validated instruments per patient session
5 min
Average patient check-in time
30 sec
Clinician time from login to decision
Who it's built for
Three portals.
One closed loop.
A single platform connecting patients, clinicians, and researchers, each with a purpose-built experience.

For patients

Track your recovery week by week. Answer 3 validated assessments in under 5 minutes. See your progress without clinical jargon, just a gentle, honest picture of how you're doing.

Patient portal →

For clinicians

30 seconds from login to clinical decision. Patients sorted by risk. Five pattern-recognition algorithms running in the background, LAEP trajectory, SSQ divergence, QOLIE cognitive decline, and more.

Clinician portal →

For researchers

Publication-ready data from day one. Anonymised cohort explorer, 3-format CSV export, and an auto-generated methods paragraph you can paste directly into your manuscript.

Researcher portal →
The clinical pathway
Assess. Monitor.
Adapt. Repeat.
A closed-loop system that learns from every check-in and surfaces only what clinicians need to act on.
1

Patient intake

Secure registration, therapy type, and baseline assessment across LAEP, SSQ, and QOLIE-31.

2

Weekly check-in

Five minutes, one question at a time. Validated instruments, zero clinical jargon, mobile-first.

3

Pattern recognition

Five algorithms run silently, detecting trajectory shifts before they become clinical events.

4

Clinician alert

Triage-sorted dashboard. Red flags surface first. Care plan suggestions in one click.

Evidence Base
Peer-reviewed,
throughout.
Every NeuroFract threshold and algorithm is traceable to a published, peer-reviewed source.

LAEP · Romoli 2018

Liverpool Adverse Events Profile. 19-item validated scale, threshold 36.5, predicts AED dropout with 85% accuracy.

SSQ · Cramer 2002

Seizure Severity Questionnaire. 24-item, 7-point scale. Mean score 1.0–7.0. Detects seizure burden week-over-week.

QOLIE-31 · Cramer 1998

Quality of Life in Epilepsy. 31 items, 7 subscales. Score 0–100 (higher is better). RAND public domain instrument.

Trajectory Analysis

Linear regression on the last 4 LAEP scores. Projects when the discontinuation threshold of 36.5 would be reached at the current rate, and flags the patient while that is still weeks away.

SSQ Divergence

Detects when LAEP and SSQ scores move in opposite directions, a signal of medication side-effect masking.

QOLIE Cognitive Decline

Tracks the cognitive functioning subscale independently, catching early cognitive side-effects before overall score deteriorates.

Clinical pilot · King's College Hospital

Request access

Pilot programme open now. 5 epilepsy patients, 8 weeks, Dr Antonio Valentin PI.

For clinicians and researchers

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Are you a patient? Your care team will send you a private registration link directly.