PubMed COVID-19 Clinical Care

Electrocardiogram (ECG) signals are frequently used in the continuous monitoring of heart patients. These recordings generate huge data, which is difficult to store or transmit in telehealth applications. In the above context, this work proposes an

Artificial intelligence (AI) speeds up the drug development process and reduces its time, as well as the cost which is of enormous importance in outbreaks such as COVID-19. It uses a set of machine learning algorithms that collects the available data

CONCLUSIONS: There is a need to improve ED mental health care delivery, with a focus on timely access to ED mental health providers. Access to outpatient/community-based mental health care is needed to complement care received in the ED and to

CONCLUSIONS: We delineate a cycle wherein a daily increase in media consumption results in a subsequent increase in COVID-related worries, which in turn increases daily media consumption. Moreover, the adverse impact of news extended to broader

CONCLUSION: Nurses with different basic data have different risk cognition and risk emotions. Different psychological needs should be considered, and targeted multi-sectoral psychological intervention services should be provided to help prevent

COVID-19 inactivated vaccine-induced humoral responses in patients with lung cancer (LCs) to SARS-CoV-2 wild-type (WT) strain and variants BA.4/5 after the primary 2-dose and booster vaccination remained unknown. We conducted a cross-sectional study

The COVID-19 pandemic has had profound mental and behavioral health implications for the general U.S. population. However, little is known regarding outcomes for U.S. veterans, who represent a population with high rates of depression, stress, and e

Rapid and accurate detection of a variety of pathogens is very important for the prevention, control, and diagnosis of infectious diseases. Herein, an ultrasensitive nucleic acid isothermal cascade amplification technique based on rolling circle

Public health campaigns have turned to the Health Belief Model (HBM) as a guiding framework for the past six decades. Carpenter's 2010 HBM meta-analysis revealed important shortcomings as well as a path forward that has largely been ignored by recent

Remdesivir has been widely used for the treatment of Coronavirus (COVID) in hospitalized patients, but its nephrotoxicity is still under investigation¹. Given the paucity of knowledge regarding the mechanism and optimal treatment of the development