Abstract
Epidemiologic studies have provided important clues about the etiology, prognosis and options for prevention and treatment of AD, and sub-clinical changes in cognition and brain structure. A brief review is given of what we have learned from epidemiologic studies of risk factors and natural history. This is followed by a discussion of how these findings could inform the design of basic research strategies that may further the translation of bench science to the clinic and public health arena.
Keywords: cardiovascular risk factors, Diabetes, magnetic resonance images, CNS, cognitive impairment
Current Alzheimer Research
Title: Next Steps in Alzheimers Disease Research: Interaction between Epidemiology and Basic Science
Volume: 4 Issue: 2
Author(s): Lenore J. Launer
Affiliation:
Keywords: cardiovascular risk factors, Diabetes, magnetic resonance images, CNS, cognitive impairment
Abstract: Epidemiologic studies have provided important clues about the etiology, prognosis and options for prevention and treatment of AD, and sub-clinical changes in cognition and brain structure. A brief review is given of what we have learned from epidemiologic studies of risk factors and natural history. This is followed by a discussion of how these findings could inform the design of basic research strategies that may further the translation of bench science to the clinic and public health arena.
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Cite this article as:
Launer J. Lenore, Next Steps in Alzheimers Disease Research: Interaction between Epidemiology and Basic Science, Current Alzheimer Research 2007; 4 (2) . https://dx.doi.org/10.2174/156720507780362155
DOI https://dx.doi.org/10.2174/156720507780362155 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
Call for Papers in Thematic Issues
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Neuroinflammation is an invariable hallmark of chronic and acute neurodegenerative disorders and has long been considered a potential drug target for Alzheimer?s disease (AD) and dementia. Significant evidence of inflammatory processes as a feature of AD is provided by the presence of inflammatory markers in plasma, CSF and postmortem brain ...read more
Deep Learning for Advancing Alzheimer's Disease Research
Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
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Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...read more
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