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90 articles for “Alzheimer”
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A Comprehensive Analysis of Alzheimer’s Disease
Abstract: Alzheimer's disease, the most prevalent form of dementia, is a progressive neurological disorder characterized by cognitive decline, particularly in memory function. The condition manifests in two primary forms: familial Alzheimer’s disease, affecting individuals under the age of 65 years, and sporadic Alzheimer’s disease, which constitutes the majority of cases and primarily afflicts adults aged 65 years and older. The prevalence of Alzheimer’s disease is influenced by various factors, such as …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 2, 2023 · pp. 26–32 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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Alzheimer: A Neurological Disorder
Abstract: The Alzheimer is a disease; it bases a steady damage of recollection, thinks and prepares your everyday actions. The causes of Alzheimer is genetics, plaques are originated between the fading cells in the mind etc. The symptom of Alzheimer is depended on the change of mood, personality and time. The precaution of around epidemiological suggestion to recommend that important a healthy routine can decrease the danger of Alzheimer's syndrome. Systematic …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 1, 2017 · pp. 1–3 Read article
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COMPREHENSIVE APPROACHES TO UNDERSTANDING AND MANAGING ALZHEIMER’S DISEASE
Abstract: Alzheimer’s disease is an advanced neurodegenerative disorder described by intense memory loss. It strictly affects the patient’s quality life. The popularity of AD has been increasing in recent years. It is the most common form of mental disorder affecting more than 20 million people in the world. The Alzheimer’s disease is treated with cholinesterase inhibitors or NMDA-receptor (N-methyl D-aspartate) antagonists but here the question is about the therapeutic effect of …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 1–9 Read article
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Study on Chemical Insights into Alzheimer's Disease: Amyloid Beta and Tau Protein Interactions
Abstract: Background: Alzheimers disease (AD) is the most prevalent form of dementia, affecting millions of individuals worldwide and posing significant challenges to healthcare systems. The disease is characterized by a gradual decline in cognitive functions, particularly memory, reasoning, and the ability to perform daily activities. Aim & objective: To study chemical insights in alzheimers disease, especially amyloid beta and tau protein interactions Results & discussion: The results of this review highlight …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 37–46 Read article
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Samelisant, an H3 Receptor Agonist as an Anti-Alzheimer Potential – A Pilot Study on Molecular Docking
Abstract: Neurodegenerative diseases have become more prevalent and about 55 million of the population are affected by dementia globally. One of the most important neurodegenerative diseases is Alzheimer’s disease which is known for its effect on memory and cognitive impairment. Alzheimer’s disease (AD) is an area of intense scientific investigation due to its high prevalence and the lack of a definitive cure. Amyloid precursor protein plays a central role in Alzheimer’s …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 24–31 Read article
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Cognitive Impairment in Alzheimer’s Disease
Abstract: Alzheimer's disease (AD) is a condition that leads to the deterioration of brain cells and is the primary cause of dementia, characterized by a decline in autonomy and cognitive function in day-to-day activities. The cholinergic hypothesis and the amyloid hypothesis are the two main theories proposed to explain AD's multifaceted nature. Characterized by a decline in autonomy and cognitive function in day-to-day activities. The cholinergic hypothesis and the amyloid hypothesis …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Exploring the Connection between Mindfulness and Alzheimer's Disease/Parkinson's Disease: A Systematic Review and Meta-Analysis.
Abstract: Alzheimer's disease and Parkinson's disease have serious effects on patients and their families, yet there are no known treatments to slow the progression of these diseases. Non-pharmacological treatments for these problems, like yoga and meditation, have begun to gain popularity. The purpose of this meta-analysis and systematic review was to examine the relationship between yoga and mindfulness meditation and Alzheimer's and Parkinson's disease, as well as their potential to help …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 2, 2023 · pp. 1–9 Read article
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Carbon Nanotubes: Revolutionizing Noval Drug Delivery Approach for Alzheimer's Disease
Abstract: The objective of the review was to comprehensively study the application of nanotechnology and investigate the potential of carbon nanotubes in serving as a drug delivery system to improve the condition of Alzheimer's disease. Alzheimer's disease, characterized as an irreversible and progressive cerebral disorder, presents clinical manifestations such as dementia, cognitive decline, altered personality, impaired motor function, confusion, and diminished cognitive planning. The neurodegenerative processes inherent in Alzheimer's disease stem …
Published in Trends in Drug Delivery · Vol. 10, Issue 3, 2023 · pp. 10–15 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Role of Centella asiatica in Alzheimer’s Disease: A Comprehensive Review
Abstract: Alzheimer's disease (AD) is a progressive neurological illness that causes cognitive decline and memory loss and affects millions of people worldwide. As synthetic medications often prove ineffective or cause severe side effects, natural remedies are gaining attention. This review explores the potential of Centella asiatica, a herb traditionally used in oriental medicine, in the treatment of Alzheimer's disease. Triterpenoids, asiaticoside, and madecassoside are among the bioactive substances found in Centella …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Basic Concept and Role of Memory Enhancer (Muqawwi- E-Hafiza) Unani Drugs in the Management of Alzheimer’s Disease (Nisyaan-E-Shekhukhi): A Review
Abstract: Alzheimer's disease is a neurological disorder in which the death of brain cells causes memory loss and cognitive decline, defined as a dementing illness in which anterograde amnesia is a dominant symptom and is the most common cause of Dementia in the elderly. There is no direct mention of this condition in classical Greek literature, but Alzheimer's disease is almost always associated with forgetfulness or fasaad-e-takhayy’ul. Although the etiology is …
Published in Research & Reviews : Journal of Herbal Science · pp. 21–26 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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In Silico Analysis and Docking Study of the Active Phyto Compounds of Ginkgo Biloba Against Alzheimer's Amyloid-Beta Protein
Abstract: Objective: Alzheimer's disease, an age-related progressive neurological condition, arises due to the accumulation of amyloid-beta protein within the brain. In this study, an attempt was made to explore the potential of natural compounds derived from Ginkgo, known for their diverse medicinal properties, in the prevention of the disorder by employing molecular docking techniques, conducting drug-likeness prediction assessments, and performing ADME analysis. Methods: Amyloid beta protein was retrieved from the PDB …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 · pp. 17–30 Read article
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Drugs for Alzheimer’s Disease from Salix Alba Discovered Computationally Utilizing Virtual Screening and Docking against 1b41 Protein
Abstract: Objective : The of this research is to evaluate the feasibility of using molecular docking techniques to identify novel acetylcholinesterase, a key enzyme implicated in the pathogenesis of Alzheimer’s disease, a neurodegenerative disorder with a gradual but steady progression to death, due to the gradual accumulation of beta-plaques and neurofibrillary tangles, as well as a decline in acetylcholine levels. Due to its function in converting acetylcholine into acyl and choline …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 07–19 Read article
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In vivo Modulatory Effect of Clerodendrum Splendens (Glory Blossom) in Aluminum Induced Alzheimer Diseases and Lonchocarpus Sericeus in Rotenone Induced Parkinson’s Disease on Na+/K+ Atpase (Sodium Pump) in the Cerebral Tissues of Male Albino Wister Rats
Abstract: Elegant research has shown that plants are useful for both curative and preventive purpose on the humans populous. Prevalent among diseases associated with humans are neurological diseases which affect a large sector of the population especially the elderly. The most common neurological diseases are Parkinson and Alzheimer disease which affect a large sector of the brain and also cause an imbalance in brain electrolyte. Among such electrolytic mechanisms of the …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 2, 2023 · pp. 31–36 Read article
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In Silico Analysis and Docking Study of the Active Phytocompounds of Bacopa monnieri Against Alzheimer Disease
Abstract: Objective: Alzheimer’s is a neurodegenerative disease and is the cause of 60–70% of cases of dementia. It infected a million people worldwide. An effort was undertaken to explore the potential of natural compounds found in Bacopa monnieri, a plant renowned for its extensive medicinal properties in Indian Ayurveda, to combat the disease. This was achieved through molecular docking studies, evaluation of drug-likeness, and comprehensive ADME (absorption, distribution, metabolism, and excretion) …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 1–13 Read article