This book chapter advances SDG 3 and 10 by exploring the gap within research literature in which the intersectional complexities of South Asian Muslims lie by examining the historical and geopolitical contexts of South Asian Muslim experiences in the United States. This chapter discusses the ways in which contemporary South Asian Muslim American experiences are further complicated when navigating additional marginalized identities such as gender and sexual orientation, age and generational influences, disability status, class, and national origin.
Elsevier,
Community Mental Health Engagement with Racially Diverse Populations, May 2020, Pages 15-48
This book chapter advances SDG 3 and 10 by discussing the issues currently driving mental healthcare disparities in the Latinx population and how these approaches can provide a viable way to reduce them.
Diseases of the Nervous System (Second Edition), 2021, Pages 81-107
This book chapter advances SDG #3 and #10 by introducing the basic foundation of aging, dementia and Alzheimer Disease, including clinical presentation, diagnosis and epidemiology.
In this article, we seek to draw upon a variety of multidisciplinary datasets that are yet to be compiled in a peer-reviewed publication, to support growing movements looking to re-cast the forests of the Wet Tropics as cultural landscapes as well as purely “primitive” Gondwanan remnants.
This study supports SDG 3 and 10 by reporting that Māori and Pacific people with type 2 diabetes have consistently poorer health outcomes than European patients, indicating the need for specific policies and interventions to better manage type 2 diabetes in these subpopulations.
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.
