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NCT07292116
Disease Progression in ms
trial in Prediction of Disease Progression in 53 participants. Not yet recruiting.
20 December 2025
Quick facts
| Lead sponsor | Hüseyin Bektaş |
|---|---|
| Status | Not yet recruiting |
| Study type | OBSERVATIONAL |
| Enrollment | 53 |
| Start date | 15 December 2025 |
| Primary completion | 20 December 2025 |
| Estimated completion | 1 March 2026 |
Conditions studied
- Prediction of Disease Progression — all drugs for Prediction of Disease Progression →
- Multiple Sclerosis — all drugs for Multiple Sclerosis →
Sponsor
Hüseyin Bektaş
Who can join
18 and older, any sex, with Prediction of Disease Progression or Multiple Sclerosis. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07292116
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07292116 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Hüseyin Bektaş
- Last refreshed: 18 December 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07292116.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing