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Recent studies have shown that computed tomography (CT) scan images can characterize COVID-19 disease in patients. Several deep learning (DL) methods have been proposed for diagnosis in the literature, including convolutional neural networks (CNN). But, with inefficient patient classification models, the number of ‘False Negatives’ can put lives at risk. The primary objective is to improve the model so that it does not reveal ‘Covid’ as ‘Non-Covid’. This study uses Dense-CNN to categorize patients efficiently. A novel loss function based on cross-entropy has also been used to impro...

Here are 6 stages of a novel Data Science Project; From Data Collection to Model in Production, backed by research and examples.

Background: Spontaneous bacterial peritonitis (SBP) is among the most common complications of liver cirrhosis with ascites. In the past, it was considered a potentially incurable disease, but its prognosis, though still quite poor, has much improved in the past few years. This has become possible due to early diagnosis and prompt treatment of this once-incurable complication of ascites. The main aim of this study was to know the relation between clinically suspected SBP and laboratory-confirmed SBP so that in the absence or delay in the more accurate diagnostic facilities, clinicians can start...

The new guidance from the FDA is based on findings from a new study by University of Massachusetts Chan Medical School researchers showed the new timelines are more likely to detect an infection.

/PRNewswire/ -- The 'COVID-19 Rapid Antigen Test Kits Market - Global Outlook & Forecast 2022-2027' report has been added to ResearchAndMarkets.com's offering....