PubMed COVID-19 Clinical Care

CONCLUSIONS: No statistically significant differences were observed between the two groups (A and B) considering: intracranial hypertension, presence of Cryptococcus antigens in cerebrospinal fluid, sensorium deterioration or mortality. The detection

SARS-CoV-2 continues to threaten human society by generating novel variants via mutation and recombination. The high number of mutations that appeared in emerging variants not only enhanced their immune-escaping ability but also made it difficult to

We read with interest the article by Camargo-Coronel et al. reporting on a systematic review of patients with idiopathic, inflammatory myopathy developing after anti-SARS-CoV-2 vaccinations.

The phenomenon of "quiet quitting" has gained significant attention globally through various platforms, raising concerns about the impact of workplace stress on individuals' personal lives and sparking social movements and investigations. As the

The aim of the study was to evaluate the frequency and characteristics of mixed (multiple-genotype) Helicobacter pylori infections (MGIs) in 155 Bulgarian symptomatic patients (21 children and 134 adults). MGIs were common (36.1%), including double

Mechanistic model-based simulations can be deployed to project the persistence of humoral immune response following vaccination. We used this approach to project the antibody persistence through 24 months from the data pooled across five clinical

CONCLUSIONS: The ML algorithms seem to be an effective method in early detection and prediction of food insecurity and can profoundly aid policymaking. The integration of ML approaches in public health strategies could potentially improve the

Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image

CONCLUSIONS: We demonstrated comprehensive observations and predictions of the COVID-19 outbreak in 187 countries using a comprehensive modeling method. The methods proposed in this study can measure COVID-19 development from multiple perspectives

The COVID-19 pandemic brought not only global devastation but also an unprecedented infodemic of false or misleading information that spread rapidly through online social networks. Network analysis plays a crucial role in the science of fact-checking