Elsevier,
Translational Autoimmunity, Autoimmune Diseases in Different Organs, Volume 4 in Translational Immunology, 2022, Pages 309-331
This chapter aligns with the SDG goal 3 of good health and wellbeing by examining current efforts to treat patients who do not adequately respond to standard immunosuppressive treatments as well as to find novel noninvasive biomarkers that can reliably substitute liver histology in assessing liver fibrosis and in predicting hard long-term outcomes.
Elsevier,
Sustainable Energy Transition for Cities, 2022, Pages 19-29
This book chapter advances SDGs 13, 7, and 11 by explaining how to promote the transition toward future cities models based on efficient resource consumption and effective implementation of neutral circular economy urban strategies.
Elsevier,
Miguel Amado, Francesca Poggi, Chapter 1 - Cities Evolution, Editor(s): Miguel Amado, Francesca Poggi, Sustainable Energy Transition for Cities, Elsevier, 2022, Pages 1-17, ISBN 9780128242773, https://doi.org/10.1016/B978-0-12-824277-3.00002-5.
This chapter advances UN SDG goals 11, 13, and 7 by discussing the Smart City potential for contributing to the reduction of external dependence on fossil fuels and the promotion of renewable energy sources and the mitigation of environmental impacts and effects of climate change.
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.
