English
Related papers

Related papers: A Lipid Rafts Theory of Alzheimer's Disease

200 papers

Alzheimer's disease (AD) is a neurodegenerative disorder; it is the most common form of de-mentia and the fifth leading cause of death globally. Aggregation and deposition of neurotoxic A-beta fibrils in the neural tissues of the brain is a…

Soft Condensed Matter · Physics 2024-06-10 Sadika Choudhury , Ashok Kumar Dasmahapatra

Progressive cognitive decline spanning across decades is characteristic of Alzheimer's disease (AD). Various predictive models have been designed to realize its early onset and study the long-term trajectories of cognitive test scores…

Alzheimer's Disease (AD) is the most widespread neurodegenerative disease, affecting over 50 million people across the world. While its progression cannot be stopped, early and accurate diagnostic testing can drastically improve quality of…

Machine Learning · Computer Science 2021-01-11 Vishnu Ram Sampathkumar

Alzheimer's disease (AD) is a neurodegenerative disease that affects nearly 50 million individuals across the globe and is one of the leading causes of deaths globally. It is projected that by 2050, the number of people affected by the…

Machine Learning · Computer Science 2021-10-26 Yash Kumar , Piyush Maheshwari , Shreyansh Joshi , Veeky Baths

Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes. Early diagnosis is challenging due to subtle symptoms and varied presentations, often leading to…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Yifei Chen , Shenghao Zhu , Zhaojie Fang , Chang Liu , Binfeng Zou , Yuhe Wang , Shuo Chang , Fan Jia , Feiwei Qin , Jin Fan , Yong Peng , Changmiao Wang

Alzheimer's disease (AD) is the fifth-leading cause of death among Americans aged 65 and older. Screening and early detection of AD and related dementias (ADRD) are critical for timely intervention and for identifying clinical trial…

Artificial Intelligence · Computer Science 2024-05-29 Jiankun Wang , Sumyeong Ahn , Taykhoom Dalal , Xiaodan Zhang , Weishen Pan , Qiannan Zhang , Bin Chen , Hiroko H. Dodge , Fei Wang , Jiayu Zhou

Mathematical modeling offers a valuable approach to understanding Alzheimers disease (AD) given its complexity, unknown causes, and lack of effective treatments. Models, once validated, offer a powerful tool to test medical hypotheses that…

Analysis of PDEs · Mathematics 2026-03-20 G. Landi , A. Scaravelli , M. C. Tesi , C. Testa

Alzheimer's disease (AD) diagnosis requires integrating neuroimaging with heterogeneous clinical evidence and reasoning under established criteria, yet most multimodal models remain opaque and weakly guideline-aligned. We present…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Qiuhui Chen , Yushan Deng , Xuancheng Yao , Yi Hong

Alzheimer's disease (AD), defined as an abnormal buildup of amyloid plaques and tau tangles in the brain can be diagnosed with high accuracy based on protein biomarkers via PET or CSF analysis. However, due to the invasive nature of…

Machine Learning · Computer Science 2026-01-27 Megan A. Witherow , Michael L. Evans , Ahmed Temtam , Hamid R. Okhravi , Khan M. Iftekharuddin

Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome characterized by cognitive impairment severe enough to interfere with activities of daily life. We aimed to conduct a systematic literature review (SLR) of…

Quantitative Methods · Quantitative Biology 2021-08-31 Sayantan Kumar , Inez Oh , Suzanne Schindler , Albert M Lai , Philip R O Payne , Aditi Gupta

Alzheimer's disease (AD) is an irreversible neurode generative disease of the brain.The disease may causes memory loss, difficulty communicating and disorientation. For the diagnosis of Alzheimer's disease, a series of scales are often…

Image and Video Processing · Electrical Eng. & Systems 2022-01-13 Yelu Gao , Huang Huang , Lian Zhang

Alzheimer's disease (AD) exhibits substantial clinical and biological heterogeneity, complicating efforts in treatment and intervention development. While new computational methods offer insights into AD progression, the reproducibility of…

Quantitative Methods · Quantitative Biology 2026-02-06 Emma Prevot , Cameron Shand , Neil Oxtoby , for Alzheimer's Disease Neuroimaging Initiative

Multiple types or views of data (e.g. genetics, proteomics) measured on the same set of individuals are now popularly generated in many biomedical studies. A particular interest might be the detection of sample subgroups (e.g. subtypes of…

Methodology · Statistics 2025-05-09 Kaifeng Yang , Thierry Chekouo , Sandra E. Safo

Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by the accumulation of amyloid-beta (A$\beta$) and phosphorylated tau (p-tau) proteins, leading to cognitive decline measured by the Alzheimer's Disease…

Neurons and Cognition · Quantitative Biology 2025-04-21 Swadesh Pal , Roderick Melnik

Although neurocognitive models have been proposed to explain anosognosia in Alzheimer's disease (AD), the neural cascade responsible for its origin in the human brain remains unknown. Here, we build on a mechanistic dual-path hypothesis…

Neurons and Cognition · Quantitative Biology 2023-03-28 Katia Andrade , Thomas Guiyesse , Takfarinas Medani , Etienne Koechlin , Dimitrios Pantazis , Bruno Dubois

Alzheimer's disease (AD) is an irreversible brain disease that can dramatically reduce quality of life, most commonly manifesting in older adults and eventually leading to the need for full-time care. Early detection is fundamental to…

Computation and Language · Computer Science 2019-06-14 Flavio Di Palo , Natalie Parde

The link between metals, Alzheimers disease (AD) and its implicated protein, amyloid \b{eta} (A\b{eta}), is complex and highly studied. AD is believed to occur as a result of the misfolding and aggregation of A\b{eta}. The dyshomeostasis of…

Biological Physics · Physics 2017-04-28 Francis Hane , Gary Tran , Simon Attwood , Zoya Leonenko

Alzheimer's disease (AD) is a degenerative brain disease impairing a person's ability to perform day to day activities. The clinical manifestations of Alzheimer's disease are characterized by heterogeneity in age, disease span, progression…

Machine Learning · Computer Science 2018-12-07 Vipul Satone , Rachneet Kaur , Faraz Faghri , Mike A Nalls , Andrew B Singleton , Roy H Campbell

Alzheimer's Disease (AD) is a non-curable progressive neurodegenerative disorder that affects the human brain, leading to a decline in memory, cognitive abilities, and eventually, the ability to carry out daily tasks. Manual diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2024-09-13 Santanu Roy , Archit Gupta , Shubhi Tiwari , Palak Sahu

Alzheimer disease (AD) diagnosis and prognosis increasingly rely on machine learning (ML) models. Although these models provide good results, clinical adoption is limited by the need for technical expertise and the lack of trustworthy and…

Machine Learning · Computer Science 2026-03-11 Pablo Guillén , Enrique Frias-Martinez