The study aims to evaluate MSCopilot® Detect, a smartphone application for at-home monitoring of patients with Multiple Sclerosis (MS). The primary objective is to enhance and standardize remote monitoring of MS patients to accurately assess disease progression caused by either Relapse Activity Worsening (RAW) or Progression Independent of Relapses (PIRA). The study also aims to assess the safety, usability, and satisfaction of the solution. A secondary objective is to determine MSCopilot® Detect's ability to provide early detection of disease changes and predict changes in Expanded Disability Status Scale (EDSS) scores in more patients. Exploratory objectives include evaluating the relationship between MSCopilot® Detect composite and individual scores and other biomarkers such as MRI, soluble glial fibrillary acidic protein (sGFAP), and soluble neurofilament light chain (sNfL). Patients will be able to download the free MSCopilot® Detect app. They will participate in 1 inclusion visit and 3 follow-up visits, scheduled at 6 months, 12 months, and 18 months (an additional visit at 24 months may be scheduled if necessary). Every 3 months, patients will complete validated questionnaires regarding MS symptoms and quality of life and participate in digital tests designed to monitor MS symptom progression. The study will include 314 MS patients and will be conducted in the United States, Canada, Germany, Italy, Spain, Denmark and France
Multiple Sclerosis
The study aims to evaluate MSCopilot® Detect, a smartphone application for at-home monitoring of patients with Multiple Sclerosis (MS). The primary objective is to enhance and standardize remote monitoring of MS patients to accurately assess disease progression caused by either Relapse Activity Worsening (RAW) or Progression Independent of Relapses (PIRA). The study also aims to assess the safety, usability, and satisfaction of the solution. A secondary objective is to determine MSCopilot® Detect's ability to provide early detection of disease changes and predict changes in Expanded Disability Status Scale (EDSS) scores in more patients. Exploratory objectives include evaluating the relationship between MSCopilot® Detect composite and individual scores and other biomarkers such as MRI, soluble glial fibrillary acidic protein (sGFAP), and soluble neurofilament light chain (sNfL). Patients will be able to download the free MSCopilot® Detect app. They will participate in 1 inclusion visit and 3 follow-up visits, scheduled at 6 months, 12 months, and 18 months (an additional visit at 24 months may be scheduled if necessary). Every 3 months, patients will complete validated questionnaires regarding MS symptoms and quality of life and participate in digital tests designed to monitor MS symptom progression. The study will include 314 MS patients and will be conducted in the United States, Canada, Germany, Italy, Spain, Denmark and France
MS-DETECT: Early Detection of Multiple Sclerosis Progression with MSCopilot® Detect
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Jennifer Graves, San Diego, California, United States, 92093
Joash Lazarus Sr., Atlanta, Georgia, United States, 30327
Daniel Wynn, Northbrook, Illinois, United States, 60062
Craig E. Herrman, Indianapolis, Indiana, United States, 46256
Jennifer Feng, New Orleans, Louisiana, United States, 70121
Robert Naismith, St Louis, Missouri, United States, 63110
Aaron Boster, Columbus, Ohio, United States, 43235
Gabriel Pardo, Oklahoma City, Oklahoma, United States, 73104
Vijayshree Yadav, Portland, Oregon, United States, 97239-3098
Leorah Freeman, Austin, Texas, United States, 78712
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
30 Years to 65 Years
ALL
No
Ad scientiam,
2026-12-31