Machine learning model demonstrates superior screening efficiency for Hepatitis C virus carriers
1. Dagan and colleagues developed machine learning (ML) models using retrospective patient data to identify potential hepatitis C virus (HCV) ...
1. Dagan and colleagues developed machine learning (ML) models using retrospective patient data to identify potential hepatitis C virus (HCV) ...
1. The prevalence of Hepatitis C infection during pregnancy increased between 1998 and 2018, coinciding with the opioid epidemic. 2. ...
1. The prevalence of Hepatitis C infection during pregnancy increased between 1998 and 2018, coinciding with the opioid epidemic. 2. ...
1. Hepatitis C patients with undetectable hepatitis C virus (HCV) RNA had reduced liver disease burden compared to those with ...
1. In patients with hepatitis C virus who recently injected drugs, 67% in the accessible care arm vs 23% in ...
1. A retrospective, cross-sectional study including all pregnancies in the United States between 2009 and 2019 found that the annual ...
1. In this phase 1-2 clinical trial, an adenovirus viral vector expressing non-structural hepatitis C proteins was safe in a ...
1. The rate of hepatitis C virus (HCV) transmission from nucleic acid amplification testing (NAT)-negative donor hearts is low, and ...
Association of prehospital plasma transfusion with survival in trauma patients with hemorrhagic shock when transport times are longer than 20 ...
The opioid epidemic has been associated with rising hepatitis C virus (HCV) infection incidence in North America among those who ...
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