Disease Progression in ms

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.

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Key information

Conditions

Prediction of Disease Progression Autoimmune Diseases Autoimmune Diseases of the Nervous System Demyelinating Autoimmune Diseases, CNS Demyelinating Diseases Immune System Diseases Multiple Sclerosis Nervous System Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Having been diagnosed with MS

Exclusion criteria

be literate

Treatment and study plan

Primary outcomes

Fragility level

Time frame: 3 month

The level of frailty will be measured by the Frailty Index.

Sponsors and collaborators

Lead sponsor

Hüseyin Bektaş

Other

Registry information

Official study title

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

Important dates

Study start: 2025
Primary completion: 2025
Study completion: 2026
First posted: Dec 18, 2025
Registry last updated: Dec 18, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

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