Sample-to-answer platform for the clinical evaluation of COVID-19 using a deep learning-assisted smartphone-based assay

Abstract Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy can greatly impact individual patient care and public health.However, current self-testing for COVID-19 detection suffers from low accuracy, mainly due to the LFA sensitivity and reading ambiguities.Here, we ORG COCONUT MCT OIL present deep learning-assisted

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The specificity of Babesia-tick vector interactions: recent advances and pitfalls in molecular and field studies

Abstract Background Babesia spp.are protozoan parasites of great medical and veterinary importance, especially in the Mig Welders (GMAW) northern Hemisphere.Ticks are known vectors of Babesia spp., although some Babesia-tick interactions have not been fully elucidated.Methods The present review was performed to investigate the specificity of Babesi

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