PubMed COVID-19 Clinical Care

No abstract

Alternative splicing generates functional diversity in isoforms, impacting immune response to infection. Here, we evaluate the causal role of alternative splicing in COVID-19 severity and susceptibility by applying two-sample Mendelian randomization

CONCLUSIONS: This study, albeit with the limitations of a cross-sectional experimental design with self-evaluation tools in a general population sample, showed a vulnerability to COVID-19 pandemic stress due to high levels of hyper-arousal in

PURPOSE: A number of factors may contribute to disparities in mental health and suicidality for lesbian, gay, bisexual, and questioning (LGBQ) students, including parental abuse.

CONCLUSIONS: Mothers with a mild or asymptomatic COVID-19 infection at the time of the delivery were less likely to have exclusively breastfed during their hospital stay than other mothers in these BFHI-accredited hospitals. However, there were no

The COVID-19 pandemic has emerged as a worldwide public health crisis, leading to significant disruptions in societal behaviors and norms. Within the affected population, individuals with mental health disorders are considered a vulnerable group

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CONCLUSIONS: The developed BERT model was able to accurately identify COVID-19 cases among GP consultations even preceding confirmed cases. The validated efficacy of our BERT model highlights the potential of NLP models to identify disease outbreaks

CONCLUSION: Asthma was associated with a lower risk of COVID-19 infection but only during the Omicron period. Asthma was an independent risk factor for hospitalization for COVID-19 in the pre-delta period and this association was stronger for severe

This paper proposes an optimized Long Short-Term Memory (LSTM+) model for predicting cumulative confirmed cases of COVID-19 in Germany, the UK, Italy, and Japan. The LSTM+ model incorporates two key optimizations: (1) fine-adjustment of parameters