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Normative modeling has emerged as a pivotal approach for characterizing heterogeneity and individual variance in neurodegenerative diseases, notably Alzheimer's disease(AD). One of the challenges of cortical normative modeling is the…

Image and Video Processing · Electrical Eng. & Systems 2026-03-13 Jianwei Zhang , Yonggang Shi

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…

Alzheimer's disease (AD) is characterized by the progressive spread of pathology across brain networks, yet forecasting this cascade at the individual level remains challenging. We present a personalized graph-based dynamical model that…

Neurons and Cognition · Quantitative Biology 2025-11-13 Chunyan Li , Yutong Mao , Xiao Liu , Wenrui Hao

Alzheimer's disease is the most common neurodegenerative disorder. Its pathological development is connected with the misfolding and accumulation of two toxic proteins: amyloid-beta and tau proteins. Mathematical models provide a valuable…

Numerical Analysis · Mathematics 2026-04-21 Beatrice Caon , Mattia Corti , Francesca Bonizzoni , Paola F. Antonietti

Alzheimer's Disease (AD) is an irreversible neurodegenerative disorder affecting millions of individuals today. The prognosis of the disease solely depends on treating symptoms as they arise and proper caregiving, as there are no current…

Image and Video Processing · Electrical Eng. & Systems 2024-12-17 Prayas Sanyal , Srinjay Mukherjee , Arkapravo Das , Anindya Sen

In the first part of this paper we review a mathematical model for the onset and progression of Alzheimer's disease (AD) that was developed in subsequent steps over several years. The model is meant to describe the evolution of AD in vivo.…

Biological Physics · Physics 2017-09-12 Michiel Bertsch , Bruno Franchi , Maria Carla Tesi , Andrea Tosin

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

Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the central nervous system. It is usually defined as the gradual loss of dopaminergic neurons in the substantia nigra pars compacta, which causes both…

Neurons and Cognition · Quantitative Biology 2024-11-01 Hina Shaheen , Roderick Melnik

Generative AI framework-based modeling and prediction of longitudinal human brain images offer an efficient mechanism to track neurodegenerative progression, essential for the assessment of diseases like Alzheimer's. Among the existing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Ayantika Das , Keerthi Ram , Mohanasankar Sivaprakasam

Alzheimer's disease (AD) is a prominent, worldwide, age-related neurodegenerative disease that currently has no systemic treatment. Strong evidence suggests that permeable amyloid-beta peptide (Abeta) oligomers, astrogliosis and reactive…

Neurons and Cognition · Quantitative Biology 2023-06-23 Hina Shaheen , Roderick Melnik , The Alzheimer's Disease Neuroimaging Initiative

Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which destroys brain cells and causes loss to patient's memory. An early detection can prevent the patient from further damage of the brain cells and hence…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Ali Nawaz , Syed Muhammad Anwar , Rehan Liaqat , Javid Iqbal , Ulas Bagci , Muhammad Majid

Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive impairment (MCI) is essential for the delayed disease progression and the improved quality of patients'life. The emerging computer-aided…

Image and Video Processing · Electrical Eng. & Systems 2021-07-29 Fan Zhang , Bo Pan , Pengfei Shao , Peng Liu , Shuwei Shen , Peng Yao , Ronald X. Xu

Alzheimer's Disease Analysis Model (ADAM) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome profiles, clinical datasets, and external knowledge bases, to…

Artificial Intelligence · Computer Science 2025-08-22 Ziyuan Huang , Vishaldeep Kaur Sekhon , Roozbeh Sadeghian , Maria L. Vaida , Cynthia Jo , Doyle Ward , Vanni Bucci , John P. Haran

Alzheimers Disease (AD) is a progressive neurodegenerative disorder that poses significant challenges in its early diagnosis, often leading to delayed treatment and poorer outcomes for patients. Traditional diagnostic methods, typically…

Machine Learning · Computer Science 2025-08-06 Tatwadarshi P Nagarhalli , Sanket Patil , Vishal Pande , Uday Aswalekar , Prafulla Patil

Background. Alzheimer's disease and related dementia (ADRD) are characterized by multiple and progressive anatomo clinical changes. Yet, modeling changes over disease course from cohort data is challenging as the usual timescales are…

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that progressively impairs memory, decision-making, and overall cognitive function. As AD is irreversible, early prediction is critical for timely intervention and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Mahdieh Behjat Khatooni , Mohsen Soryani

One of the hallmarks of Alzheimer's disease (AD) is the accumulation and spread of toxic aggregates of tau protein. The progression of AD tau pathology is thought to be highly stereotyped, which is in part due to the fact that tau can…

Analysis of PDEs · Mathematics 2024-01-09 Veronica Tora , Justin Torok , Michiel Bertsch , Ashish Raj

Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder which is not curable, but earlier detection of Alzheimer's…

Computer Vision and Pattern Recognition · Computer Science 2017-12-21 Jyoti Islam , Yanqing Zhang

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, multifactorial neurodegenerative disorder with substantial heterogeneity in progression and treatment response. Despite recent therapeutic advances, predictive models capable of accurately forecasting…

Machine Learning · Computer Science 2025-07-23 Jindong Wang , Yutong Mao , Xiao Liu , Wenrui Hao