Results 71 to 80 of about 447,031 (304)

Chronological and Skeletal Age in Relation to Physical Fitness Performance in Preschool Children

Frontiers in Pediatrics, 2021
Introduction: Physical fitness is an adaptive state that varies with an individual's growth and maturity status. Considering that the difference in skeletal maturity already existed among preschool children, this study was designed to determine the ...
Dandan Ke, Dajiang Lu, Guang Cai, Xiaofei Wang, Jing Zhang, Koya Suzuki   +5 more
doaj   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

A model for estimating body shape biological age based on clinical parameters associated with body composition

Clinical Interventions in Aging, 2012
Chul-Young Bae,1 Young Gon Kang,2 Young-Sung Suh,3 Jee Hye Han,4 Sung-Soo Kim,5 Kyung Won Shim61MediAge Research Center, Seoul, Korea; 2Chaum Power Aging Center, College of Medicine, CHA University, Seoul, Korea; 3Health Promotion Center, Keimyung ...
Bae CY, Kang YG, Suh YS, Han JH, Kim SS, Shim KW   +5 more
doaj  

Refining epigenetic prediction of chronological and biological age

Genome Medicine, 2023
Background Epigenetic clocks can track both chronological age (cAge) and biological age (bAge). The latter is typically defined by physiological biomarkers and risk of adverse health outcomes, including all-cause mortality.
Elena Bernabeu, Daniel L. McCartney, Danni A. Gadd, Robert F. Hillary, Ake T. Lu, Lee Murphy, Nicola Wrobel, Archie Campbell, Sarah E. Harris, David Liewald, Caroline Hayward, Cathie Sudlow, Simon R. Cox, Kathryn L. Evans, Steve Horvath, Andrew M. McIntosh, Matthew R. Robinson, Catalina A. Vallejos, Riccardo E. Marioni   +18 more
doaj   +1 more source

Observations related to chronologic and gynecologic age in pregnant adolescents. [PDF]

, 1984
A low chronologic age (less than or equal to 15 years) and low gynecologic age (less than or equal to 2 years) have been considered factors that increase medical complications among adolescent pregnant women. Gynecologic age (GA) is defined in this study
Felice, ME, Hollingsworth, DR, James, M, Shragg, P   +3 more
core  

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

The relationship between dental age, bone age and chronological age in underweight children

Journal of Pharmacy and Bioallied Sciences, 2013
Background and Objective: The knowledge of bone age and dental age is of great importance for pediatrician and pediatric dentist. It is essential for a pediatric dentist to formulate treatment plan and it is a source of complementary information for ...
Vinod Kumar, Karthik Venkataraghavan, Ramesh Krishnan, Kavitha Patil, Karishma Munoli, Sandhya Karthik   +5 more
doaj   +1 more source

Estimation of dental age by Nolla’s method using orthopantomographs among rural free residential school children [PDF]

, 2014
Introduction: Teeth and dental restorations are resistant to destruction by fire and the elements are therefore useful in identification. This permits accurate identification of a missing child or remains.
Nandlal B, Karthikeya Patil, Ravi S
core   +1 more source

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source