AIMC Topic: Aging

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Leveraging AI to identify dual-purpose aging and disease targets.

Expert opinion on therapeutic targets Dec 1, 2023
Humans Aging Molecular Targeted Therapy Artificial Intelligence Animals
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eXplainable Artificial Intelligence (XAI) in aging clock models.

Ageing research reviews Nov 28, 2023
XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of complex models. XAI is especially required in sensitive applications, e.g. in health care, when diagnosis, recommendations and treatment choices might rely o...
Artificial Intelligence Machine Learning Aging Humans
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The leading global health challenges in the artificial intelligence era.

Frontiers in public health Nov 27, 2023
Millions of people's health is at risk because of several factors and multiple overlapping crises, all of which hit the vulnerable the most. These challenges are dynamic and evolve in response to emerging health challenges and concerns, which need ef...
Aging Algorithms Cardiovascular Diseases Global Health Humans Artificial Intelligence
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The effect of different types of cognitive tasks on postural sway fluctuations in older and younger adults: A nonlinear study.

Journal of bodywork and movement therapies Nov 21, 2023
BACKGROUND: There are numerous types of cognitive tasks classified as mental tracking (MT), working memory (WM), reaction time (RT), discrimination and decision-making and verbal fluency (VF). However, limited studies have investigated the effects of...
Postural Balance Memory, Short-Term Aging Cognition Humans Reaction Time Aged
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A model to forecast the two-year variation of subjective wellbeing in the elderly population.

BMC medical informatics and decision making Nov 8, 2023
BACKGROUND: The ageing global population presents significant public health challenges, especially in relation to the subjective wellbeing of the elderly. In this study, our aim was to investigate the potential for developing a model to forecast the ...
Humans Machine Learning Logistic Models Random Forest Aging Middle Aged Forecasting Aged
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ExplaiNAble BioLogical Age (ENABL Age): an artificial intelligence framework for interpretable biological age.

The lancet. Healthy longevity Nov 6, 2023
BACKGROUND: Biological age is a measure of health that offers insights into ageing. The existing age clocks, although valuable, often trade off accuracy and interpretability. We introduce ExplaiNAble BioLogical Age (ENABL Age), a computational framew...
Aging Genome-Wide Association Study Artificial Intelligence Machine Learning Nutrition Surveys United States Humans
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LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality.

Nature communications Nov 6, 2023
Age is closely related to human health and disease risks. However, chronologically defined age often disagrees with biological age, primarily due to genetic and environmental variables. Identifying effective indicators for biological age in clinical ...
Lens, Crystalline Deep Learning Humans Child, Preschool Aging
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Employing Deep-Learning Approach for the Early Detection of Mild Cognitive Impairment Transitions through the Analysis of Digital Biomarkers.

Sensors (Basel, Switzerland) Oct 31, 2023
Mild cognitive impairment (MCI) is the precursor to the advanced stage of Alzheimer's disease (AD), and it is important to detect the transition to the MCI condition as early as possible. Trends in daily routines/activities provide a measurement of c...
Biomarkers Aged Cognitive Dysfunction Aging Humans Deep Learning Alzheimer Disease
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Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo.

Cell Oct 19, 2023
Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is impractical in non-regenerative organs, such as the eye and brain, because tissue biopsies would cause serious damage. We resolve this problem by integ...
Aqueous Humor Biopsy Liquid Biopsy Artificial Intelligence Aging Proteomics Parkinson Disease Humans
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Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms.

BMC medical informatics and decision making Oct 19, 2023
INTRODUCTION: The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population aging. SA is a subjective and ...
Humans Machine Learning Algorithms Retrospective Studies Aged Fuzzy Logic Aging
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