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26 results for “Neurodegenerative Disease”
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Research ArticleOpen accessPhrase in the titleUnveiling the Potential of Dombeya buettneri K.Schum As a Drug Agent: Molecular Docking of Compounds With Enzymes Linked to Diabetes and Neurodegenerative DiseaseEsther Emem Nwanna, Samuel Chima Ugbaja et al.This study investigated the mechanisms of Dombeya buettneri (snowball leafy) extracts on diabetes, hypertension, and neurodegenerative diseases. It compared extracts obtained using steep water (a by-product of corn wet milling) and aqueous water. The extracts were analyzed for total phenol, total flavonoid content, antioxidant activities such as FRAP, ABTS, NO, DPPH, iron-induced lipid peroxidation assay, degradation of deoxyribose (Fenton’s reaction), … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 1 Feb 2026 · 2,025 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMolecular Mechanisms of Neurodegenerative Diseases Induced by Human Retroviruses: A ReviewBryan P. Irish, Zafar K. Khan, Pooja Jain et al.Problem statement: Infection with retroviruses such as human immunodeficiency virus type 1 (HIV-1) and human T cell leukemia virus type 1 (HTLV-1) have been shown to lead to neurodegenerative diseases such as HIV-associated dementia (HAD) or neuroAIDS and HTLV-1-Associated Myelopathy/Tropical Spastic Paraparesis (HAM/TSP), respectively. Approach: HIV-1-induced neurologic disease is associated with an influx of HIV-infected monocytic cells across the blood-brain … …American Journal of Infectious Diseases, Vol. 5, Issue 3 · 30 Sep 2009 · 14,888 accessesView PDFCite
Review ArticleOpen accessIn the keywordsCoenzyme Q10 Supplementation Effect on Systemic DiseasesAya Jabbar HusseinThis review paper aims to examine recent RandomizedClinical Trials (RCTs) and review articles evaluating the role of CoQ10 in themanagement of atherosclerosis, and coronary heart disease, with particularfocus on Statin-Associated Muscle Symptoms (SAMS), chronic heart failure, andthe effect on cardiovascular risk factors. With an evaluation of its impacts onpatients' well‐being, it seeks to outline the existing opportunities for usingCoQ10 in … …American Journal of Pharmacology and Toxicology, Vol. 17, Issue 1 · 20 Oct 2022 · 6,525 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAssessment of Neuropharmacological Activities of Terminalia Chebula in RatsWathita Phachonpai, Jintanaporn Wattanathorn, Terdthai Tong-un et al.Problem statement: Oxidative stress has been implicated in the pathophysiology of many neurodegenerative diseases such as Alzheimer’s Disease (AD). In traditional practices of Ayurvedic medicine, numerous herbs have been used to treat cognitive disorders. Terminalia Chebula (Combretaceae; TC), is a well-known Ayurvedic herbal remedy which possesses an antioxidant activity. The scientific literature strongly supports its in vitro exerted acetylcholinesterase inhibitory … …American Journal of Pharmacology and Toxicology, Vol. 7, Issue 2 · 11 Jun 2012 · 8,295 accessesView PDFCite
Literature ReviewOpen accessIn the keywordsAtherosclerosis and Alzheimer’s Disease Interconnection: Inflammation, Aβ and MoreAnastasia Vladimirovna Poznyak, Victoria Khotina, Roghayyeh Vakili-Ghartavol et al.Despite being the leading cause of CVD and cardiovascular mortality globally, Atherosclerosis (ATH) remains underdiagnosed and undertreated. The reasons behind Alzheimer’s Disease (AD) also remain unclear and there is currently no cure for it. At present, at least 55 million people are believed to be suffering from the disorder and the figures are expected to grow. At the same time, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 26 May 2024 · 4,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease DiagnosisNawal Mohamed Bahy Eldin, Ghada A. El Khayat, Abeer A. AmerAlzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. The model builds upon the VGG16 architecture, incorporating key enhancements to improve its ability to classify neurodegenerative conditions. The model processes structural neuroimaging data using a refined pipeline that applies … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Vertical Stacking-Based Ensemble Deep Learning Model for Early Diagnosis of Alzheimer's Disease Using Multimodal MRI ScansParvatham Niranjan Kumar, Lakshmana Phaneendra MaguluriEarly detection of Alzheimer's Disease (AD) is crucial for timely interventions that can slow disease progression, enhance quality of life, and assist with future planning. Convolutional Neural Networks (CNNs) are an efficient method for processing image-based data. In this work, we used CNN-based deep learning models to extract structural information from structural MRI (sMRI) and brain neuron connectivity patterns from … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 3,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDFCite