PubMed COVID-19 Clinical Care

CONCLUSIONS: Our study demonstrates that AutoML models based on CT images can be used to identify asymptomatic carriers. The most promising model for clinical implementation is the DNN-algorithm-based model.

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Background The COVID-19 pandemic has highlighted the critical importance of understanding factors that impact outcomes for intensive care unit patients, especially those necessitating mechanical ventilation. This study aims to examine the influence

An AI-empowered indoor digital contact-tracing system was developed using a centralized architecture and advanced low-energy Bluetooth technologies for indoor positioning, with careful preservation of privacy and data security. We analyzed the

Amidst the recent coronavirus disease 2019 (COVID-19) pandemic, respiratory system research has made remarkable progress, particularly focusing on infectious diseases. Lung organoid, a miniaturized structure recapitulating lung tissue, has gained

The COVID-19 pandemic provided an opportunity to understand the experiences of different cultures and the application of preventive measures during a pandemic. That understanding can lead to the development of important evidence to grasp the global

CONCLUSION: The ACTT risk profile identifies a subgroup of hospitalized patients who benefit most from baricitinib treatment and captures a patient phenotype of treatment response to an immunomodulator and an antiviral. Changes in ALC and ANC

In Aotearoa/New Zealand (NZ), the Indigenous Māori population have been more severely impacted than non-Māori throughout the COVID-19 pandemic, and less well served by NZ's COVID-19 response. This case-study describes an innovative Indigenous-led

Identification and sharing of lessons is a key aspect of emergency preparedness, resilience and response (EPRR) activity in the national health service (NHS) in England (NHS England, 2022). The overall intent of the lessons identification and

A 66-year-old male presented with renal dysfunction. At the time of presentation, his serum creatinine (sCr) was 2.55 mg/dL, estimated glomerular filtration rate (eGFR) was 20.93 ml/min/1.73 m², urinary red blood cell (RBC) was 30-49/high power field