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Biomarkers for Alzheimer's Disease: Early Diagnosis
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Author(s): Deepak Panwar (Max Super Speciality Hospital, Vaishali, India), Parul Sharma (Delhi Pharmaceutical Sciences and Research University, New Delhi, India), Shweta Sharma (MM Institute of Physiotherapy and Rehabilitation, Maharishi Markandeshwar (Deemed), India), Manoj Malik (Guru Jambheshwar University of Science and Technology, Hissar, India)and Jaspreet Kaur (Guru Jambheshwar University of Science and Technology, Hissar, India)
Copyright: 2025
Pages: 44
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.ch003
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Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory impairment. As the most common form of dementia, AD affects millions of individuals worldwide and poses significant challenges for diagnosis and management. Early and accurate detection of AD is critical for effective intervention and management, which has led to increasing interest in identifying and utilizing biomarkers. Biomarkers for AD include neuroimaging findings, cerebrospinal fluid (CSF) proteins, and blood-based markers. Neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET) are instrumental in visualizing structural and functional changes in the brain associated with AD. CSF biomarkers, including amyloid-beta (Aβ) plaques and tau proteins, provide valuable insights into the pathological processes underlying the disease. Recent advancements in blood-based biomarkers offer promising non-invasive alternatives for early detection.
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