Following adults with multiple sclerosis to find markers that predict disease activity
Collects health data from adults with multiple sclerosis to predict relapses and progression.
Plain-language title generated from the registry record
Registry title: 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
Key facts
- Where
- Luxembourg, LuxembourgSee the site
Where in Luxembourg
- Centre hospitalier de LuxembourgLuxembourg, LuxembourgNo 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
- Luxembourg Institute of Health
- Trial code
- NCT07280871
- Record updated
- 22 September 2026
- Original description
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.Read full original descriptionShow less
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
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.
Inclusion: Signed informed consent form; ≥ 18 years of age; Willing and able to comply with the protocol for the duration of the study including data and samples collection as well as study visits and examinations; Diagnosed with MS according to the revised McDonald criteria 2017 or revised McDonald criteria 2024, all clinical forms inclusive (CIS, RRMS, SPMS, PPMS) AND early disease stages (< 3 years), OR presenting at hospital for evaluation of a change in therapy (flare) OR transitioning phase to progressive disease as evaluated based on EDSS.
Exclusion: Any condition that could potentially hamper the compliance with the study protocol, including study procedures and study visits such as mental disability that makes it difficult or impossible to answer questionnaires; Diagnosis uncertain (no fulfilment of inclusion criteria); Not fluent in any of the following languages: French, English or German; Known pregnancy before the inclusion into the study.