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Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Jul 05, 2022. (Total: 48040 Documents since 2012)
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Query Trace: Osteoporosis[original query]>>Original Studies[Product Type]
Identifying Causes of Fracture Beyond Bone Mineral Density: Evidence from Human Genetics.
Lu Tianyuan et al. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research 2022
Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs using an Adaptation of the Genant Semiquantitative Criteria.
Dong Qifei et al. Academic radiology 2022
Fully automated radiomic screening pipeline for osteoporosis and abnormal bone density with a deep learning-based segmentation using a short lumbar mDixon sequence.
Zhao Yinxia et al. Quantitative imaging in medicine and surgery 2022 12(2) 1198-1213
Genetic variants in obesity-related genes and the risk of osteoporotic fracture. The Hortega Follow-up Study.
Usategui-Martín Ricardo et al. Frontiers in bioscience (Landmark edition) 2022 27(1) 32
Integrative Analysis of LGR5/6 Gene Variants, Gut Microbiota Composition and Osteoporosis Risk in Elderly Population.
Di Dong-Sheng et al. Frontiers in microbiology 2021 12765008
Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography.
Ho Chan-Shien et al. Archives of osteoporosis 2021 16(1) 153
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening.
Adams Johnathan W et al. IEEE journal of translational engineering in health and medicine 2021 94900907
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning.
Nissinen Tomi et al. Bone reports 2021 14101070
The development of a reliable and valid instrument to measure the osteoporosis-related knowledge: validation of the Hungarian version of Osteoporosis Knowledge Assessment Tool (OKAT).
Tardi Peter et al. BMC public health 2021 21(Suppl 1) 1515
Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.
Lim Hyun Kyung et al. PloS one 2021 16(3) e0247330
The Utility of Genetic Risk Score to Improve Performance of FRAX for Fracture Prediction in US Postmenopausal Women.
Xiao Xiangxue et al. Calcified tissue international 2021 Feb
Integrative Analysis of Genomics and Transcriptome Data to Identify Regulation Networks in Female Osteoporosis.
Zhang Xianzuo et al. Frontiers in genetics 2020 11600097
Comprehensive Genetic Analysis of 128 Candidate Genes in a Cohort With Idiopathic, Severe, or Familial Osteoporosis.
Rocha-Braz Manuela G M et al. Journal of the Endocrine Society 2020 Dec 4(12) bvaa148
Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates.
Yamamoto Norio et al. Biomolecules 2020 Nov 10(11)
Integration of a vertebral fracture identification service into a fracture liaison service: a quality improvement project.
Ong T et al. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2020 Nov
MEPE loss-of-function variant associates with decreased bone mineral density and increased fracture risk.
Surakka Ida et al. Nature communications 2020 11(1) 4093
Protocol for a multicentre, prospective cohort study of clinical, proteomic and genomic patterns associated with osteoporosis to develop a multidimensional fracture assessment tool: the PoCOsteo Study.
Khashayar Patricia et al. BMJ open 2020 Sep 10(9) e035363
Pleiotropic genomic variants at 17q21.31 associated with bone mineral density and body fat mass: a bivariate genome-wide association analysis.
Wei Xin-Tong et al. European journal of human genetics : EJHG 2020 Sep
Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study.
Forgetta Vincenzo et al. PLoS medicine 2020 Jul 17(7) e1003152
Practical Vitamin D Supplementation Using Machine Learning.
Fugere Tyler et al. Journal of bone metabolism 2020 May 27(2) 111-117
Association of Urinary and Blood Concentrations of Heavy Metals with Measures of Bone Mineral Density Loss: a Data Mining Approach with the Results from the National Health and Nutrition Examination Survey.
Ximenez João Paulo B et al. Biological trace element research 2020 Apr
Deep Learning Based High-Resolution Reconstruction of Trabecular Bone Microstructures from Low-Resolution CT Scans using GAN-CIRCLE.
Guha Indranil et al. Proceedings of SPIE--the International Society for Optical Engineering 2020 Feb 11317
The molecular landscape of osteogenesis imperfecta in a Brazilian tertiary service cohort.
Fernandes A M et al. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2020 Mar
Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs.
Lee Ki-Sun et al. Journal of clinical medicine 2020 Feb 9(2)
Radiomics for classification of bone mineral loss: A machine learning study.
Rastegar S et al. Diagnostic and interventional imaging 2020 Feb
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records.
Wang Yanshan et al. Journal of biomedical informatics 2019 Dec 103364
Developing pathways to clarify pathogenicity of unclassified variants in Osteogenesis Imperfecta genetic analysis.
Balasubramanian Meena et al. Molecular genetics & genomic medicine 2019 Sep e912
Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning.
Zhang M et al. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2019 Aug
Identification of 613 new loci associated with heel bone mineral density and a polygenic risk score for bone mineral density, osteoporosis and fracture.
Kim Stuart K et al. PloS one 2018 13(7) e0200785
Assessing the Genetic Correlations Between Blood Plasma Proteins and Osteoporosis: A Polygenic Risk Score Analysis.
Liang Xiao et al. Calcified tissue international 2018 Oct
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