PubMed COVID-19 Clinical Care

To prevent COVID-19, the COVID-19 vaccine has been widely administered worldwide, but various complications accompany this vaccine. The aim of this study was to investigate the demographic patterns, clinical features, diagnostic findings, and

This study explores missed pediatric speech and language pathology (SLP) appointments to identify barriers for patients with speech disorders. Data from 839 referrals at Boston Medical Center, including demographics, appointment details, COVID-19

CONCLUSION: SARS-CoV-2 infection was associated with increased risk for incident AIRD compared with matched patients without SARS-CoV-2 infection or with influenza infection. The risk for incident AIRD was higher with greater severity of acute COVID

CONCLUSION: Our findings suggested that for patients who get infected with COVID-19, the immediate investment in a FET cycle in the next month after recovery did not seem to compromise the ongoing pregnancy outcomes in cases of transferred embryos

No abstract

Introduction: Telehealth in India is growing rapidly and represents a strategy to promote affordable, inclusive, timely and safe access to healthcare. Yet there is a risk that telehealth increases inequity due to the digital divide and existing poor

We conducted an in silico analysis to better understand the potential factors impacting host adaptation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in white-tailed deer, humans, and mink due to the strong evidence of sustained

Patients with anti-melanoma differentiation-associated gene 5 (anti-MDA5) dermatomyositis (DM) have a higher risk of coronavirus disease 2019 (COVID-19) infection. In this longitudinal observational study, we aimed to investigate the clinical and

The study focused on the accurate diagnosis of lung diseases, considering the high number of lung disease-related deaths in the world. Chest x-ray images were used as they are a cost-effective and widely available diagnostic tool. Eight different

This Editorial introduces the PeerJ Computer Science Special Issue on Analysis and Mining of Social Media Data. The special issue called for submissions with a primary focus on the use of social media data, for a variety of fields including natural