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.
Latest News
ParkinSense comes 2nd at the Santander X National Finals
Out of 800 applicants, ParkinSense secured 2nd place in the University Category at the Santander X UK Awards 2025.
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ParkinSense completes successful pilot trials with Brunel Universities BORG group
During the week of December 8-12th, ParkinSense conducted pilot trials with Brunel University's BORG research group. We assessed our prototype application's usability, trust, and understanding, and conducted an experiment on trust in results, findings from which will be published soon.
Read moreEvidence 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