PubMed COVID-19 Clinical Care

No abstract

We provide an updated review of pre-selected RNA viruses causing ocular inflammation in humans. RNA viruses such as coronaviruses and arboviruses are reviewed elsewhere. A Google Scholar search was conducted to identify recent publications on ocular

CONCLUSIONS: ACPO is an infrequent complication in patients with COVID-19. It occurs especially in patients with critical condition, who require prolonged stays in intensive care and multiple pharmacological treatments. It is important to recognize

CONCLUSIONS: Digital health literacy is a key to seeking health information online for appropriate decision-making. Increasing internet access, and providing ICT training, and integrate it into the health information revolution agendas, helping to

CONCLUSIONS: Improved adherence to most psychotropic medications in the 9 months after public health restrictions were enacted was observed. Patients who were already adherent to their psychotropic medications were less likely to discontinue them

Autism spectrum disorders are more prevalent in children who are Deaf or Hard of Hearing (D/HH) than in the general population. This potential for diagnostic overlap underscores the importance of understanding the best approaches for assessing autism

Tourism contributes to groundwater pollution, but quantifying its exact impact is challenging due to the presence of multiple pollution sources. However, the COVID-19 pandemic presented a unique opportunity to conduct a natural experiment and assess

CONCLUSION: COVID-19 patients were more likely to present with ILI than atypical features. Co-infection with Adenovirus was most common. Age more than 60 years, SOFA score more than or equal to four and WHO critical severity score were independent

The COVID-19 pandemic caused several educational challenges. Conducting laboratory experiments was an uphill task during the pandemic. Here, we developed a low-cost and reliable home-based experimental setup to teach column and thin layer

Evolutionary algorithms have been successfully employed to find the best structure for many learning algorithms including neural networks. Due to their flexibility and promising results, Convolutional Neural Networks (CNNs) have found their