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Diseases

The University of Louisville Journal of Respiratory Infections

Journal

2020

COVID-19

Articles 1 - 3 of 3

Full-Text Articles in Medicine and Health Sciences

Gastrointestinal Symptoms In Patients With Covid-19, Mohammed Abbas, Rafik Elbeblawy, Islam Gadelmoula, Suvarna Rekha, Bettina Sinanova, Jose Bordon Sep 2020

Gastrointestinal Symptoms In Patients With Covid-19, Mohammed Abbas, Rafik Elbeblawy, Islam Gadelmoula, Suvarna Rekha, Bettina Sinanova, Jose Bordon

The University of Louisville Journal of Respiratory Infections

Introduction: Though coronavirus disease 2019 (COVID-19) is predominantly a respiratory illness, a growing number of studies reported gastrointestinal (GI) symptoms among these patients. We examined the incidence of GI symptoms in patients with COVID-19 and GI symptoms as the initial presentation of the disease.

Methods: We examined peer-reviewed studies in English of patients with COVID-19 that reported GI symptoms. We searched PubMed and Google Scholar for articles published up to June 30, 2020, by using the keywords ``COVID-19,'' ``Coronavirus,'' ``severe acute respiratory syndrome coronavirus 2,'', ``SARS-CoV-2,'' ``gastrointestinal tract,'' ``gastrointestinal diseases,'' and ``gastrointestinal symptoms and signs.'' Studies with fewer than 30 …


Covid-19 Detection From Chest X-Ray Images Using Cnns Models: Further Evidence From Deep Transfer Learning, Mohamed Samir Boudrioua Jul 2020

Covid-19 Detection From Chest X-Ray Images Using Cnns Models: Further Evidence From Deep Transfer Learning, Mohamed Samir Boudrioua

The University of Louisville Journal of Respiratory Infections

Introduction: The early automatic diagnosis of the novel coronavirus (COVID-19) disease could be very helpful to reduce its spread around the world. In this study, we revisit the identification of COVID-19 from chest X-ray images using deep learning.

Methods: We collected a relatively large COVID-19 dataset—compared with previous studies—containing 309 real COVID-19 chest X-ray images. We also prepared 2,000 chest X-ray images of pneumonia cases and 1,000 images of healthy controls. Deep transfer learning was used to detect abnormalities in our image dataset. We fine-tuned three, pre-trained convolutional neural network (CNN) models on a training dataset: DenseNet 121, NASNetLarge, and …


How Immune T-Cell Augmentation Can Help Prevent Covid-19: A Possible Nutritional Solution Using Ketogenic Lifestyle, Ravi K. Kamepalli Md,Fidsa,Cwsp Apr 2020

How Immune T-Cell Augmentation Can Help Prevent Covid-19: A Possible Nutritional Solution Using Ketogenic Lifestyle, Ravi K. Kamepalli Md,Fidsa,Cwsp

The University of Louisville Journal of Respiratory Infections

No abstract provided.