PubMed COVID-19 Clinical Care

CONCLUSIONS: The COVID-19 pandemic affected the lifestyle of the current study population. To prepare for future outbreaks, real-world information should be collected and shared so that effective measures for health promotion can be developed.

The COVID-19 pandemic has impacted the world that was not previously conceivable. In early 2020, hospitals on all continents were overwhelmed with patients afflicted with this novel virus, with unanticipated mortality worldwide. The virus has had a

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Federated Learning (FL) is an emerging distributed learning paradigm which offers data privacy to contributing nodes in the collaborating environment. By exploiting the Individual datasets of different hospitals in FL setting could be used to develop

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Coronavirus disease (COVID-19) often causes persistent symptoms long after infection, referred to as "long COVID" or post-acute COVID-19 syndrome (PACS). This phenomenon has been studied primarily concerning B-cell immunity, while the involvement of

Multiple sclerosis (MS) is an immune-mediated disease of the central nervous system, characterized by chronic, inflammatory, demyelinating, and neurodegenerative processes. MS management relies on disease-modifying drugs that suppress/modulate the

Analyzing massive VAERS reports without medical context may lead to incorrect conclusions about vaccine adverse events (VAE). Facilitating VAE detection promotes continual safety improvement for new vaccines. This study proposes a multi-label