Risk assessment tools for osteoporosis and fractures in 2022

JJ Carey, PCH Wu, D Bergin - Best Practice & Research Clinical …, 2022 - Elsevier
Osteoporosis is one of the frequently encountered non-communicable diseases in the world
today. Several hundred million people have osteoporosis, with many more at risk. The …

A review of model evaluation metrics for machine learning in genetics and genomics

C Miller, T Portlock, DM Nyaga… - Frontiers in …, 2024 - frontiersin.org
Machine learning (ML) has shown great promise in genetics and genomics where large and
complex datasets have the potential to provide insight into many aspects of disease risk …

Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women

WC Hung, YL Lin, TT Cheng, WL Chin, LT Tu… - Osteoporosis …, 2024 - Springer
While FRAX with BMD could be more precise in estimating the fracture risk, DL-based
models were validated to slightly reduce the number of under-and over-treated patients …

[HTML][HTML] Risk factors associated with skeletal-related events following discontinuation of denosumab treatment among patients with bone metastases from solid tumors …

D Jacobson, B Cadieux, CS Higano, DH Henry… - Journal of Bone …, 2022 - Elsevier
Background Clinical practice guidelines recommend the use of bone-targeting agents for
preventing skeletal-related events (SREs) among patients with bone metastases from solid …

Identification of new genes and loci associated with bone mineral density based on mendelian randomization

Y Liu, G Jin, X Wang, Y Dong, F Ding - Frontiers in Genetics, 2021 - frontiersin.org
Bone mineral density (BMD) is a complex and highly hereditary trait that can lead to
osteoporotic fractures. It is estimated that BMD is mainly affected by genetic factors (about …

Machine learning to predict the progression of bone mass loss associated with personal characteristics and a metabolic syndrome scoring index

CH Cheng, CY Lin, TH Cho, CM Lin - Healthcare, 2021 - mdpi.com
A relationship exists between metabolic syndrome (MetS) and human bone health; however,
whether the combination of demographic, lifestyle, and socioeconomic factors that are …

Large Scale Identification of Osteosarcoma Pathogenic Genes by Multiple Extreme Learning Machine

Z Zhao, J Shi, G Zhao, Y Gao, Z Jiang… - Frontiers in Cell and …, 2021 - frontiersin.org
At present, the main treatment methods of osteosarcoma are chemotherapy and surgery. Its
5-year survival rate has not been significantly improved in the past decades. Osteosarcoma …

Expanding Approaches to Improve Orthopaedic Care Through the Application of Artificial Intelligence: Commentary on an article by Neil P. Sheth, MD, et al.:“Effects of …

MM Moran - JBJS, 2024 - journals.lww.com
Sheth et al. reported that pretreatment with abaloparatide can increase bone mineral density
in regions of the proximal femur that are in contact with the femoral stem of an implant in …

[HTML][HTML] Разработка прогностических клинико-генетических моделей риска развития первичного остеопороза с использованием нейросетевого обучения

БИ Ялаев, АВ Новиков… - Problems of …, 2024 - pmc.ncbi.nlm.nih.gov
ОБОСНОВАНИЕ. Остеопороз является распространенным возраст-зависимым
заболеванием с инвалидизирующими последствиями, ранняя диагностика которого …