PubMed COVID-19 Clinical Care

Insufficient annotated data and minor lung lesions pose big challenges for computed tomography (CT)-aided automatic COVID-19 diagnosis at an early outbreak stage. To address this issue, we propose a Semi-Supervised Tri-Branch Network (SS-TBN). First

CONCLUSIONS: The Comprehensive Endoscopy Satisfaction Tool is a valid measure for the patient experience with the various components of endoscopic services, allows for the identification of domains that impact on the patient experience and is a

Globally, COVID-19 vaccines have emerged as a boon, especially during the severe pandemic phases to control the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, saving millions of lives. However, mixed responses to

Several viruses have been shown to modulate the transcription factor nuclear factor erythroid 2-related factor 2 (NRF2), the master regulator of redox homeostasis. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for the

Due to the global outbreak of COVID-19 and its variants, antiviral peptides with anti-coronavirus activity (ACVPs) represent a promising new drug candidate for the treatment of coronavirus infection. At present, several computational tools have been

CONCLUSION: The COVID-19 pandemic created challenges for sustainability and scale of PEWS, an ongoing QI program, in these resource-limited pediatric oncology centers. Several factors mitigated these challenges and promoted ongoing PEWS use. These

Current remote monitoring of COVID-19 patients relies on manual symptom reporting, which is highly dependent on patient compliance. In this research, we present a machine learning (ML)-based remote monitoring method to estimate patient recovery from

Objective: Psychiatric symptoms are common and bothersome in individuals with post-COVID-19 syndrome. Because they are often mixed and subthreshold, established treatment regimens cannot be applied. There is an urgent need to identify therapeutics

The purpose of the pilot survey was to understand current practice patterns and responses to the Patient-Driven Groupings Model and the coronavirus disease 2019 (COVID-19) pandemic in home health occupational therapy care. Fifty home health

Understanding predictors and effects of the COVID-19 Pandemic is a top-priority in research endeavors. The impact of COVID-19 on all components of family life and mental health cannot be overstated. This study emphasizes the need to investigate