Background Numerous prognostic scores have been published to support risk stratification
for patients with coronavirus disease 2019 (COVID-19). Methods We performed a systematic …

The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology.
With the development of newer models, AI applications are demonstrating improved …

Precision medicine (PM), through the integration of omics and environmental data, aims to
provide a more precise prevention, diagnosis, and treatment of disease. Currently, PM is …

Introduction The two-stage molecular profile of the progression of SARS-CoV-2 (SCOV2)
infection is explored in terms of five key biological/clinical questions:(a) does SCOV2 …

Objectives To systematically evaluate the performance of COVID-19 prognostic models and
scores for mortality risk in older populations across three health-care settings: hospitals …

RESULTS: A total of 96,908 admissions occurred during the study period, of which 59,897
were in the Veteran sample and 37,011 were in the non-Veteran sample. During external …

Background: Patients aged 80 years and above are at increased risk for severe COVID-19
outcomes. This study aimed to evaluate the prognostic utility of the derived neutrophil-to …

In the fight against the COVID-19 pandemic, leveraging artificial intelligence to predict
disease outcomes from chest radiographic images represents a significant scientific aim …

Studies of acute and post-acute COVID-19 were presented at the 2023 Conference on
Retroviruses and Opportunistic Infections (CROI). Early treatment with ensitrelvir, a novel …

Background Cardiometabolic diseases are risk factors for COVID-19 severity. The extent that
cardiometabolic health represents a modifiable factor to mitigate the short-and long-term …