This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the evolution of chronic viral hepatitis from fibrosis, to cirrhosis, and to hepatocellular carcinoma.
This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the role of the IFITM1 protein in the hepatitis dynamics, obtaining the clearance state when overexpressed.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
A Computational Approach
2022, Pages 189-208
This research has some implications for the research community. First, an implication from our result is that there is an inverse relationship between change in mobility and COVID- 19 variables. Second, it can be observed that the implementation of stringent policy measures on different forms of mobility helped in reducing the impact of the COVID-19 pandemic; however, with the increased stringency index, there was an adverse impact on people's mental health around the globe.
Elsevier,
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
A Computational Approach
2022, Pages 1-51
This chapter provides a systematic review of the current literature investigating COVID-19's impact on mental well-being, as well as studies that explore machine learning and artificial intelligence techniques to detect and treat mental illnesses when traditional therapies are unavailable due to lockdown and social distancing norms imposed.
Background: In autoimmune hepatitis (AIH), clinical practice and treatment guidelines frequently diverge as a reflection of disease heterogeneity and challenges in achieving standardised care. We sought to explore the utility of multiparametric (mp) MR in patients with AIH, and the impact of this technology on physicians’ decision making and intended patient management. Methods: 82 AIH patients, recruited from two sites between June and November 2019 as part of an observational cohort study, underwent non-contrast MRI alongside their standard clinical investigations.
Background: Hepatitis C is a preventable and treatable disease that has been declared a public health problem. In 2012, the prevalence of HCV serum anti-bodies in the Mexican adult population aged 20 to 49 years was 0·30%. Methods: We randomly selected a probabilistic sub-sample of 12,389 adults (20+ years) from adults participating in the National Health and Nutrition Survey (ENSANUT) 2018 who provided a venous blood sample. Anti-HCV antibodies and HCV RNA were determined for this sub-sample.
