Clinnova-MS: A Prospective Cohort Study of Patients With Multiple Sclerosis: A Trans-regional Digital Health Effort Unlocking the Potential of Artificial Intelligence and Data Science in Health Care
NCT07280871 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2026-01-06
Summary
The Clinnova-Multiple Sclerosis (MS) study is part of the Clinnova program (NCT06526364; NCT06235684 and NCT05733702), which seeks to advance precision medicine and the digitalization of healthcare through high-quality, interoperable health data.
This program focuses on people with multiple sclerosis (MS) and aims to identify objective surrogate markers derived from clinical, epidemiological, imaging, and omics data that can predict disease activity, such as progression or relapses.
By combining data science and artificial intelligence, the project seeks to improve patient stratification, support personalized therapeutic decisions, and provide insights into the mechanisms underlying treatment response and disease progression.
Although many therapies are available for MS, it remains challenging to determine the most appropriate strategy for each patient and to prevent long-term disability. Current treatments mainly target relapses and inflammation, with limited effects on chronic progression. Clinnova-MS will collect and analyze real-world and research data to better understand variability in disease activity and treatment outcomes, enabling more precise, evidence-based care within the standard of care. This study represents the first step toward the broader Clinnova objective: developing sustainable, personalized, and preventive healthcare for people living with MS.
Conditions
- Multiple Sclerosis, Relapsing-Remitting
- Multiple Sclerosis, Chronic Progressive
- Clinically Isolated Syndrome
- Primary Progressive Multiple Sclerosis
Interventions
- OTHER
-
Cohort
Participants will provide data and samples for analysis. In the first year after inclusion, demographics, lifestyle, labs, and physical exams will be collected at baseline, 6, and 12 months. Patient-Reported Outcomes (PROs) and challenges will be gathered between visits via the dreaMS app. Biological samples (blood required; saliva, urine, stool, CSF, hair optional), tissue from endoscopic biopsy, and imaging (if done as standard care) will be taken at baseline, 6, and 12 months. One unscheduled visit may occur for flares or treatment changes. From month 12 to 4 years later, yearly medical data, PROs every 6 months, and continuous smartwatch data will be collected.
Sponsors & Collaborators
-
Centre Hospitalier du Luxembourg
collaborator OTHER -
Luxembourg National Research Fund
collaborator UNKNOWN -
Luxembourg Institute of Health
lead OTHER_GOV
Principal Investigators
-
Krüger Rejko, Prof. Dr. MD · LIH
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-06-30
- Primary Completion
- 2032-06-30
- Completion
- 2040-06-30
Countries
- Luxembourg
Study Locations
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