[HTML][HTML] Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities
The aging process results in multiple traceable footprints, which can be quantified and used
to estimate an organism's age. Examples of such aging biomarkers include epigenetic …
to estimate an organism's age. Examples of such aging biomarkers include epigenetic …
[HTML][HTML] Artificial intelligence for aging and longevity research: Recent advances and perspectives
A Zhavoronkov, P Mamoshina, Q Vanhaelen… - Ageing research …, 2019 - Elsevier
The applications of modern artificial intelligence (AI) algorithms within the field of aging
research offer tremendous opportunities. Aging is an almost universal unifying feature …
research offer tremendous opportunities. Aging is an almost universal unifying feature …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
Clinical biomarker-based biological aging and risk of cancer in the UK Biobank
Background Despite a clear link between aging and cancer, there has been inconclusive
evidence on how biological age (BA) may be associated with cancer incidence. Methods We …
evidence on how biological age (BA) may be associated with cancer incidence. Methods We …
Clinlabomics: leveraging clinical laboratory data by data mining strategies
X Wen, P Leng, J Wang, G Yang, R Zu, X Jia… - BMC …, 2022 - Springer
The recent global focus on big data in medicine has been associated with the rise of artificial
intelligence (AI) in diagnosis and decision-making following recent advances in computer …
intelligence (AI) in diagnosis and decision-making following recent advances in computer …
[HTML][HTML] A comprehensive overview of the complex role of oxidative stress in aging, the contributing environmental stressors and emerging antioxidant therapeutic …
E Iakovou, M Kourti - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
Introduction: Aging is a normal, inevitable, irreversible and progressive process which is
driven by internal and external factors. Oxidative stress, that is the imbalance between …
driven by internal and external factors. Oxidative stress, that is the imbalance between …
Progress in biological age research
Z Li, W Zhang, Y Duan, Y Niu, Y Chen, X Liu… - Frontiers in public …, 2023 - frontiersin.org
Biological age (BA) is a common model to evaluate the function of aging individuals as it
may provide a more accurate measure of the extent of human aging than chronological age …
may provide a more accurate measure of the extent of human aging than chronological age …
Ranking biomarkers of aging by citation profiling and effort scoring
A Hartmann, C Hartmann, R Secci, A Hermann… - Frontiers in …, 2021 - frontiersin.org
Aging affects most living organisms and includes the processes that reduce health and
survival. The chronological and the biological age of individuals can differ remarkably, and …
survival. The chronological and the biological age of individuals can differ remarkably, and …
[HTML][HTML] Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults
We have developed a deep learning aging clock using blood test data from the China
Health and Retirement Longitudinal Study, which has a mean absolute error of 5.68 years …
Health and Retirement Longitudinal Study, which has a mean absolute error of 5.68 years …
Basic of machine learning and deep learning in imaging for medical physicists
L Manco, N Maffei, S Strolin, S Vichi, L Bottazzi… - Physica Medica, 2021 - Elsevier
The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …