PubMed COVID-19 Clinical Care

CONCLUSION: Compared to the traditional lecture format that focuses on memorizing definitions and theoretical structures, instructional videos can be regarded as an innovative teaching tool and a unique medical education method that allowed students

This study focuses on the cross-cultural adaptation of the Emotional Outburst Questionnaire (EOQ) to Brazilian Portuguese and preliminarily assesses its predictive validity. The EOQ evaluates aspects of emotional outbursts (EO), including frequency

The relationship between the reasons for COVID-19 vaccine hesitancy or refusal among people with sensory disabilities and mental health conditions (MHCs) are unclear. Data from the Census Bureau's Household Pulse Survey were analyzed to examine

No abstract

CONCLUSIONS: RMG opioid dispensations were associated with reduced overdose related and all cause mortality among a sample of people with opioid use disorder. Pharmaceutical alternatives to the illegal drug supply are promising interventions to

Brain cancers, especially glioblastoma multiforme (GBM), are associated with poor prognosis due to the limited efficacy of current therapies. Nanomedicine has emerged as a versatile technology to treat various diseases, including cancers, and has

CONCLUSION: Upon discharge, 40% of SARS-CoV-2 infected patients with ischemic stroke and TIA had poor outcomes. Poor outcomes were associated with older age, IHD history, moderate to severe pneumonia, higher NIHSS scores, LVO, and higher log(10) D

Chimeric antigen receptor (CAR) T-cell therapy, an innovative immunotherapeutic against relapsed/refractory B-cell lymphoma, faces challenges due to frequent viral infections. Despite this, a comprehensive review addressing risk assessment

CONCLUSION: There was no evidence of harm associated with the combined use of Hemopure and Bioplasma FDP. No differences were noted between groups in safety-related cardiovascular, pulmonary, renal or other organ or metabolic parameters. Hemostasis

Over 200 million SARS-CoV-2 patients have or will develop persistent symptoms (long COVID). Given this pressing research priority, the National COVID Cohort Collaborative (N3C) developed a machine learning model using only electronic health record