AIMC Topic: Aging
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An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblasts.
PloS one
Apr 17, 2024
In this work, a Python framework for characteristic feature extraction is developed and applied to gene expression data of human fibroblasts. Unlabeled feature selection objectively determines groups and minimal gene sets separating groups. ML explai...
Identification and validation of aging-related genes in heart failure based on multiple machine learning algorithms.
Frontiers in immunology
Apr 15, 2024
BACKGROUND: In the face of continued growth in the elderly population, the need to understand and combat age-related cardiac decline becomes even more urgent, requiring us to uncover new pathological and cardioprotective pathways.
Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation inpatients: RESORT.
Experimental gerontology
Apr 13, 2024
BACKGROUND: Accelerated biological ageing is a major underlying mechanism of frailty development. This study aimed to investigate if the biological age measured by a blood biochemistry-based ageing clock is associated with frailty in geriatric rehabi...
Single-cell senescence identification reveals senescence heterogeneity, trajectory, and modulators.
Cell metabolism
Apr 10, 2024
Cellular senescence underlies many aging-related pathologies, but its heterogeneity poses challenges for studying and targeting senescent cells. We present here a machine learning program senescent cell identification (SenCID), which accurately ident...
Assessing Biological Age: The Potential of ECG Evaluation Using Artificial Intelligence: JACC Family Series.
JACC. Clinical electrophysiology
Apr 8, 2024
Biological age may be a more valuable predictor of morbidity and mortality than a person's chronological age. Mathematical models have been used for decades to predict biological age, but recent developments in artificial intelligence (AI) have led t...
A Review of Intelligent Walking Support Robots: Aiding Sit-to-Stand Transition and Walking.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 27, 2024
Nowadays, numerous countries are facing the challenge of aging population. Additionally, the number of people with reduced mobility due to physical illness is increasing. In response to this issue, robots used for walking assistance and sit-to-stand ...
Artificial intelligence-based video monitoring of movement disorders in the elderly: a review on current and future landscapes.
Singapore medical journal
Mar 26, 2024
Due to global ageing, the burden of chronic movement and neurological disorders (Parkinson's disease and essential tremor) is rapidly increasing. Current diagnosis and monitoring of these disorders rely largely on face-to-face assessments utilising c...
Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data.
GeroScience
Mar 18, 2024
Aging is the basis of neurodegeneration and dementia that affects each endemic in the body. Normal aging in the brain is associated with progressive slowdown and disruptions in various abilities such as motor ability, cognitive impairment, decreasing...
Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices - A scoping review.
Computers in biology and medicine
Mar 18, 2024
BACKGROUND: The aging population is steadily increasing, posing new challenges and opportunities for healthcare systems worldwide. Technological advancements, particularly in commercially available Active Assisted Living devices, offer a promising al...
Artificial Intelligence and the Sense of Self of Older Adults: A Philosophy of Science Perspective.
The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
Mar 15, 2024
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