Early detection, empowered decisions.

ParkinSense is building a non-invasive, AI-driven digital platform to identify Parkinson's earlier and support clinicians with clear, data-backed insight.

The ParkinSense platform

Evidence so far

0
false negatives in proof-of-concept testing.
4
initial false positives — 3 were clinically diagnosed with PD ~10 months later.
~10 months
Average lead time: ParkinSense flagged earlier than standard care.
£50,000
of funding secured so far.

Early internal results; ongoing validation with clinicians.

Features

Non-invasive by design

Software-only assessments make ParkinSense accessible to many more patients and healthcare systems.

Unique model architecture

Unique AI architecture to surface early risk and support diagnosis across varied PD presentations.

Easy for anyone, anywhere

A 25-minute guided assessment that can be done at home with a helper or in a clinical setting.

Clinician-centred

Clear risk scores, explanations, and red-flags co-designed with clinicians to fit real workflows.

Use Cases

Neurology triage

Prioritise referrals with structured summaries and risk scores to reduce waitlists.

Long-term risk monitoring

Track high-risk individuals and trigger early interventions as risk rises.

Decision support

Assist healthcare professionals in differentiating PD from similar neurological conditions more accurately.

Low-resource access

Provide highly specialised PD detection and support to low-resource settings.

Pharma recruitment

Identify suitable participants earlier to accelerate the quest for a Parkinson's cure.

Explore new applications

Have a specific use case in mind? We're open to discussing how ParkinSense can support your clinical or research needs.

We're always looking for collaborators.

Clinicians, researchers, engineers, healthcare providers, and partners — if you want to work with us, we'd love to talk.

Email us