Predictive AI Platform for Lifestyle Care in Parkinson's Disease
Tests an AI platform that predicts and monitors Parkinson's disease in people with it.
Plain-language title generated from the registry record
Registry title: Transforming Parkinson's Care With Predictive Algorithms
Key facts
- Where
- Barcelona, SpainSee the site
Where in Spain
- Ramon Llull UniversityBarcelona, SpainNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- University Ramon Llull
- Trial code
- NCT06755645
- Record updated
- 1 December 2025
- Original description
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.Read full original descriptionShow less
Revolutionizing Patient Care and Lifestyle Through Predictive Algorithms in Parkinson's Disease
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.
Inclusion: Patients with Parkinson's disease.
Exclusion: N/A.