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The Role of Biomarkers in Alzheimer's Disease Progression
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Author(s): Priya Batta (Amity School of Engineering and Technology, Amity University Punjab, Mohali)and Rakhi Chauhan (Geeta University, India)
Copyright: 2025
Pages: 16
Source title:
Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers
Source Author(s)/Editor(s): Abhishek Kumar (Chandigarh University, India), S. Rakesh Kumar (GITAM University (Deemed), India), N. Gayathri (GITAM University (Deemed), India), R. Srivel (Adhiparasakthi Engineering College, India)and Dhaya C. (Adhiparasakthi Engineering College, India)
DOI: 10.4018/979-8-3693-6442-0.ch017
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Abstract
The research examines various approaches and analyses that by using a hybrid approach for Alzheimer's disease diagnosis, the early detection and efficiency can be achieved. The important neuroimaging methods that provide deep knowledge of the structure and function of the brain include PET scans, structural MRIs, and functional MRI. The main symptoms of biomarkers from blood and brain fluid samples are the beta-amyloid and tau proteins. In order to improve the accuracy and treatment of disease, these techniques along with various machine learning models can be used. The study shows that by using a hybrid framework Alzheimer's disease diagnosis and treatment can be done in well-organized manner.
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