PubMed COVID-19 Clinical Care

Traditional machine learning (ML) approaches learn to recognize patterns in the data but fail to go beyond observing associations. Such data-driven methods can lack generalizability when the data is outside the independent and identically distributed

Even after recovery from the COVID-19 infection, there have been a multitude of cases reporting post-COVID neurological symptoms including memory loss, brain fog, and attention deficit. Many studies have observed localized microstructural damages in

The pneumonia outbreak caused by Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) infection poses a serious threat to people worldwide. Although vaccines have been developed, antiviral drugs are still needed to combat SARS-CoV-2 infection due to the

CONCLUSIONS: The COVID-19 pandemic necessitated major changes in the cervical cancer preventive strategies, where it can already be concluded that the strategy with organized primary self-sampling for HPV has resulted in a major improvement of

Acinetobacter baumannii is a significant cause of infections in the healthcare setting. More recently, A. baumannii has been a leading cause of secondary bacterial pneumonia in patients infected with SARS-CoV-2 and the overall frequency of A

CONCLUSIONS: This novel study provides a qualitative exploration of the perspectives and experiences of people affected by BD, shared in the anonymous and accessible online community of Reddit. The study found that people impacted by an illness seek

CONCLUSIONS: Select stressors were linked to increased drinking through greater mental distress, with differential risks across Black versus White students. Findings suggest campus administrators should focus on connecting students with resources (e

Nurses, often considered the backbone of global health services, are disproportionately vulnerable to COVID-19 due to their front-line roles. They conduct essential patient tests, including blood pressure, temperature, and complete blood counts. The

CONCLUSIONS: Positive perceptions of trust and privacy can be fostered through clear communication regarding the need and motives for CT apps, the level of control citizens maintain, and measures to limit invasive data practices. By engendering these

CRISPR-mediated aptasensors have gained prevalence for detecting non-nucleic acid targets. However, there is an urgent need to develop an easily customizable design to improve the signal-to-noise ratio, enhance universality, and expand the detection