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NCT07302633

Virtual Microscopy Versus Optical Microscopy

Completed NA Last updated 24 December 2025
What this trial tests

NA trial testing Optical Microscopy in Learning Problem in 350 participants. Completed in 30 October 2024.

Timeline
1 August 2024
Primary endpoint
30 October 2024
30 October 2024

Quick facts

Lead sponsorMuhammad Aamir Latif
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingnone
Primary purposeother
Enrollment350
Start date1 August 2024
Primary completion30 October 2024
Estimated completion30 October 2024
Sites1 location across Pakistan

Drugs / interventions tested

Conditions studied

Sponsor

Muhammad Aamir Latif — full company profile →

Who can join

Adults 20 to 24, any sex, with Learning Problem. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The literature reveals ongoing debate regarding the relative effectiveness of Virtual Microscopy (VM) versus Optical Microscopy (OM) in achieving specific learning outcomes (SLOs). There remains a paucity of comprehensive, comparative research evaluating these methodologies against standardized learning outcomes in the medical undergraduate population. This instigated a comparison of VM and OM as teaching methodologies for pathology in medical education, specifically focusing on their effectiveness in achieving predetermined learning outcomes.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Learning Problem

Currently open trials in the same condition.

Other Muhammad Aamir Latif trials

Trials by the same sponsor.

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Data sources for this page

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/NCT07302633.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing