Digital biomarkers
Reaction time, task hesitation, completion patterns, memory recall curves, and behavioral consistency — captured passively through everyday app use.
Digital biomarkers · Cognitive health · Human-AI research
Measuring digital biomarkers before symptoms of Alzheimer's disease appear. NeuroFlex is being built as a longitudinal behavioral research platform — with a cognitive wellness Android app as its first user-facing tool — designed to detect change before it becomes damage.
NeuroFlex is not a diagnostic tool and does not replace medical evaluation, treatment, therapy, or professional healthcare advice.
Research direction
By the time Alzheimer's disease is clinically diagnosed, significant neurodegeneration has already occurred. NeuroFlex is designed around a different premise: that subtle changes in how people interact with everyday digital tasks — reaction latency, hesitation, consistency, routine drift — may carry measurable signal years before the first symptom.
Reaction time, task hesitation, completion patterns, memory recall curves, and behavioral consistency — captured passively through everyday app use.
A single data point is noise. A trajectory spanning months is signal. NeuroFlex is built to study how behavioral patterns evolve — not just how they look at a single moment.
Anonymous identifiers, explicit consent, minimal personal data, and careful scientific language — built into the architecture from the start, not added as an afterthought.
From interaction to insight
The product layer creates frequent, low-pressure interactions. The event layer beneath preserves the behavioral process — timing, hesitation, sequence — that turns individual actions into research-grade longitudinal data.
Roadmap
We are currently in Phase 1. The architecture is designed so that everything built now is a foundation — not a dead end.
First user-facing tool: a free offline Android application with brain training games, daily habit reminders, an alarm system, daily check-ins, and structured behavioral event architecture. No data collection. Establishes the product experience and the event schema future phases will build on.
Anonymous identifiers, layered consent management, secure cloud sync, a behavioral event ingestion pipeline, and encrypted storage. Ethics committee approval required before activation. Research-grade data pipeline with privacy-first design and full GDPR compliance.
Multi-cohort participant recruitment, multi-year observation, academic research partnerships, and integration with clinical biomarker programmes for ground truth development. Target: a sufficiently powered observational dataset for trajectory characterization research.
Behavioral trajectory clustering and classification, anomaly detection for longitudinal change, stratified model development across research cohorts, and exploration of associations between behavioral biomarker trajectories and cognitive outcomes. Peer-reviewed publication and independent validation required before any scientific claims.
Important medical disclaimer
NeuroFlex is intended for general wellness, cognitive engagement, habit support, and future research exploration. It is not a medical device and is not intended to diagnose, predict, prevent, treat, monitor, or cure Alzheimer's disease, dementia, mild cognitive impairment, depression, anxiety, or any other medical or mental health condition.
Information and activities provided by NeuroFlex do not replace professional medical advice, clinical evaluation, therapy, diagnosis, or treatment. Users should consult qualified healthcare professionals for any health concerns, cognitive symptoms, mental health concerns, medication decisions, or changes in physical or emotional wellbeing.
If you or someone else may be in immediate danger or experiencing a medical or mental health emergency, contact local emergency services or a qualified crisis support provider immediately.
NeuroFlex is designed to support people today while building the evidence base for responsible, privacy-conscious behavioral research into cognitive decline tomorrow.