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50 articles for “Alzheimer’s disease”
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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 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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Clinical metabolomics: Useful insights, perspectives, and challenges.
Abstract: Metabolomics provides a comprehensive snapshot of smallmolecule intermediates and end products of cellular processes and thereby links genotype, environment, and phenotype in human disease . Over the last decade, advances in liquid chromatography–mass spectrometry (LC–MS) and nuclear magnetic resonance (NMR) spectroscopy have enabled high-throughput profiling of thousands of metabolites from microliter volumes of clinical samples . Clinical metabolomics is now emerging as a tool for disease diagnosis, risk prediction, therapeutic …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 29–37 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 Read article
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Neurodegeneration and Cognitive Decline: Causes, Consequences, and Treatment Approaches
Abstract: Neurodegenerative diseases gradually destroy nerve cells, often leading to fatal outcomes. The phrase includes a wide range of clinical problems, such as a variety of Neurological conditions include movement disorders, like Parkinson’s disease (PD) and progressive cognitive impairments, with Alzheimer’s disease (AD) being the most common among them. A loss of neurones and synaptic connections, typically in later life, is a prevalent feature of Usually, the onset and development of …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 47–59 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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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Neuroprotective Effects of Curcuma longa: A Review of Its Role in Neurodegenerative Diseases
Abstract: Curcuma longa (turmeric), a perennial herb notably utilized in traditional medication, has garnered big clinical attention due to its major bioactive compound, curcumin. Curcumin, well-known shows a couple of organic activities, together with antioxidant, anti-amyloidogenic, and neurodegenerative effects, making it a promising candidate for the management of neurodegenerative diseases (NDDs), which include Alzheimer’s illness, Parkinson’s disorder (PD), Huntington’s sickness (HD), and amyotrophic lateral sclerosis (ALS). This evaluate consolidates current findings …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 24–32 Read article
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An Extensive Analysis of Computer-Aided Drug Design for Novel Psychotropic and Neurological Substances
Abstract: A comprehensive review of the use of computer-aided drug design (CADD) in the creation of innovative neurologic and neuropsychiatric medications is given in this article. It discusses the challenges in traditional drug discovery approaches and highlights the role of computational methods in accelerating the identification and optimization of drug candidates targeting psychiatric and neurological disorders. The method of finding new drugs has been completely transformed by Computer-Aided Drug Design (CADD), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
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Butrin Tackles Retinoblastoma – A Clinical Hypothesis †
Abstract: Breach of association of legumain protein activities to the corresponding cellular components results in over-expression of legumain, and constitutes a key biomarker for a variety of life-taxing sicknesses like cancer, Alzheimer’s/Parkinson’s and acute kidney injury. To suppress the functions of legumain, it is hypothesized that a water soluble and edible biomolecule, namely, butrin (7, 3’, 4’-trihydroxy flavanone-7, 3’-diglucoside) may have the therapeutic potential owing to its special ability to bind …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 26–30 Read article
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In Silico Assessment of Demethoxycurcumin: Molecular Docking and Computational Insights into its various therapeutic Potential
Abstract: Natural compounds are increasingly explored for their therapeutic potential in medical research. Here, we focused on demethoxycurcumin (DMC), a polyphenolic bioactive compound extracted from Curcuma longa, commonly found in turmeric. DMC, with a chemical formula of C20H18O5 and a molecular weight of 340 g/mol, possesses two aromatic ring systems, each featuring a β-diketone moiety connected by a seven-carbon chain. This unique structure allows DMC to engage in tautomerism, which is …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 9–15 Read article
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Integrating Network Pharmacology and Molecular Docking to Investigate Boerhavia diffusa for Pancreatic Cancer Treatment
Abstract: Objective: In this study, network pharmacology was applied to determine the therapeutic effects of the bioactive compounds of Boerhavia diffusa. Network pharmacology can unearth the underlying mechanisms between drugs and the disease targets and aids in the discovery of novel medications for complex conditions such as cancer. Methods: To predict the molecular mechanisms of action of Boerhavia diffusa in the treatment of was screened using the GeneCards database. The Venn …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 29–49 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 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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A Review Article on Nutraceuticals – An Impact on Conventional Health Care
Abstract: Nutraceuticals, combining nutrition and pharmaceuticals, have transformed healthcare. This review explores their classification, scope, benefits, and challenges. Nutraceuticals, including dietary supplements, functional foods, herbal products, and fortified foods, promote health and prevent diseases. The global market, valued at $117 billion, is expanding rapidly, fueled by the growing focus on health. Key benefits are boosted health benefits, fewer side effects, natural options improved nutrition. Classification is traditional (conventional) nutraceuticals (e.g., lycopene, …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 9–23 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Integrating Network Pharmacology and Molecular Docking to Assess Rutin’s Pharmacological Properties
Abstract: Objectives: In the present research, the network pharmacology process was applied to determine the underlying mechanism of the pharmacological properties of Rutin. Network pharmacology was utilized to reveal the interactions between medications and the targets of illnesses, and it is capable of completely articulating the complexity between diseases and medications. The identification of diverse drug-target interactions using network pharmacology may be utilized to discover novel medications for difficult conditions like …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 20–33 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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Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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Pharmacological Management of Parkinson’s Disease: Current Therapies and Emerging Treatments
Abstract: Objective: Parkinson's disease, behind Alzheimer's, is the second most common neurodegenerative ailment and a major cause of neurological morbidity worldwide. Clinical diagnosis is made, and current management is limited to symptomatic treatments, with levodopa remaining the cornerstone of pharmaceutical therapy. In certain patient groups, deep brain stimulation of specific basal ganglia targets can provide significant clinical relief. There are currently no proven disease-modifying medicines in clinical use that can halt …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 1, 2023 · pp. 27–39 Read article