Results 11 to 20 of about 2,022,626 (303)
Predicting “Heart Age” Using Electrocardiography [PDF]
Journal of Personalized Medicine, 2014 Knowledge of a patient’s cardiac age, or “heart age”, could prove useful to both patients and physicians for better encouraging lifestyle changes potentially beneficial for cardiovascular health. This may be particularly true for patients who exhibit symptoms but who test negative for cardiac pathology.
Ball, Robyn L. +4 more
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Frontiers in Psychology, 2023 Brain age refers to age predicted by brain features. Brain age has previously been associated with various health and disease outcomes and suggested as a potential biomarker of general health.
Max Korbmacher +24 more
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Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers [PDF]
Trends in Neurosciences, 2017 The brain changes as we age and these changes are associated with functional deterioration and neurodegenerative disease. It is vital that we better understand individual differences in the brain ageing process; hence, techniques for making individualised predictions of brain ageing have been developed.
Cole, James H., Franke, Katja
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Introducing an adolescent cognitive maturity index
Frontiers in Psychology, 2022 Children show substantial variation in the rate of physical, cognitive, and social maturation as they traverse adolescence and enter adulthood. Differences in developmental paths are thought to underlie individual differences in later life outcomes ...
Shady El Damaty +17 more
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DNA methylation-based age clocks: From age prediction to age reversion
Ageing Research Reviews, 2021 Aging as an irretrievable occurrence throughout the entire life is characterized by a progressive decline in physiological functionality and enhanced disease vulnerability. Numerous studies have demonstrated that epigenetic modifications, particularly DNA methylation (DNAm), correlate with aging and age-related diseases.
Rezvan Noroozi +7 more
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Applied Sciences, 2023 Autonomic cardiac regulation is affected by advancing age and can be observed by variations in R-peak to R-peak intervals (RRIs). Heart rate variability (HRV) has been investigated as a physiological marker for predicting age using machine learning ...
Kyung Hyun Lee, Sangwon Byun
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Predictive validity of the CriSTAL tool for short-term mortality in older people presenting at Emergency Departments: a prospective study [PDF]
, 2011 © 2018, The Author(s). Abstract: To determine the validity of the Australian clinical prediction tool Criteria for Screening and Triaging to Appropriate aLternative care (CRISTAL) based on objective clinical criteria to accurately identify risk of death ...
ME Silverman +39 more
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Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks
Applied Sciences, 2022 Age prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age ...
Kamil Janczyk +4 more
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Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues
Frontiers in Genetics, 2020 Studying transcriptome chronological change from tissues across the whole body can provide valuable information for understanding aging and longevity. Although there has been research on the effect of single-tissue transcriptomes on human aging or aging ...
Fayou Wang +15 more
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A Blood-Based Molecular Clock for Biological Age Estimation
Cells, 2022 In the last decade, extensive efforts have been made to identify biomarkers of biological age. DNA methylation levels of ELOVL fatty acid elongase 2 (ELOVL2) and the signal joint T-cell receptor rearrangement excision circles (sjTRECs) represent the most
Ersilia Paparazzo +9 more
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