This Article supports SDG 3 by highlighting the benefits of equipping a wider (non-specialist) workforce to deal with the demands of population screening for rare diseases such as spinal muscular atrophy through education programmes and access to expert opinions.
Mitigating global warming is the responsibility of all countries. Moreso, the role of forests in sequestrating carbon is very crucial. Most environmental organizations are active in protecting the environment according to their objectives. This paper investigates the relationship between institutional freedom and forest carbon sinks by using a panel threshold model with 139 countries to verify the U-shaped relationship between forest carbon sinks and economic development. The U-shaped curve between forest carbon sinks and economic development is the same as the environmental Kuznets curve.
This paper supports SDG 3 by analysing the current national action plans of ten ASEAN countries and their alignment with the Global Action Plan on antimicrobial resistance, highlighting five key themes: policy design, implementation tools, monitoring and evaluation, sustainability, and One Health engagement.
This book chapter advances SDG #3 and #10 by providing therapeutic strategies that can be employed in clinical trials for AD in DS will be discussed as well as their underlying scientific rationale.
This book chapter advances SDG #3 and #10 by providing a brief history of PET imaging and the radiotracers that have had a significant impact for measuring the three signature AD-related neuropathologies related to AD and provides an overview of the research utilizing PET imaging in the DS population
This book chapter advances SDG #3 and #10 by discussing the advantages of performing genetic studies in people with DS, and then discussing the role of reported genes that are known to be associated with AD risk in adults with DS or in the general population. It also discusses how future longitudinal multiomic and imaging study can enhance our understanding of the biology of AD.
Elsevier,
Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
This book chapter advances SDG #3 and #10 by discussing the operational aspects of deep learning solutions for Alzheimer’s disease, including the review of the advantages and limitations of using deep learning, and future directions on the applications of deep learning to Alzheimer’s disease.
This book chapter advances SDG #3 and #10 by systematically appraises the concepts and promising benefits of AI technology within healthcare for AD risk prediction across communities, and its possible concerns to be tackled prior to large-scale implementation.
Elsevier,
Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
This book chapter advances SDG #3 and #10 by outlining the applications of big data to Alzheimer’s disease research as well as common methods used to collect and analyze big data. It also explores how big data research could be used to treat, diagnose, and understand Alzheimer’s disease.
Elsevier,
Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
This book chapter advances SDG #3 and #10 by providing evidence that behavioral treatments are more effective than most pharmacological therapies at managing depression in Alzheimer’s disease.
