PubMed COVID-19 Clinical Care

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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

Coronavirus Disease 2019 (COVID-19) has been linked to severe consequences among hospitalized patients diagnosed with pulmonary hypertension (PH), as evidenced by a limited number of studies. Our retrospective study employed the National Inpatient

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CONCLUSIONS: This study can allow a ship's doctor to better understand the viral dynamics in case of a COVID- 19 cluster and to anticipate the exit of the crisis. Repeated tests during the active phase of the epidemic are necessary in case of a large