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Transforming Parkinson's Care With Predictive Algorithms

NCT06755645 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2025-12-01

No results posted yet for this study

Summary

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.

Conditions

  • Parkinson

Interventions

OTHER

Lifestyle intervention

A technological smart platform (app) that integrates diets, physical activity programs, sleep habits and other lifestyle interventions

Sponsors & Collaborators

  • University of Deusto

    collaborator OTHER

  • Hospital Universitari Vall d'Hebron Research Institute

    collaborator OTHER

  • University Ramon Llull

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-30
Primary Completion
2026-09-30
Completion
2028-09-30

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06755645 on ClinicalTrials.gov