PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
June 28, 2024Malaria JournalOpen Access

Diagnostic accuracy of an automated microscope solution (miLab™) in detecting malaria parasites in symptomatic patients at point-of-care in Sudan: a case–control study

View Full Paper
Ask AI
Bookmark
Share

Authors

MHMuzamil Mahdi Abdel HamidAMAbdelrahim Osman MohamedFMFayad O. Mohammed

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Hamid et al. (2024) studied this question.

synapsesocial.com/papers/68e62c14b6db6435875be0adhttps://doi.org/10.1186/s12936-024-05029-3
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Automated microscopy for malaria diagnosis in a reference laboratory in nonendemic settings2026 · 1 citations
  2. 2Evaluating the diagnostic performance of miLab™ for detection of malaria parasites using nPCR as reference standard2026
  3. 3Embedded-deep-learning-based sample-to-answer device for on-site malaria diagnosis2024 · 6 citations
  4. 4A digital microscope for the diagnosis of Plasmodium falciparum and Plasmodium vivax, including P. falciparum with hrp2/hrp3 deletion2024 · 5 citations
  5. 5Diagnostic gaps in light microscopy for malaria case management and control in Dilla Zuria Health Facility, southern Ethiopia2026