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50 articles for “Alzheimer's Disease”
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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 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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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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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
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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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Engineering Anti-Tau Monoclonal Antibodies for Alzheimer’s Disease and Parkinsonian Tauopathies: A Biotechnological Perspective
Abstract: Neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease are characterized by progressive neuronal loss associated with abnormal protein aggregation. Among these, tauopathies are defined by the accumulation of hyperphosphorylated tau protein, which plays a central role in disease progression. Advances in biotechnology have enabled the development of anti-tau monoclonal antibodies (mAbs) as promising therapeutic agents aimed at neutralizing pathological tau species and inhibiting their propagation. This review provides a …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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An Integrated Study to Extrapolate the Interaction of NMDAR with Potential Ligands for the Treatment of Alzheimer’s Disease Symptoms
Abstract: Objective: Alzheimer’s disease (AD) is the most common neurodegenerative disease affecting the health status of older adults especially those above the age of 60 years. As an outcome, two types of medications have been developed for the treatment of its symptoms which are acetylcholinesterase (AChE) and N-methyl-D-aspartate receptor (NMDAR) antagonist. This paper uses the computational approach to understand the interaction of NMDAR with four major phytocompounds (curcumin, L-epicatechin, ginsenosides, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · 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 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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Alzheimer’s Disease Classification Based on Transfer Learning of New-CNN Model
Abstract: The long-term, irreversible brain disorder “Alzheimer’s disease (AD)” currently has no known cure. Nonetheless, current medications may impede their advancement. Globally, those over 65 are the primary population affected by Alzheimer’s disease. Accurate detection of this condition requires early diagnosis. Because there are so many people who come with an ailment, manual diagnosis by health specialists is laborious and prone to error. Early detection of AD is a difficult undertaking …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 16–23 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Identification of Promising Lead Compounds from Capsicum annuum Targeting BACE-1 for Alzheimer’s Disease Therapy: A Molecular Docking Study
Abstract: Background: Alzheimer's disease (AD) is a neurodegenerative disorder affecting millions of people worldwide. Beta-secretase 1 (BACE-1) is an important therapeutic target for AD treatment. Capsicum annuum (CA) is a commonly consumed plant with potential neuroprotective properties. In this study, we aimed to identify potential lead compounds from CA that can target BACE-1 for AD therapy using molecular docking. Methods: A library of 15 compounds from CA was obtained from PubChem, …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 1, 2023 · pp. 40–49 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 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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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 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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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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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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Non-Enzymatic Glycation in Alzheimer’s and Parkinson’s Disease: A Molecular Approach to Pathology and Recent Advances
Abstract: Non-enzymatic glycation, a biochemical process by which reducing sugars spontaneously bind to proteins, leads to the formation of advanced glycation end-products (AGEs), which have emerged as critical contributors to the pathogenesis of several neurodegenerative diseases, particularly Alzheimer’s disease (AD) and Parkinson’s disease (PD). The accumulation of AGEs can significantly alter protein structure, stability, and function, triggering a cascade of detrimental effects, including increased oxidative stress, heightened neuroinflammation, and the promotion …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 36–41 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