Transforming Parkinson's Care With Predictive Algorithms

Lifestyle interventions can alleviate Parkinson's Disease (PD) symptoms and delay disease progression. The novelty of this project lies in the development of an innovative smart platform that utilizes artificial intelligence (AI) and predictive models to offer a groundbreaking solution that not only prevents disease progression but also significantly improves the well-being of patients with PD. For this, the technological smart platform will encompass 50 clinical variables, and a comprehensive range of other 50 supplementary variables, validated in a database with more than 1500 patients. The smart platform will include a user-friendly interface with different user profiles and a scalable back end with AI-based monitoring and prediction modules. This will offer primary prevention, early detection, and ongoing monitoring by specialized medical professionals at home and in hospitals.

NCT Number	NCT06755645
Lead Sponsor	University Ramon Llull Collaborators: University of Deusto, Hospital Universitari Vall d'Hebron Research Institute
Conditions	Parkinson
Enrollment	200 participants
Start Date	2026-09
Primary Completion	2026-09 (estimated)
Study Completion	2028-09 (estimated)
Updated on ClinicalTrials.gov	2025-12-01