PubMed COVID-19 Clinical Care

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: 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

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

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CONCLUSIONS: COVID-19 vaccination is associated with a significant change in intervals between menstrual cycles without other alterations in menstrual characteristics, in QoL or SF.

CONCLUSIONS: Given possible increases in pre-competent trainees progressing to Fellowship while alternatives to the OSCE are finalised, confidence in the RANZCP's training program demands robust public analyses of those alternatives.

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

The current study examined the idea that maternal involvement during the COVID-19 school closure period could contribute to the development of adolescents' daily routines, which could ultimately associate with their psychological and academic

The COVID-19 pandemic presents an unprecedented challenge to community wellbeing and mental health. However, quantifiable information on the extent of mental health problems and associated factors due to the pandemic is still lacking in low-income