Disease Progression in ms

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

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07292116

Enrollment

Registered

2025-12-18

Start date

2025-12-15

Completion date

2026-03-01

Last updated

2025-12-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Multiple Sclerosis, Prediction of Disease Progression

Keywords

Multiple sclerosis (MS), artificial intelligence, motor learning

Brief 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.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Having been diagnosed with MS

Exclusion criteria

* be literate

Design outcomes

Primary

Measure	Time frame	Description
Fragility level	3 month	The level of frailty will be measured by the Frailty Index.

Outcome results