PubMed COVID-19 Clinical Care

No abstract

CONCLUSION: The high student satisfaction and acceptance of both didactic concepts leads to the conclusion that the simulated telehealth conversation is an adequate substitute for the simulation of a traditional face-to-face conversation with regard

CONCLUSIONS: DecodeME participants differ in symptoms, comorbid conditions and/or illness severity when stratified by their sex-at-birth and/or infection around the time of ME/CFS onset.

This study aimed to evaluate the effect of COVID-19 outbreak on stroke admission by using a national database. A quasi-experimental, ecological study using the national database of Thailand was conducted. The study period was between January 2017 and

Coronaviral disease 2019 (COVID-19) is a recent pandemic disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, there are still cases of COVID-19 around the world that can develop into persistent symptoms after

The etiological agent of tuberculosis (TB), Mycobacterium tuberculosis, is a deadly pathogen that adapts to thrive within the host. Since 2020, the COVID-19 pandemic has had colossal health, societal, and economic consequences, which have affected

CONCLUSION: Overall, clinicians were supportive of the virtual models although patient safety issues were raised that need to be addressed in the development of future services. The results from this study may inform improvements in medication safety

OBJECTVES: The Remote Diet Intervention to Reduce Long COVID Symptoms Trial (ReDIRECT) evaluates whether the digitally delivered, evidence-based, cost-effective Counterweight-Plus weight management programme improves symptoms of Long COVID in people

CONCLUSION: Despite the COVID-19 pandemic, the home-PR programme proved feasible for remote delivery, although centre-based post-PR assessments were not possible. Family involvement played an important role in the home-PR programme. The delivery of

Small-molecule conformer generation (SMCG) is an extremely important task in both ligand- and structure-based computer-aided drug design, especially during the hit discovery phase. Recently, a multitude of artificial intelligence (AI) models tailored