CLINICAL EVIDENCE
Access clinical and scientific evidence validating the performance of miLab™.
Evaluating the diagnostic performance of miLab™ for detection of malaria parasites using nPCR as reference standard
Malaria Journal | Ebenezer Kojo Addae, et al. | 2026.02
malaria · nPCR · Ghana · AI diagnostics
Malaria Diagnostics: A Scoping Review from Traditional to Artificial Intelligence–Powered Methods
npj Digital Medicine | Fangxu Xing, et al. | 2026.06
malaria · AI diagnostics · scoping review · deep learning
Webinar | Transformative Workflow: Mastering Integrated Decision-Making for Greater Confidence in PLT Clump Management
Speaker: Dr. Renske van den Bijgaart, Clinical Diagnostics Gelre | 2026.06
platelet morphology · hematology · digital morphology · webinar
Analytical and Morphological Performance of a Digital Image-Based Morphology Analyzer Versus a Conventional Flow-Cytometry-Based Automated Hematology Analyzer
HemaSphere | 2026;10(S1) / EHA2026 Congress | Jiyeon Kim, et al. | 2026.05
miLab BCM · digital morphology · WBC differential · blast detection
Performance Evaluation of CBC Analysis on miLab™ BCM: A Comparative Study with Sysmex XN Hematology Analyzer
ISLH 2026 | CY Bae, et al. | 2026.04
CBC · Immature Granulocytes · WBC differential · AI digital imaging
![[ESCMID 2026] AI-Based Digital Microscopy for Malaria Diagnosis: Preliminary Validation and Cost-Effectiveness](/_next/image?url=%2Fimages%2Fthumbnails%2Fai-based-digital-microscopy-for-malaria-diagnosis-preliminary-validation-and-cost-effectiveness.png&w=3840&q=75&dpl=dpl_5pXds5d4Fp9PdDiafA5bQLg9WHKB)
[ESCMID 2026] AI-Based Digital Microscopy for Malaria Diagnosis: Preliminary Validation and Cost-Effectiveness
ESCMID 2026 | P. Pitzinger, et al. | 2026.04
malaria · AI diagnostics · digital microscopy · cost-effectiveness