ClinicalTrials.gg
Not yet recruitingNCT07762326AIUpdated Aug 13, 2026

Effect of Artificial Intelligence Based Cognitive Training on Sleep Disorders and Quality of Life in Patients With Multiple Sclerosis

An interventional study of cognitive Therapy by artificial intillegence and designed physical-therapy program in Multiple Sclerosis, sponsored by Cairo University. Not yet recruiting. Open to participants aged 25 Years to 40 Years. Per ClinicalTrials.gov, last updated 2026-08-13.

Sponsored by Cairo University · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Randomized
Ages
25 Years to 40 Years
Sex
All
01

Study summary

this study will be conducted to investigate the effect of artificial intelligence (AI) based cognitive training on sleep disorders and quality of life in patients with multiple sclerosis.

Read the detailed description

Multiple sclerosis (MS) is a chronic progressive inflammatory autoimmune neurodegenerative disease of central nervous system (CNS) and it is considered to be the most prevalent neurological disability of young adults, often leads to severe physical or cognitive incapacitation. The severity of disability in MS patients is increased not only by motor disorders and other neurological deficit, but by the presence of cognitive impairment (CI), psycho-emotional disorders, like anxiety and/or depression, and sleep disorders (SD). Cognitive dysfunction is one of the most common and consequential symptoms of MS. Impairments in processing speed, working memory, learning, executive function, visuospatial processing, and language function affect an estimated 42% to70% of individuals with MS, and constitute a major cause of loss of employment and reduced quality of life. Despite its high prevalence and effect, there are no definitive treatments for cognitive dysfunction in MS, and the identification of appropriate strategies to improve cognition in MS is hindered by a poor understanding of modifiable factors that may influence its severity. AI is playing a significant role in harnessing neuroplasticity for cognitive enhancement through innovative applications such as cognitive training programs.These programs, driven by machine learning algorithms, can adapt to individual user performance, providing personalized training that optimizes cognitive functions such as memory, attention, and problem-solving .

02

Conditions studied

  • Multiple Sclerosis

Keywords

  • Artificial Intelligence Based Cognitive Training
  • Sleep Disorders
  • Quality of Life
  • Multiple Sclerosis
03

In context

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 40 is below the median of 50 across 2,201 interventional studies indexed under Multiple Sclerosis.

Browse Multiple Sclerosis studies →

Lead sponsor

Cairo University is the lead sponsor of 4,941 studies on the registry; 1,458 are open to participants now.

Of its 37 completed or terminated interventional studies of FDA-regulated products, 5 (14%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
25 Years to 40 Years
Sexes eligible
All
Accepts healthy volunteers
No

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

  • Patient's age ranges from 25-40 years.
  • Patient with EDSS not more than 5.
  • Patients who have no relapses for the previous three months.
  • Patients with sufficient cognitive abilities that enables them to understand and follow
  • instructions with a score more than 24 according to the scale

Exclusion criteria

Exclusion Criteria:

  • Mechanical or neuromascular problems.
  • Cardiovascular problems (unstable angina, recent myocardial infarction within the last three months, congestive heart failure, significant heart valve dysfunction, or unstable hypertension) or pulmonary disorders.
  • Auditory problems.
  • Sensory impairment caused by other diseases except the MS such as diabetes mellitus.
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.

MMSE and MoCA

Short tests of memory and thinking, each scored out of 30. Lower scores suggest more difficulty; criteria give a range, either to include people with memory problems or to leave them out.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
40 participants (estimated)

Study arms

  • Experimental
    cognitive Therapy by artificial intillegence

    Twenty patients with multiple sclerosis will receive a cognitive therapy by Lumosity application in addition to a designed physical-therapy program 3 times per week for 8 weeks

    Other: cognitive Therapy by artificial intillegence · Other: designed physical-therapy program

  • Active comparator
    designed physical-therapy program

    Twenty patients with multiple sclerosis will receive a designed physical-therapy program 3 times per week for 8 weeks)

    Other: designed physical-therapy program

Interventions

  • Othercognitive Therapy by artificial intillegence

    The patients will receive cognitive therapy by an artificial intelligence application called Lumosity. Lumosity is an online cognitive training that can incredibly engage the individual's innate neuroplasticity, making the person smarter. Perhaps Lumosity training actually increases the release of dopamine, the neurochemical that is very crucial for many brain functions, and the puls-designed physical therapy program

  • Otherdesigned physical-therapy program

    Patients will receive designed physical-therapy program in the form of sleep and bedtime restrictions, stimulus control instructions, education for sleep and promoting good sleep habits (or sleep hygiene), teaching relaxation skills

06

What researchers measure

Primary outcomes

  1. sleep disability

    Pittsburgh Sleep Quality Index will be used to assess sleep disability. it gives impression on sleep quality, sleep latency, sleep duration, usual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction over one month, The sum of scores for these seven components yields one global score. Scoring of the answers is based on a 0 to 3 scale and a global sum equal or larger than 5 indicates a "poor" sleeper

    Time frame: up to eight weeks

  2. daytime sleepiness

    Epworth Sleepiness Scale will be used to assess daytime sleepiness. It measures the general level of daytime sleepiness it is composed of 8 items to rate on a 4 -point scale (0-3). A higher score indicates higher level of daytime sleepiness. Using a cut-off score \> 10, it is possible to identify individuals with excessive daytime sleepiness. Scores \>16 indicates ever sleepiness

    Time frame: up to eight weeks

Secondary outcomes

  1. cognitive disability

    CogniFit will be used to assess cognitive function. it is a digital health platform offering computerized cognitive assessments and interventions for users, researchers, and practitioners. The CogniFit cognitive score is an aggregate measure of your brain's performance across 20 more different cognitive skills. The scale ranges from a minimum of 0 to a maximum of 800, evaluated against normalized data matched to your specific age and gender. 0 - 200 (Red): Below average for your age and sex; highlights a cognitive weakness. 200 - 400 (Yellow): Low range, but still within the normal average and open to improvement. 400-600 (Green): High score within the average; indicates good condition relative to peers.600-800 (Green): Above average; signals a distinct cognitive strength or skil.

    Time frame: up to eight weeks

  2. oxygen saturation

    A smartwatch will be used to assess oxygen saturation.

    Time frame: up to eight weeks

  3. heart rate

    A smartwatch will be used to assess heart rate

    Time frame: up to eight weeks

  4. life disability

    World Health Organization Quality of Life Assessment Brief will be used to assess life disability. it has a four-domain structure which are physical health, psychological domain, social domain and environmental domain to provide a short-form quality of life assessment. Subjects rated all items on a 5-point Likert-type scale. Raw scores for the domains of WHOQOL-BREF were calculated by adding values of single items and were transformed on the scale ranging from 0 to 100 where 100 is the highest and 0 the lowest.

    Time frame: up to eight weeks

  5. fatigue severity

    The fatigue severity scale FSS will be used to assess fatigue severity. it is a self-report scale with nine items that assess the degree of physical fatigue over the previous week. The Fatigue Severity Scale (FSS) is scored by adding the answers to 9 questions and finding the total sum or the average mean. Each question uses a 7-point scale from 1 (strongly disagree) to 7 (strongly agree) based on the past week. Add all 9 numbers together. The total score ranges from 9 to 63.Divide the total sum by 9. The average score ranges from 1.0 to 7.0.a higher score indicates more severity

    Time frame: up to eight weeks

07

Study locations

No study locations are listed for this record.

08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 13, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT07762326
Lead sponsor
Cairo University
Responsible party
Rania Hamed Rashad Ahmed (principle investigator : rania hamed rashad ahmed, Cairo University) — Principal investigator
First posted
Aug 13, 2026
Start date
Aug 20, 2026 (estimated)
Primary completion
Mar 30, 2027 (estimated)
Completion
Mar 30, 2027 (estimated)
Last update
Aug 13, 2026

Study contacts

rania hamed, master
Contact
Raniahamed542@gmail.com
01112084518

Oversight

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

Not currently enrolling

This study is not yet recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.

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