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48 articles for “Alzheimer Disease”
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Research ArticleOpen accessPhrase in the titleThe Pathology of Alzheimer Disease Elicits an In Vivo Immunological ResponseDavid J. Bonda, Kate M. Webber, Sandra L. Siedlak et al.The mechanism(s) responsible for the loss of neurons that characterizes Alzheimer disease is incompletely understood. Nonetheless, there is considerable evidence suggestive of immune abnormalities coupled to alterations in blood-brain barrier permeability that likely play a key role in both the etiology and progression of the disease. To examine these issues further, this study was designed to examine the presence of … …American Journal of Immunology, Vol. 3, Issue 1 · 30 Jun 2007 · 7,115 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn AI-Powered Integrated Care Model Combining Traditional Chinese Medicine and Western Medicine for Personalized Alzheimer’s Disease ManagementShurong Li, Yiming Chen, Jin Xu et al.Alzheimer's Disease (AD) gradually reduces memory and cognition. While Western medicine focuses on pharmacological treatments, it frequently ignores holistic factors such as mood and digestion. Traditional Chinese Medicine (TCM) addresses these issues through a wellness-oriented approach. However, the combination of both systems in patient care is uncommon. Current Alzheimer's disease treatments are often siloed, relying solely on Western or alternative … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 2,063 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing 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 accessEvery word in the titleA 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
Literature ReviewOpen accessEvery word in the titleAtherosclerosis 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 accessEvery word in the titleAnalysis of Plasma Amyloid-Beta and Apolipoprotein E Genotypes as Markers of Alzheimer’s Disease in Healthy Korean AdultsEun Ju Oh, Jung Jae Lee, Bo Kyeung Jung, Jae Kyung KimThe presence of the ApoE4 allele interferes with human Amyloid-Beta (Aβ) clearance and reduces the neuronal damage response, which, in turn, is associated with increased Alzheimer’s Disease (AD) risk. Identifying individuals with the highest genetic risk may aid clinical AD diagnosis and prognosis. However, to the best of our knowledge, no previous study has performed blood-based analysis of ApoE polymorphisms … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 26 Mar 2024 · 4,492 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,252 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDiagnosing Alzheimer’s Disease using Convolution Neural NetworksSarita, Saurabh Mukherjee, Tanupriya Choudhury et al.Alzheimer’s is a disease wherein constant degeneration of neurons and their synapses result in impaired brain functioning which leads to personality changes, memory loss, thinking and speech disorder. So, there is a requirement of an automated and early diagnosis of this disease to decrease the death rate. The proposed work is coupled with deep learning techniques to predict the Alzheimer’s … …Journal of Computer Science, Vol. 18, Issue 2 · 21 Feb 2022 · 7,344 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleEfficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and ToolsVinutha N., P. Deepa Shenoy, K.R. VenugopalThe development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer’s Disease (AD) and to prevent the progression of the disease to the later stages. The longitudinal and cross sectional images of elderly subjects were obtained from the standard datasets like ADNI, OASIS, MIRIAD and … …Neuroscience International, Vol. 7, Issue 2 · 4 Oct 2017 · 8,450 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePossible Therapeutic Role of Jasonia Candicans and Jasonia Montana Extracts in the Regression of Alzheimer’s Disease in Experimental ModelHanaa H. Ahmed, Hoda F. Booles, Wagdy K.B. Khalil et al.The present article aimed to investigate the potential role of the ethanolic extracts of the aerial parts of Jasonia candicans and Jasonia montana in management of Alzheimer’s Disease (AD) in experimental model. Supplementation of drinking water AlCl3 (0.3%) for 16 weeks induced AD in male rats with siginifcant increase in brain Acetylcholinesterase (AchE) activity, Tumour Necrosis Factor (TNF-α), Transforming Growth … …American Journal of Biochemistry and Biotechnology, Vol. 9, Issue 2 · 20 Jun 2013 · 7,830 accessesView PDFCite