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AI-based Progression and Medication Response Prediction Study in Parkinson's Disease

AI-based Progression and Medication Response Prediction Study in Parkinson's Disease

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07189468
Acronym
AI-PMP
Enrollment
100
Registered
2025-09-24
Start date
2025-10-06
Completion date
2027-04-01
Last updated
2025-09-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

PARKINSON DISEASE (Disorder)

Keywords

AI, Parkinson disease, smartwatch

Brief summary

The study aims to provide initial PoC validation data of two AI models to predict disease progression and treatment side effects in PD patients using as input patients' demographic, clinical and genetic information, as well as digital biomarker measurements in daily living collected via a smartwatch and a mobile application.

Interventions

DEVICESmartwatch and mobile application

Wearing a smartwatch and using a mobile application for one year

Sponsors

Aristotle Univ. of Thessaloniki (Greece)
CollaboratorUNKNOWN
University Hospital, Toulouse
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
40 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Parkinson's disease diagnosis according to MDS criteria (Postuma et al., 2015) * Disease duration ranging from 5 to 10 years * Age 40-80 * Patients in stages 2 and 3 of the Hoehn and Yahr (a functional disability scale) in the ON condition * The participant is using a compatible smartphone * Written informed consent

Exclusion criteria

* Atypical Parkinsonian Syndrome * Second-line device-aided treatments * Patients with \>4 daily doses of L-DOPA * Daily levodopa equivalent dose \> 1500 mg * Ongoing hallucinations requiring short-term treatment adjustment * Inability to provide informed consent or participate in the study * Inability to use the smartwatch and/or the mAI-Care app - as judged by investigator * Lacking motivation to participate in study procedures - as judged by investigator * Under adult autonomy protection system, legal guardianship or incapacitation * Pregnant and breast-feeding women

Design outcomes

Primary

MeasureTime frameDescription
Classification performance of the Parkinson's disease (PD) progression prediction modelBetween baseline and 12 monthsClassification performance of the model in predicting observed motor disease progression, defined as a binary outcome: the condition of a patient is classified as worsened if either the Movement Disorder Society Unified Parkinson's Disease (MDS-UPDRS) rating scale part III score in ON-state increases by more than 3 points (\>3), or the Levodopa Equivalent Daily Dose (LEDD) increases by more than 10%.

Secondary

MeasureTime frameDescription
Usability of the mAI-Care app12 month visitSystem Usability Scale score of end-users (PD patients)
Usability of the mAI-Insights app12 month visitSystem Usability Scale score of end-users (clinicians)

Countries

France, Germany, Spain, United Kingdom

Contacts

Primary ContactMargherita FABBRI, MD
fabbri.m@chu-toulouse.fr0561776039

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026