AIMC Topic: Alzheimer Disease
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Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on a Norwegian imaging database.
PloS one
Aug 24, 2023
An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is the automated segmentation of white matter hyperintensities (WMHs). Fluid Attenuated Inversion Recovery (FLAIR-weighted) is an MRI contrast that is particu...
Artificial intelligence for dementia genetics and omics.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Aug 22, 2023
Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance our understanding of underlying mechanisms and pathways that can be targeted. We identified key remaining challenges: First, can we enhance genetic studies to addre...
De novo drug design based on patient gene expression profiles via deep learning.
Molecular informatics
Aug 21, 2023
Computational de novo drug design is a challenging issue in medicine, and it is desirable to consider all of the relevant information of the biological systems in a disease state. Here, we propose a novel computational method to generate drug candida...
Multi-dimensional deep learning drives efficient discovery of novel neuroprotective peptides from walnut protein isolates.
Food & function
Jul 31, 2023
Neurodegenerative diseases, such as Alzheimer's and Parkinson's, are multi-factor induced neurological disorders that require management from multiple pathologies. The peptides from natural proteins with diverse physiological activity can be candidat...
A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Jul 6, 2023
BACKGROUND: Identifying genetic patterns that contribute to Alzheimer's disease (AD) is important not only for pre-symptomatic risk assessment but also for building personalized therapeutic strategies.
Classification and deep-learning-based prediction of Alzheimer disease subtypes by using genomic data.
Translational psychiatry
Jun 29, 2023
Late-onset Alzheimer's disease (LOAD) is the most common multifactorial neurodegenerative disease among elderly people. LOAD is heterogeneous, and the symptoms vary among patients. Genome-wide association studies (GWAS) have identified genetic risk f...
Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis.
Journal of medical Internet research
Jun 23, 2023
BACKGROUND: Artificial intelligence (AI) can improve the health and well-being of older adults and has the potential to assist and improve nursing care. In recent years, research in this area has been increasing. Therefore, it is necessary to underst...
Social robotics to support older people with dementia: a study protocol with Paro seal robot in an Italian Alzheimer's day center.
Frontiers in public health
Jun 21, 2023
INTRODUCTION: The aging of the population and the high incidence of those over 80 lead to an inevitable increase in chronic degenerative diseases, such as dementia, resulting in increased morbidity and disability. Treatment of people with dementia in...
An Optimized Deep Learning Model for Predicting Mild Cognitive Impairment Using Structural MRI.
Sensors (Basel, Switzerland)
Jun 16, 2023
Early diagnosis of mild cognitive impairment (MCI) with magnetic resonance imaging (MRI) has been shown to positively affect patients' lives. To save time and costs associated with clinical investigation, deep learning approaches have been used widel...
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping.
NeuroImage
May 21, 2023
Quantitative susceptibility mapping (QSM) has been applied to the measurement of iron deposition and the auxiliary diagnosis of neurodegenerative disease. There still exists a dipole inversion problem in QSM reconstruction. Recently, deep learning ap...
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