PubMed COVID-19 Clinical Care

CONCLUSION: Patients with PsO and patients with PsA initiating apremilast via telehealth or in-person during the COVID-19 pandemic had similar medication adherence and persistence during the 6-month follow-up period. These data suggest that patients

CONCLUSIONS: The current study provides unique real-world support for variability in rumination as a key indicator of change over the course of CBT for depression.

COVID-19 is transmitted by airborne particles containing virions of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus virions represent nanoparticles enveloped by a lipid bilayer decorated by a "crown" of Spike protein

CONCLUSION: Telemonitoring of vital signs is a feasible method of remote care that helps identify patients requiring immediate hospital admission. For further scale-up, we suggest shortening call intervals in the first five days, when the risk of

Monitoring COVID-19 infection cases has been a singular focus of many policy makers and communities. However, direct monitoring through testing has become more onerous for a number of reasons, such as costs, delays, and personal choices. Wastewater

Dexamethasone (DEX) given at a dose of 6 mg once-daily for 10 days is a recommended dosing regimen in patients with COVID-19 requiring oxygen therapy. We developed a population pharmacokinetic and pharmacodynamic (popPK/PD) model of DEX anti

The coronavirus disease 2019 has become a threat to global healthcare because of its rapid spread and evolution. In severe cases, the initial management of the disease is mainly supportive therapy and mechanical ventilation. Therefore, we

The COVID-19 pandemic is a public health crisis that also fuels the pervasive social inequity in the United States. Existing studies have extensively analyzed the inequity issues on mobility across different demographic groups during the lockdown

This paper focuses on addressing the urgent need for efficient and accurate automated screening tools for COVID-19 detection. Inspired by existing research efforts, we propose two framework models to tackle this challenge. The first model combines a

The COVID-19 infection is still a serious threat to public health and healthcare systems. Numerous practical machine learning applications have been investigated in this context to support clinical decision-making, forecast disease severity and