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90 articles for “Alzheimer”
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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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Kisunla (Donanemab): A Novel Breakthrough Illuminating a Path to Better Alzheimer’s Outcomes
Abstract: Background: Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by cognitive decline, memory loss, and loss of independence. Despite decades of extensive research, disease-modifying treatments have been limited in success. Recent therapeutic advancements have led to the development of monoclonal antibodies targeting amyloid-beta (Aβ) plaques, particularly the pyroglutamate-modified variant, a key pathological hallmark of AD. Objectives: This review aims to explore the therapeutic potential of Donanemab (Kisunla), a novel …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 37–45 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 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 · pp. 52–58 Read article
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Dental Pulp Stem Cells Derived from Wisdom Teeth as Multitarget Biological Modulators of Alzheimer’s and Parkinson’s Disease: Mechanistic Insight and Translational Perspective
Abstract: Alzheimer’s disease and Parkinson’s disease are chronic, progressive neurodegenerative disorders with complex pathogenic pathways such as neuroinflammation, oxidative stress, mitochondrial dysfunction, synaptic degeneration, and reduced neurotrophic signalling. Despite the large amount of research, the pharmacological treatments in use offer only symptomatic relief and cannot significantly prevent or slow down disease progression sufficiently; new pathogenetic treatment strategies are necessary. In recent years, stem cell-based approaches have gained interest as potential therapeutic …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 · pp. 7–28 Read article
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The Pathophysiology, Diagnosis and Some Management Approaches of Alzheimer’s Disease: An Overview
Abstract: Alzheimer’s disease is the greatest mutual cause of dementia globally, with the occurrence ongoing to grow in part because of the aging world populace. This neurodegenerative disease process is categorized characteristically by 2 mark pathologies: β-amyloid plaque deposition and neurofibrillary masses of hyperphosphorylated tau. Diagnosis is grounded on biomarkers restrained in vivo even beforehand the onset of clinical dementia symptoms. No solitary biomarker can by itself properly diagnose AD. A …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 8, Issue 2, 2023 · pp. 1–17 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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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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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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A Comprehensive Review on Neturaceuticals in Alzheimer's and Neurodegenerative Disease an Cognitive Enhancement
Abstract: Neurodegenerative diseases, including Alzheimers disease (AD), Parkinsons disease (PD), and related cognitive disorders, represent a significant and growing public health challenge, particularly in aging populations. Despite advances in pharmacological treatments, therapeutic options for cognitive decline and neurodegeneration remain limited. Recent interest has shifted towards nutraceuticals— bioactive compounds derived from food or natural sources—as promising adjuncts or alternatives in the management of these conditions. This review examines how nutraceuticals can help …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 1–9 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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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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In Silico Molecular Docking Studies of Phytoconstituents Identified in Curcuma zedoaria Rosc. on Acetylcholinesterase: An Enzyme Target for Anti Alzheimer’s Activity
Abstract: Alzheimer’s disease (AD) is a chronic, progressive and disabling organic brain disorder characterized by disturbances of multiple cortical functions. Acetylcholinesterase (AChE) inhibition is thought to be a promising approach towards the treatment of AD. The aim and objective of the present study is to perform in-silico docking analysis of the major active constituents identified in Curcuma zedoaria Rosc. against AChE for anti-Alzheimer’s activity. In this perspective, phytoconstituents like bisdemethoxy curcumin, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 3, 2019 · pp. 9–14 Read article
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Synthesis, Molecular Docking and Biological Evaluation of Novel Chlorobenzenesulfonamide Analogues of Ibuprofen as Anti-Bacterial, Anti-Diabetic and Anti-Alzheimer Agents
Abstract: In this work, we have synthesized novel chlorobenzensulfonamide tertiary amide based analogues of Ibuprofen (Ibu) and investigated them for their anti-bacterial, anti-diabetic and anti-Alzheimer activities. In the first step, Ibu was converted to amide derivatives by incorporating different aromatic amines. These were further converted into sulfonamide analogues (Sul-Ibu, 1-9) by treating it with p-chlorobenzensulfonyl chloride. Sul-Ibu (1-9) were screened against S. aureus, B. subtilis, S. mutans, E. coli, P. aeruginosa, …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 41–55 Read article
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Alzheimer's Diseases Risk Level Classifications Using Chaos Technique
Abstract: This paper aim to classify Alzheimer's diseases risk level determining Dementia and Epilepsy which is a collective term used to describe the problems that people with various underlying brain disorders or damage can have with their memory, language and thinking. Alzheimer disease is the best known and most common disorder under the umbrella of Dementia and Epilepsy. Brain functions are measured in the hope of determining and differentiating certain functional …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 2, 2015 · pp. 36–46 Read article
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Comprehensive Approach for Treatment of Alzheimer's and Parkinson's Disease
Abstract: The two most prevalent illnesses in the world, Alzheimer's and Parkinson's disease, affect 44 million people globally and are expected to increase by 2050. While current treatments for Alzheimer’s and Parkinson's disease are primarily symptomatic, with drugs like aducanumab offering only limited disease progression, complementary therapies like mindfulness meditation may provide mental clarity and relaxation. This review aims to evaluate various treatment approaches for Alzheimer’s and Parkinson’s, including non-pharmacological options …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 13, Issue 1, 2023 · pp. 12–23 Read article
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Discussion on an Approach to After Effects of Ginkgo in Alzheimer's Disease
Abstract: Ginkgo biloba (Ginkgoaceae) is developed in China and widely planted in chosen segments of Japan. One examination found that partner concentrate of ginkgo called EGb 761 was clinically viable in Alzheimer's madness. Analysts accept that ginkgo exemplify mental element capacities because it advances keen blood flow in the cerebrum and shields it and elective parts from vegetative cell injury. Feature impacts of ginkgo incorporate cerebral pain, heartburn, vertigo and skin …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 10, Issue 3, 2020 · pp. 18–21 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
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Formulation and Evaluation of Curcumin Loaded Transferosomal Nasal In-Situ Gel for Alzheimer’s Disease
Abstract: Objective: To develop a novel delivery of curcumin by formulating its transfersome into nasal in situ gel. Methods: Curcumin transfersomes were prepared by thin film hydration method. Optimization of the formulation was performed using Design Expert software. Formulation and characterization of optimized batch of curcumin transfersomes were performed. The nasal in situ gel was prepared by incorporating the optimized transfersome. Results: The pH, drug content, in-vitro drug release profile and …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 6, Issue 2, 2019 · pp. 19–31 Read article
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Alzheimer Detection Using MRI Imaging Modality
Abstract: Alzheimer’s disease (AD) is a neurological disease that affects memory and livelihood of the people that are diagnosed with it. Many different imaging modalities have been used to help diagnose the disease. Each of these modalities offers something different towards the detection and possible treatments for AD. In this project, we developed a new approach based on mathematical and image processing techniques for better classification of AD. We proposed to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 11–17 Read article