Book chapters

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 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.

This book chapter advances SDG #3 and #10 by stressing that a population health approach and a focus on promoting equity in health and access to care are critical to reducing the risk of AD and other dementias.

This book chapter advances SDG #3 and #10 by reviewing the extant literature on autophagy in AD and covers recent progress on the molecular mechanisms of NAD+-dependent mitophagy/autophagy regulation and mechanisms underlying the anti-AD potential of NAD+. Further studies to define the NAD+-mitophagy/autophagy axis may shed light on novel therapeutics to treat AD and potentially provide insights into other neurodegenerative diseases.