Results 31 to 40 of about 11,147,694 (408)

Aging and Bone

open access: yesJournal of Dental Research, 2010
Bones provide mechanical and protective function, while also serving as housing for marrow and a site for regulation of calcium ion homeostasis. The properties of bones do not remain constant with age; rather, they change throughout life, in some cases improving in function, but in others, function deteriorates. Here we review the modifications in the
Adele L. Boskey, Rhima M. Coleman
openaire   +3 more sources

Transient peak-strain matching partially recovers the age-impaired mechanoadaptive cortical bone response [PDF]

open access: yes, 2018
Mechanoadaptation maintains bone mass and architecture; its failure underlies age-related decline in bone strength. It is unclear whether this is due to failure of osteocytes to sense strain, osteoblasts to form bone or insufficient mechanical stimulus ...
A Carriero   +64 more
core   +3 more sources

Traditional and New Methods of Bone Age Assessment-An Overview

open access: yesJournal of Clinical Research in Pediatric Endocrinology, 2020
Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology.
Monika Prokop-Piotrkowska   +4 more
semanticscholar   +1 more source

The relationship between adiposity, bone density and microarchitecture is maintained in young women irrespective of diabetes status [PDF]

open access: yes, 2017
Background: The relationship between bone health and adiposity and how it may be affected in people with chronic metabolic conditions is complex. Methods: 17 women with Type 1 diabetes mellitus (T1DM) and 9 age-matched healthy women with a median ...
Abdalrahaman, N.   +7 more
core   +1 more source

The RSNA Pediatric Bone Age Machine Learning Challenge.

open access: yesRadiology, 2019
Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze AI ...
S. Halabi   +17 more
semanticscholar   +1 more source

Bone ageing and HIV [PDF]

open access: yesRetrovirology, 2010
As HIV-infected patients live longer they are experiencing diseases normally associated with ageing, sometimes at higher frequency and at younger ages than expected. Low bone mineral density (BMD) and osteoporosis is one example. Rates of low BMD are high in HIV-infected patients and fracture rates occur more commonly and at a younger age than the ...
openaire   +3 more sources

Molecular Basis of Bone Aging [PDF]

open access: yesInternational Journal of Molecular Sciences, 2020
A decline in bone mass leading to an increased fracture risk is a common feature of age-related bone changes. The mechanisms underlying bone senescence are very complex and implicate systemic and local factors and are the result of the combination of several changes occurring at the cellular, tissue and structural levels; they include alterations of ...
Addolorata Corrado   +4 more
openaire   +4 more sources

Thyroid hormone status within the physiological range affects bone mass and density in healthy men at the age of peak bone mass [PDF]

open access: yes, 2011
Context: The hormonal factors involved in the regulation of peak bone mass (PBM) in men have not been fully investigated. Apart from gonadal steroids and somatotropic hormones, thyroid hormones are known to affect bone maturation and homeostasis and are ...
Fiers, Tom   +6 more
core   +2 more sources

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

open access: yesFrontiers 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   +5 more
doaj   +1 more source

Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs.

open access: yesRadiology: Artificial Intelligence, 2020
Purpose To develop a deep learning approach to bone age assessment based on a training set of developmentally normal pediatric hand radiographs and to compare this approach with automated and manual bone age assessment methods based on Greulich and Pyle (
I. Pan   +6 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy