ClinicalTrials.gg
RecruitingNCT06280755RECLAIMUpdated Dec 12, 2025

Clinical Impact Through AI-assisted MS Care - A Retrospective Multi-center Observational Study.

An observational study in Multiple Sclerosis, NMO Spectrum Disorder and Myelin Oligodendrocyte Glycoprotein Antibody-associated Disease, sponsored by icometrix. Recruiting at 3 sites in 2 countries. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-12-12.

Sponsored by icometrix · Observational

From the registry’s dates

  • Started Mar 2024; still recruiting 2 years 8 months later.
Study type
Observational
Model
Other
Time perspective
Retrospective
Enrollment
7,000
Ages
18 Years and older
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 251 studies in Multiple Sclerosis with a site in Germany — 26 open to participants now, 48 under way, 15 of them phase 3. Multiple Sclerosis · Germany.

Planned enrollment
Largest of 62
7,000 · median 304
Started
2024
with 10 others
Observational
62 of 251
14 open now
Primary completion
2027-04
later than 20 of 47 live
Registered
228th of 251
by date

Among the 251 studies in Multiple Sclerosis with a site in Germany, this one has the largest planned enrollment of the 62 observational ones that give a count, is one of 11 that started in 2024, is one of 62 observational ones, reaches primary completion later than 20 of the 47 other live ones, and was the 228th registered.

Multiple Sclerosis

3,264 studies on the registry are indexed under Multiple Sclerosis; 659 are open to participants now.

This study's planned enrollment of 7,000 is above the median of 100 across 970 observational studies indexed under Multiple Sclerosis.

Browse Multiple Sclerosis studies →

Open to participants now

26 of the 251 studies in Multiple Sclerosis with a site in Germany are open now, in 12 countries. Each count lists the studies.

All 26 open studies →

Who these studies take

Of the 430 Multiple Sclerosis studies recruiting now, 163 (38%) set no upper age limit and 211 (49%) stop at 75 or younger; 40 take children under 18; 96 take healthy volunteers.

This study: 18 Years and older · all sexes · healthy volunteers too.

The full table on the hub →
Was this useful?
Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 251 studies in Multiple Sclerosis with a site in Germany, or all of them as a file.
02

Study summary

The RECLAIM study aims to gather a centralized and harmonized dataset, enabling the secondary use of data for building AI-based models that will support diagnosis and prognosis of individual Multiple Sclerosis patient's disease course and treatment response in a real-world setting. Additionally, the data will be used to generate further insights on Multiple Sclerosis progression as well as to develop the tools to monitor this progression.

Read the detailed description

There is a clear need for a data-driven and personalized treatment optimisation tool for people with Multiple Sclerosis (MS), in order to enable/support physicians to deploy appropriate therapeutic measures that will help to better slow down disease progression and eventually, progressive disability worsening. While early diagnosis and prognostic modelling is important to make data-driven recommendations for treatment optimisation, being able to disentangle and monitor the disability accumulation due to 'relapse associated worsening' or due to 'progression independent of relapse activity' will be key to optimizing treatment for the best possible long-term outcomes. The latter strongly depends on the availability of biomarkers that can detect and differentiate between these different forms of disease worsening.

With the RECLAIM study, we focus on gathering a centralized and harmonized dataset, enabling the secondary use of data to support prognosis for people with MS, as well as treatment optimisation in a real-world setting. As such, RECLAIM aims to develop MRI-based tools to better monitor disease progression in people with MS, as well as AI-based models that will support prognosis of individual disease course and treatment response, comprising: (i) a biomarker-based MS progression model, (ii) an MRI-focused generative model to predict brain characteristic evolution, and (iii) an interventional model for treatment optimisation. Additionally, the data will be used to generate further insights on Multiple Sclerosis progression as well as to develop the tools to monitor this progression.

03

Conditions studied

  • Multiple Sclerosis
  • NMO Spectrum Disorder
  • Myelin Oligodendrocyte Glycoprotein Antibody-associated Disease
  • Radiologically Isolated Syndrome
  • Clinically Isolated Syndrome

Keywords

  • Multiple Sclerosis
  • Prognosis
  • Progression
  • AI models
  • disease worsening
04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

The study will include patients with a confirmed diagnosis of MS (Thompson et al., 2018), CIS, RIS, NMOSD (Wingerchuck et al., 2015), or MOGAD (Banwell et al., 2023). No other specifications are included. We envision a database that captures the diversity and heterogeneity of the population, in order to address factors influencing disease worsening that have not been investigated yet or have only been investigated to a very limited extent in previous studies.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patients must have a confirmed diagnosis of MS, NMOSD, MOGAD, CIS or RIS.
  • Patient (or patient's legal representative) has previously signed and dated an form (ICF) for the secondary use of their data, or assent form. Alternatively, the secondary use of the patient's data is allowed following Institutional Review Board (IRB)/Ethical Committee (EC) approval in accordance with national and local subject privacy regulations.

Exclusion criteria

Exclusion criteria:

  • Patients under 18 years of age will be excluded.
  • Other unspecified reasons that, in the opinion of the Investigator or Joint Steering Committee, make the patient unsuitable for participation in the study.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Other
Time perspective
Retrospective
Enrollment
7,000 participants (estimated)
Patient registry
No

Groups and cohorts

  • Data from real-world clinical practice

    Retrospective, real-world clinical data obtained via the 6 participating clinical centers in the study.

  • Data from the control arms of relevant clinical trials

    Data from the control arms of relevant clinical trials obtained via the 4 participating pharmaceutical partners in the study.

06

What researchers measure

Primary outcomes

  1. The number of patients from each institution who have contributed data to the database.

    Time frame: 4 years

  2. The number of patients from each institution whose data was mapped to the common data model of the harmonised database.

    Time frame: 4 years

  3. The number of patients from the control arms of clinical trials who have contributed data to the database.

    Time frame: 4 years

  4. The data completeness of each variable in the harmonised database.

    Time frame: 4 years

Secondary outcomes

  1. The representativeness of the harmonised dataset for the MS patient population as evaluated by age range, gender balance, the distribution of country of residence, the distribution of race/ethnicity and the distribution of educational level

    Time frame: 4 years

  2. The validity of the data through an assessment of the amount of erroneous or impossible data entries for each variable.

    Time frame: 4 years

  3. The temporal uniformity of each institution's data over time as assessed by the number of changes to variables over time (addition of new variables or variables no longer being captured, alterations to how variables are captured).

    Time frame: 4 years

  4. The temporal uniformity of the harmonised dataset over time as assessed by the average time between subsequent assessments of each variable.

    Time frame: 4 years

  5. The presence of contextual information on standard data gathering and analysis processes of each institution

    Time frame: 4 years

  6. The presence of a unique and pseudonymised patient ID for all data of each patient, allowing to link such data of each patient.

    Time frame: 4 years

  7. The temporal uniformity of MRI data over time as assessed by the comparability of MRI scans and the average time between subsequent MRI assessments for each patient.

    Time frame: 4 years

  8. The percentage of MRI data sets which are compliant with the MAGNIMS-CMSC-NAIMS acquisition guidelines.

    Time frame: 4 years

  9. The percentage of MRI data sets for which the automated quality control process of icobrain ms did not indicate any quality issues upon analysis.

    Time frame: 4 years

  10. The percentage of patients with a complete disease modifying treatment history available, from the date of diagnosis to the current day.

    Time frame: 4 years

  11. The percentage of patients with a complete disease history available, from the date of diagnosis to the current day.

    Time frame: 4 years

  12. The validity and temporal uniformity for disability assessment as clinically determined by EDSS, Functional systems score, T25FWT, 9HPT and SDMT.

    Each of these scores will be assessed individually for the amount of erroneous or impossible data entries, as well as for the average time between subsequent assessments of each variable.

    Time frame: 4 years

07

Study locations

3 of 3 sites recruiting
  • General University Hospital Prague
    Prague, Praha 2 128 00, Czechia
    Recruiting
    • Dana Horakova, Doc. MUDr., PhD · Contact
  • Katholisches Klinikum Bochum - St. Joseph-Hospital
    Bochum, Bochum 44791, Germany
    Recruiting
    • Carsten Lukas, Prof. Dr. med. · Contact
  • ERC Charité - Universitätsmedizin Berlin
    Berlin, State of Berlin 131256, Germany
    Recruiting
    • Tanja Schmitz-Hübsch, PD Dr. · Contact
08

References and documents

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Mar 2024 (actual). Primary completion is estimated for Apr 2027, 37 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 23, 2024
First posted
Feb 28, 2024
StartActual
Mar 1, 2024
Primary completionEst.
Apr 2027
CompletionEst.
Apr 2027
Last update
Dec 12, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Dec 12, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06280755
Lead sponsor
icometrix
Collaborators
Charite University, Berlin, Germany, Ruhr University of Bochum, Technische Universität Dresden, University Hospital, Lille, Casa di Cura IGEA, General University Hospital, Prague, Hoffmann-La Roche, Bristol-Myers Squibb, Imcyse SA, AB Science, Nocturne UG, Aalto University
Responsible party
Sponsor
First posted
Feb 28, 2024
Start date
Mar 1, 2024
Primary completion
Apr 2027 (estimated)
Completion
Apr 2027 (estimated)
Last update
Dec 12, 2025

Study contacts

Diana M Sima, PhD
Contact
diana.sima@icometrix.com
+32 16 369 000
Vincenzo Anania
Contact
vincenzo.anania@icometrix.com
+32 16 369 000
Friedemann Paul, PhD, MD
principal investigator · Max Delbrück Center - Charite University, Berlin, Germany

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Interested in this study?

Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.

Contact study team

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion