English
Related papers

Related papers: Combining Representation Learning with Tensor Fact…

200 papers

Sleep change is commonly reported in Alzheimer's disease (AD) patients and their brain wave studies show decrease in dreaming and non-dreaming stages. Although sleep disturbance is generally considered as a consequence of AD, it might also…

Neurons and Cognition · Quantitative Biology 2020-06-26 Yejin Kim , Xiaoqian Jiang , Luyao Chen , Xiaojin Li , Licong Cui

A comprehensive view of factors associated with AD/ADRD will significantly aid in studies to develop new treatments for AD/ADRD and identify high-risk populations and patients for prevention efforts. In our study, we summarized the risk…

Artificial Intelligence · Computer Science 2024-02-27 Aokun Chen , Qian Li , Yu Huang , Yongqiu Li , Yu-neng Chuang , Xia Hu , Serena Guo , Yonghui Wu , Yi Guo , Jiang Bian

This study examines the potential causal relationship between head injury and the risk of developing Alzheimer's disease (AD) using Bayesian networks and regression models. Using a dataset of 2,149 patients, we analyze key medical history…

Machine Learning · Computer Science 2025-02-19 Andrei Lixandru

Alzheimer's dementia (AD) is of increasing concern as populations achieve longer lifespans. Many of the recent failed AD clinical trials recruiting cognitively intact individuals had a low number of AD events and were thus underpowered.…

Methodology · Statistics 2025-03-21 Julia Gallini , Zach Baucom , Yorghos Tripodis

Alzheimer s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, where early detection is essential for timely intervention and improved patient outcomes. Traditional diagnostic methods are…

The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) associated with brain changes remains a challenging task. Recent studies have demonstrated that combination of multi-modality imaging techniques can better…

Machine Learning · Computer Science 2022-09-26 Jun Yu , Zhaoming Kong , Liang Zhan , Li Shen , Lifang He

The systemic, metabolic, lifestyle factors have established associations with Alzheimer's Disease (AD) through epidemiologic and AD-specific biomarker studies. Whether colored fundus photography (CFP) contains retinal structural signatures…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Seowung Leem , Yunchao Yang , Adam J. Woods , Ruogu Fang

Objective: this study has a twofold goal. First, it aims to improve the understanding of the impact of Dementia of type Alzheimer's Disease (AD) on different aspects of the lexicon. Second, it aims to demonstrate that such aspects of the…

Computation and Language · Computer Science 2023-07-18 M. Zakaria Kurdi

Background: Dementia, marked by cognitive decline, is a global health challenge. Alzheimer's disease (AD), the leading type, accounts for ~70% of cases. Electroencephalography (EEG) measures show promise in identifying AD risk, but…

Signal Processing · Electrical Eng. & Systems 2024-11-28 Veronica Henao Isaza , David Aguillon , Carlos Andres Tobon Quintero , Francisco Lopera , John Fredy Ochoa Gomez

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 that affects millions of people worldwide. Due to the heterogeneous nature of AD, its diagnosis and treatment pose critical challenges. Consequently, there is a growing…

Machine Learning · Computer Science 2024-10-08 Tianyi Wei , Shu Yang , Davoud Ataee Tarzanagh , Jingxuan Bao , Jia Xu , Patryk Orzechowski , Joost B. Wagenaar , Qi Long , Li Shen

Alzheimer's disease (AD) is the most prevalent form of dementia, and its early diagnosis is essential for slowing disease progression. Recent studies on multimodal neuroimaging fusion using MRI and PET have achieved promising results by…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Delin Ma , Menghui Zhou , Jun Qi , Yun Yang , Po Yang

Alzheimer's Disease (AD) is nowadays the most common form of dementia, and its automatic detection can help to identify symptoms at early stages, so that preventive actions can be carried out. Moreover, non-intrusive techniques based on…

Computation and Language · Computer Science 2020-11-21 Mireia Farrús , Joan Codina-Filbà

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

Alzheimer's disease (AD) is a progressive neurological disorder, meaning that the symptoms develop gradually throughout the years. It is also the main cause of dementia, which affects memory, thinking skills, and mental abilities. Nowadays,…

Computation and Language · Computer Science 2022-11-09 Loukas Ilias , Dimitris Askounis , John Psarras

Understanding the distinction between causation and correlation is critical in Alzheimer's disease (AD) research, as it impacts diagnosis, treatment, and the identification of true disease drivers. This experiment investigates the…

Artificial Intelligence · Computer Science 2025-06-13 Hamzah Dabool , Raghad Mustafa

Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by the progressive accumulation of misfolded proteins, leading to cognitive decline. This study presents a novel stochastic modelling approach to simulate the…

Neurons and Cognition · Quantitative Biology 2024-11-06 Alec MacIver , Hina Shaheen

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia, affecting memory, reasoning, communication, and daily functioning. Early diagnosis is particularly important, as timely intervention may…

Sound · Computer Science 2026-05-26 Loukas Ilias , Dimitris Askounis

Alzheimer's disease (AD) is a chronic neurodegenerative disease that causes memory loss and decline in cognitive abilities. AD is the sixth leading cause of death in the United States, affecting an estimated 5 million Americans. To assess…

Other Statistics · Statistics 2019-04-10 JinCheol Choi , Donghuan Lu , Mirza Faisal Beg , Jinko Graham , Brad McNeney

It is of great significance to apply deep learning for the early diagnosis of Alzheimer's Disease (AD). In this work, a novel tensorizing GAN with high-order pooling is proposed to assess Mild Cognitive Impairment (MCI) and AD. By…

Machine Learning · Computer Science 2020-08-04 Wen Yu , Baiying Lei , Michael K. Ng , Albert C. Cheung , Yanyan Shen , Shuqiang Wang
‹ Prev 1 2 3 10 Next ›