AIMC Topic: Aging
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Using machine learning to explore the predictors of life satisfaction trajectories in older adults.
Applied psychology. Health and well-being
Aug 14, 2024
Life satisfaction is vital for older adults' well-being, impacting various life aspects. It is dynamic, necessitating nuanced approaches to capture its trajectories accurately. This study aimed to explore the diverse trajectories and predictors of li...
Identification and Validation of Aging Related Genes Signature in Chronic Obstructive Pulmonary Disease.
COPD
Aug 13, 2024
PURPOSE: Chronic Obstructive Pulmonary Disease (COPD) is regarded as an accelerated aging disease. Aging-related genes in COPD are still poorly understood.
Positive-Unlabelled learning for identifying new candidate Dietary Restriction-related genes among ageing-related genes.
Computers in biology and medicine
Aug 12, 2024
Dietary Restriction (DR) is one of the most popular anti-ageing interventions; recently, Machine Learning (ML) has been explored to identify potential DR-related genes among ageing-related genes, aiming to minimize costly wet lab experiments needed t...
Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review.
Tomography (Ann Arbor, Mich.)
Aug 12, 2024
The concept of 'brain age', derived from neuroimaging data, serves as a crucial biomarker reflecting cognitive vitality and neurodegenerative trajectories. In the past decade, machine learning (ML) and deep learning (DL) integration has transformed t...
Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction.
Neural networks : the official journal of the International Neural Network Society
Aug 3, 2024
Brain age (BA) is defined as a measure of brain maturity and could help characterize both the typical brain development and neuropsychiatric disorders in mammals. Various biological phenotypes have been successfully applied to predict BA of human usi...
Evolution of white matter hyperintensity segmentation methods and implementation over the past two decades; an incomplete shift towards deep learning.
Brain imaging and behavior
Jul 31, 2024
This systematic review examines the prevalence, underlying mechanisms, cohort characteristics, evaluation criteria, and cohort types in white matter hyperintensity (WMH) pipeline and implementation literature spanning the last two decades. Following ...
Opportunities and shortcomings of AI for spatial epidemiology and health disparities research on aging and the life course.
Health & place
Jul 23, 2024
Established spatial and life course methods have helped epidemiologists and health and medical geographers study the impact of individual and area-level determinants on health disparities. While these methods are effective, the emergence of Geospatia...
Brain age prediction using interpretable multi-feature-based convolutional neural network in mild traumatic brain injury.
NeuroImage
Jul 22, 2024
BACKGROUND: Convolutional neural network (CNN) can capture the structural features changes of brain aging based on MRI, thus predict brain age in healthy individuals accurately. However, most studies use single feature to predict brain age in healthy...
A Novel Implementation of a Social Robot for Sustainable Human Engagement in Homecare Services for Ageing Populations.
Sensors (Basel, Switzerland)
Jul 10, 2024
This research addresses the rapid aging phenomenon prevalent in Asian societies, which has led to a significant increase in elderly individuals relocating to nursing homes due to health-related issues. This trend has resulted in social isolation and ...
Association of retinal image-based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers.
Optometry and vision science : official publication of the American Academy of Optometry
Jun 28, 2024
SIGNIFICANCE: Our retinal image-based deep learning (DL) cardiac biological age (BioAge) model could facilitate fast, accurate, noninvasive screening for cardiovascular disease (CVD) in novel community settings and thus improve outcome with those wit...
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