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Recruiting NCT06526364

NCT06526364 Clinnova-MS: A Prospective Cohort Study of Patients With Multiple Sclerosis (Switzerland)

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Clinical Trial Summary
NCT ID NCT06526364
Status Recruiting
Phase
Sponsor University Hospital, Basel, Switzerland
Condition Multiple Sclerosis
Study Type OBSERVATIONAL
Enrollment 100 participants
Start Date 2024-12-10
Primary Completion 2029-06

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type OBSERVATIONAL
Interventions
All participants will be asked to provide data and samples for collection and analysis.

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 100 participants in total. It began in 2024-12-10 with a primary completion date of 2029-06.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

This prospective cohort study is part of the Clinnova programme and aims to (i) identify clinical imaging and omics characteristics associated with early Multiple Sclerosis (MS) and with transitioning phases to progressive MS, as well as (ii) to investigate digital biomarkers allowing the continuous clinical monitoring of those patients.

Eligibility Criteria

Inclusion Criteria: * Age ≥18 * Participants are willing and able to comply with the protocol, including undergoing data and samples collection as well as study visits and examinations. * Signed informed consent form * In possession of a Healios+Me app compatible smartphone (iOS/Android) * Corrected close visual acuity of ≥0.5 * Hand motor skills sufficient for using a smartphone * Ability to follow the study procedures * Diagnosed with MS according to the revised McDonald criteria 2017, all clinical forms inclusive (clinically isolated syndrome, RRMS, SPMS, PPMS) AND early disease stages (\< 3 years) OR transitioning phase to progressive disease as evaluated based on Expanded Disability Status Scale (EDSS). * Enrolled in the SMSC at University Hospital Basel There are no specific exclusion criteria.

Contact & Investigator

Central Contact

Bebeka Cosandey (Clinnova:Scientific Project Lead), PhD

✉ bebeka.cosandey@usb.ch

📞 +41 79 961 26 31

Principal Investigator

Cristina Granziera, Prof.

PRINCIPAL INVESTIGATOR

Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB)

Frequently Asked Questions

Who can join the NCT06526364 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Multiple Sclerosis. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06526364 currently recruiting?

Yes, NCT06526364 is actively recruiting participants. Contact the research team at bebeka.cosandey@usb.ch for enrollment information.

Where is the NCT06526364 trial being conducted?

This trial is being conducted at Basel, Switzerland.

Who is sponsoring the NCT06526364 clinical trial?

NCT06526364 is sponsored by University Hospital, Basel, Switzerland. The principal investigator is Cristina Granziera, Prof. at Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB). The trial plans to enroll 100 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology