PubMed COVID-19 Clinical Care

Anger is an emotional state that occurs when unexpected things happen to or around oneself and is "an emotional state that varies in intensity from mild irritation to intense fury and rage." It is defined as "a strong feeling of displeasure and

Introduction With waiting list time increasing in all specialties in the aftermath of the COVID-19 pandemic, it is vital to make sure that patients are receiving treatment in an appropriate setting. Most oral surgery undertaken in secondary care

Background Telehealth practice in the ambulatory care pharmacy setting has seen extensive expansion because of the COVID-19 pandemic. Historically, evaluations of pharmacy-driven telehealth services have shown positive patient outcomes and high

CONCLUSION: Pregnant women with COVID-19 mainly experienced mild symptoms, but those with risk factors were at a higher risk of developing severe symptoms. Therefore, treatment and follow-up management should be thoroughly implemented.

Supervised machine learning (ML) methods have been used to predict antibody responses elicited by COVID-19 vaccines in a variety of clinical settings. Here, we explored the reliability of a ML approach to predict the presence of detectable

Diabetes mellitus (DM) is one of the most common chronic metabolic disorders worldwide, which increases the risk of common and opportunistic infections. Following the coronavirus disease 2019 (COVID-19) pandemic, a higher incidence rate, more severe

Hypoxia is a common hallmark of human disease that is characterized by abnormally low oxygen levels in the body. While the effects of hypoxia on many small molecule-based drugs are known, its effects on several classes of next-generation medications

Antiandrogens may carry a potential benefit as a therapeutic agent against COVID-19. However, studies have been yielding mixed results, thus hindering any objective recommendations. This necessitates a quantitative synthesis of data to quantify the

In recent years, there have been several solutions to medical image segmentation, such as U-shaped structure, transformer-based network, and multi-scale feature learning method. However, their network parameters and real-time performance are often

This study evaluates the association between antivirals (Molnupiravir and Nirmatrelvir-Ritonavir) and all-cause and respiratory mortality and organ dysfunction among high-risk COVID-19 patients during an Omicron outbreak. Two cohorts, Nirmatrelvir