Alzheimer's disease - Open Access .click

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T2 Protect AD: Achieving a rapid recruitment timeline in a multisite clinical trial for individuals with mild to moderate Alzheimer's disease

Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 2022
Introduction The reporting of approaches facilitating the most efficient and timely recruitment of Alzheimer's disease (AD) patients into pharmacologic trials is fundamental to much‐needed therapeutic progress.
Aladdin H. Shadyab +15 more
doaj +1 more source

Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning [PDF]

, 2021
Background: Alzheimers disease is a progressive neurodegenerative disorder and the main cause of dementia in aging. Hippocampus is prone to changes in the early stages of Alzheimers disease. Detection and observation of the hippocampus changes using magnetic resonance imaging (MRI) before the onset of Alzheimers disease leads to the faster preventive ...
arxiv +1 more source

Cross‐sectional and longitudinal evaluation of plasma glial fibrillary acidic protein to detect and predict clinical syndromes of Alzheimer's disease

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023
Introduction This study examined plasma glial fibrillary acidic protein (GFAP) as a biomarker of cognitive impairment due to Alzheimer's disease (AD) with and against plasma neurofilament light chain (NfL), and phosphorylated tau (p‐tau)181+231.
Madeline Ally +27 more
doaj +1 more source

Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input [PDF]

arXiv, 2022
Many high-performance classification models utilize complex CNN-based architectures for Alzheimer's Disease classification. We aim to investigate two relevant questions regarding classification of Alzheimer's Disease using MRI: "Do Vision Transformer-based models perform better than CNN-based models?" and "Is it possible to use a shallow 3D CNN-based ...
arxiv

Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression [PDF]

arXiv, 2023
Misfolded tau proteins play a critical role in the progression and pathology of Alzheimer's disease. Recent studies suggest that the spatio-temporal pattern of misfolded tau follows a reaction-diffusion type equation. However, the precise mathematical model and parameters that characterize the progression of misfolded protein across the brain remain ...
arxiv

Plasma p‐tau217 concordance with amyloid PET among ethnically diverse older adults

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
INTRODUCTION Commercially available plasma p‐tau217 biomarker tests are not well studied in ethnically diverse samples. METHODS We evaluated associations between ALZPath plasma p‐tau217 and amyloid‐beta positron emission tomography (Aβ‐PET) in Hispanic ...
Breton M. Asken +23 more
doaj +1 more source

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Nature Genetics, 2022
Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes.
C. Bellenguez +402 more
semanticscholar +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source

Brain transcriptomes of zebrafish and mouse Alzheimer's disease knock-in models imply early disrupted energy metabolism

Disease Models & Mechanisms, 2022
Energy production is the most fundamentally important cellular activity supporting all other functions, particularly in highly active organs, such as brains.
Karissa Barthelson, Morgan Newman, Michael Lardelli +2 more
doaj +1 more source

Predicting Alzheimer's Disease Using 3DMgNet [PDF]

arXiv, 2022
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 needed to evaluate the diagnosis clinically, which not only increases the workload of doctors, but also makes the ...
arxiv

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