This study investigated antiviral effects in a real-world cohort of non-cirrhotic CHB patients with varying degrees of HS, assessed by transient elastography (TE) with controlled attenuation parameter (CAP).
The present article reviews the role of necroptosis, as a novel cell death pathway, in Aluminium-induced Alzheimer’s disease models in vitro and in vivo.
This study aims to develop novel prognostic models based on the dynamic changes in variables to predict the short-term mortality of HBV-associated ACLF (HBV-ACL)
Systematic review on Global outbreaks of foodborne hepatitis
This Article supports SDG 3 by assessing the prevalence of hepatitis B, C, and delta virus in French Polynesia. The findings suggest that the HBV vaccination policy is effective and that HCV and HDV have very low levels of transmission, although some areas did have higher HBV prevalence, warrenting improved vaccine coverage and awareness.
This Article supports SDG 3 by arguing that people under community correction supervision (probation or parole) are a large population of individuals at risk of viral hepatitis, to whom little attention has thus far been paid. Targeting hepatitis testing and treatment services at this population would be feasible and effective in reducing hepatitis incidence.
The study forecasts AI-based innovation's impact on SDGs in 22 countries from 2022 to 2030 using System Dynamics Modeling. In most of the 22 countries studied, AI-based innovation positively affects SDGs 1, 3, and 5. For half of the countries studied, AI-based innovation positively influences SDGs 2, 4, 6–8, 11, 13, and 16–17. AI-based innovation does not positively influence SDGs 10, 12, 14–15 for most countries studied.
This article ties to SDG3 by examining climate potential of cycling
This primary research Article looks at the effects of being able to access community perinatal mental health teams compared with living in regions where those teams were not available. The study found that, among women with a pre-existing mental disorder, the availability of community perinatal mental health teams reduced the post-natal risk of acute relapse and increased the use of secondary mental health care.
In support of SDG 3, the authors present a student mental health support system, based on artificial intelligence and big data analysis. The system designed through the research aims to provide a personalized mental health support and guidance resource for students, who face increasing psychological pressure in today's society. The system also provides effective mental health monitoring and support tools for ongoing mental health promotion activities in educational settings.