COVID-19 DIAGNOSIS USING DEEP LEARNING

COVID-19 Diagnosis Using Deep Learning

The coronavirus, which appeared in Wuhan city of China and named COVID-19 , spread rapidly and caused the death of many people.Early diagnosis is very important to prevent or slow the spread.The first preferred method by clinicians is real-time reverse transcription-polymerase chain reaction (RT-PCR).However, expected accuracy values cannot Clutch

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Lack of direct involvement of a diazepam long-term treatment in the occurrence of irreversible cognitive impairment: a pre-clinical approach

Abstract Several observational studies have found a link between the long-term use of benzodiazepines and dementia, which remains controversial.Our study was designed to assess (i) whether the long-term use of benzodiazepines, at two different doses, has an irreversible effect on cognition, (ii) and whether there is an age-dependent effect.One hund

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Genome-Wide Identification, Structure Characterization, Expression Pattern Profiling, and Substrate Specificity of the Metal Tolerance Protein Family in Canavalia rosea (Sw.) DC

Plant metal tolerance proteins (MTPs) play key roles in heavy metal absorption and homeostasis in plants.By using genome-wide and phylogenetic approaches, the origin and diversification of MTPs from Canavalia rosea (Sw.) DC.was explored.Canavalia rosea (bay bean) is an extremophile halophyte with strong adaptability to seawater and drought and ther

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