Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/3801
Title: Reduce the risk of dementia; Early diagnosis of Alzheimer’s disease
Authors: Jakhmola, Shweta
Jha, Hem Chandra
Keywords: Artificial intelligence;Biomarkers;Brain;Cerebrospinal fluid;Diagnosis;Disease control;Electrophysiology;Signal processing;Alzheimers disease;Early diagnosis;Electro-physiological methods;Mild cognitive impairments;Mortality rate;Neurodegeneration;Physiopathology;Predisposing factors;Neurodegenerative diseases
Issue Date: 2019
Publisher: Springer Verlag
Citation: Jakhmola, S., & Jha, H. C. (2019). Reduce the risk of dementia; early diagnosis of Alzheimer’s disease doi:10.1007/978-981-13-0923-6_53
Abstract: Alzheimer’s Disease (AD) is the most prevalent form of dementia. Till date, no cure for AD has been reported. Multiple therapies have been developed to reduce the progression of the disease. The physiopathology of AD starts before the disease appears. This interval thrills intervention for early diagnosis of AD. However, mechanisms that lead to AD are not revealed yet. Hence, analysis of certain predisposing factors needed to explore. These includes assessment of biomarkers through, genetics, cerebrospinal fluid analysis, imaging techniques, and electrophysiological methods. Early diagnosis would allow maximum benefit of the treatment to the affected people and prepare individuals well in advance to prevent this disorder. Further, it would reduce the mortality rates, economic and social burden caused due to AD. Although, the search for new qualified biomarkers and refinements in the health care techniques are urgently needed. Nevertheless, it would prove to be an important indicator of the disorder. © Springer Nature Singapore Pte Ltd 2019.
URI: https://doi.org/10.1007/978-981-13-0923-6_53
https://dspace.iiti.ac.in/handle/123456789/3801
ISBN: 9789811309229
ISSN: 2194-5357
Type of Material: Conference Paper
Appears in Collections:Department of Biosciences and Biomedical Engineering

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