NCT07292116

Disease Progression in ms

Prediction of Disease Progression Using Machine Learning Based on Clinical Data in People With Multiple Sclerosis

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 53 (estimated)
• Sponsor: Hüseyin Bektaş · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Demographic and clinical data will be obtained from people with MS. Based on this data, the progression of the disease will be predicted with artificial intelligence.

Detailed description

Demographic and clinical data will be obtained from people with MS. Demographic data; age, gender, disease type, disease duration. Clinical data; Frailty, Physical Activity Level, Walking, Balance, Fatigue, Quality of Life. Based on these data, disease progression will be predicted with artificial intelligence and motor learning.

Conditions

• Prediction of Disease Progression
• Multiple Sclerosis

Timeline

• Start date: 2025-12-15
• Primary completion: 2025-12-20
• Completion: 2026-03-01
• First posted: 2025-12-18
• Last updated: 2025-12-18