What is it about?
Age-related degeneration of the brain is an extremely common event and places a huge socio-economic burden on healthcare systems. Decades of research into age-related neurodegenerative disorders has unfortunately failed due to a poor appreciation of how these diseases start and then develop. In this paper we describe how applying new computational biology resources can help us better understand and treat these degenerative conditions.
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Why is it important?
Our research is important as the whole worlds population is gradually getting older. With this there is a huge increase in the prevalence of age-related disease such as Alzheimer's disease. Our work shed new light onto this issue by discussing how novel informatic technologies can help to unravel the complexity of these age-related diseases. Our work will hopefully therefore pave the way for the development of new treatments for neurodegenerative disease.
Perspectives
I sincerely hope this article is read and appreciated by as many people as possible who either research into or care for people with Alzheimer's disease and other age-related dementias. As a pharmacologist by training I truly believe (and hope) that this paper in some way will bring nearer a more effective treatment for this debilitating disorder.
Professor Stuart Maudsley
H. Lee Moffitt Cancer Center
Read the Original
This page is a summary of: Intelligent and effective informatic deconvolution of “Big Data” and its future impact on the quantitative nature of neurodegenerative disease therapy, Alzheimer s & Dementia, March 2018, Elsevier,
DOI: 10.1016/j.jalz.2018.01.014.
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Contributors
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