PubMed COVID-19 Clinical Care

CONCLUSION: Since 80% of our patients had exposure to coronavirus, a potential relationship might be suggested between the two. Furthermore, as we witnessed in one case, urgent endoscopic investigation in immunocompromised patients presenting with

CONCLUSION: Since 80% of our patients had exposure to coronavirus, a potential relationship might be suggested between the two. Furthermore, as we witnessed in one case, urgent endoscopic investigation in immunocompromised patients presenting with

CONCLUSION: Since 80% of our patients had exposure to coronavirus, a potential relationship might be suggested between the two. Furthermore, as we witnessed in one case, urgent endoscopic investigation in immunocompromised patients presenting with

Nutritional imbalance in adolescent girls causes alterations in health, reproductive cycles, and fetal outcomes of future generations. To evaluate the dietary pattern and prevalence of inadequate nutrient intake, a 24-hour multi-step food recall was

KEY CLINICAL MESSAGE: During disasters, multiple factors can cause significant delays in medical visits. Regular patient monitoring, high-risk individual alerts, and telemedicine enhancements can potentially alleviate these issues and ensure timely

CONCLUSION: Data presented in this study indicated the need for continuous identification and characterization of MERS-CoV to monitor virus circulation in the region, which is necessary to develop effective control measures. The mutations described

The SARS-COV-2 infection-related severe illness is prevented by vaccinations. Therefore, it is relevant to report a case of post vaccine meningoencephalitis in a 30 year old male Indian patient, who presented with weakness in all the extremities

No abstract

Characterization of host genetic factors contributing to COVID-19 severity promises advances on drug discovery to fight the disease. Most genetic analyses to date have identified genome-wide significant associations involving loss-of-function

SUMMARY: We describe the problem of computing local feature attributions for dimensionality reduction methods. We use one such method that is well established within the context of supervised classification-using the gradients of target outputs with