Decoding aging hallmarks at the single-cell level

S Ma, X Chi, Y Cai, Z Ji, S Wang, J Ren… - Annual Review of …, 2023 - annualreviews.org
Organismal aging exhibits wide-ranging hallmarks in divergent cell types across tissues,
organs, and systems. The advancement of single-cell technologies and generation of rich …

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 …

Biomarkers selection and mathematical modeling in biological age estimation

SEC Bafei, C Shen - npj Aging, 2023 - nature.com
Biological age (BA) is important for clinical monitoring and preventing aging-related
disorders and disabilities. Clinical and/or cellular biomarkers are measured and integrated …

Age-net: An MRI-based iterative framework for brain biological age estimation

K Armanious, S Abdulatif, W Shi… - … on Medical Imaging, 2021 - ieeexplore.ieee.org
The concept of biological age (BA)-although important in clinical practice-is hard to grasp
mainly due to the lack of a clearly defined reference standard. For specific applications …

Deep learning enables automatic adult age estimation based on CT reconstruction images of the costal cartilage

T Lu, Y Diao, X Tang, F Fan, Z Peng, M Zhan, G Liu… - European …, 2023 - Springer
Objective Adult age estimation (AAE) is a challenging task. Deep learning (DL) could be a
supportive tool. This study aimed to develop DL models for AAE based on CT images and …

Using blood test parameters to define biological age among older adults: association with morbidity and mortality independent of chronological age validated in two …

J Drewelies, G Hueluer, S Duezel, VM Vetter… - Geroscience, 2022 - Springer
Biomarkers defining biological age are typically laborious or expensive to assess. Instead, in
the current study, we identified parameters based on standard laboratory blood tests across …

Comparison of biological age prediction models using clinical biomarkers commonly measured in clinical practice settings: AI techniques vs. traditional statistical …

CY Bae, Y Im, J Lee, CS Park, M Kim… - Frontiers in Analytical …, 2021 - frontiersin.org
In this work, we used the health check-up data of more than 111,000 subjects for analysis,
using only the data with all 35 variables entered. For the prediction of biological age …

[HTML][HTML] Apparent age prediction from faces: A survey of modern approaches

O Agbo-Ajala, S Viriri, M Oloko-Oba, O Ekundayo… - Frontiers in big …, 2022 - frontiersin.org
Apparent age estimation via human face image has attracted increased attention due to its
numerous real-world applications. Predicting the apparent age has been quite difficult for …

A machine learning-based data mining in medical examination data: a biological features-based biological age prediction model

Q Yang, S Gao, J Lin, K Lyu, Z Wu, Y Chen, Y Qiu… - BMC …, 2022 - Springer
Background Biological age (BA) has been recognized as a more accurate indicator of aging
than chronological age (CA). However, the current limitations include: insufficient attention to …

Evaluation of data collection bias of third molar stages of mineralisation for age estimation in the living

I de Oliveira Santos, IP Baptista… - Forensic Sciences …, 2024 - academic.oup.com
Age assessment of the living is a fundamental procedure in the process of human
identification, in order to guarantee fair treatment of individuals, which has ethical, civil …