Endocrinology

Osteoporosis

Latest AI and machine learning research in osteoporosis for healthcare professionals.

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Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data.

Osteoporosis is treatable but often overlooked in clinical practice. We aimed to construct predictio...

Bone mineral density response prediction following osteoporosis treatment using machine learning to aid personalized therapy.

Osteoporosis is a global health problem for ageing populations. The goals of osteoporosis treatment ...

Methane production from wheat straw pretreated with CaO/cellulase.

There are various lignocellulosic biomass pretreatments that act as attractive strategies to improve...

Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning.

PURPOSE: The purpose of this study was to develop and evaluate an algorithm that can automatically e...

A deep learning system for automated, multi-modality 2D segmentation of vertebral bodies and intervertebral discs.

PURPOSE: Fractures in vertebral bodies are among the most common complications of osteoporosis and o...

Machine learning analysis of gene expression profile reveals a novel diagnostic signature for osteoporosis.

BACKGROUND: Osteoporosis (OP) is increasingly prevalent with the aging of the world population. It i...

Signal-to-signal neural networks for improved spike estimation from calcium imaging data.

Spiking information of individual neurons is essential for functional and behavioral analysis in neu...

Application of artificial intelligence in diagnosis of osteoporosis using medical images: a systematic review and meta-analysis.

Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...

Prioritizing Pain-Associated Targets with Machine Learning.

While hundreds of genes have been associated with pain, much of the molecular mechanisms of pain rem...

Development of Human iPSC-Derived Functional Neuronal Networks on Laser-Fabricated 3D Scaffolds.

Neural progenitor cells generated from human induced pluripotent stem cells (hiPSCs) are the forefro...

Bone strain index as a predictor of further vertebral fracture in osteoporotic women: An artificial intelligence-based analysis.

BACKGROUND: Osteoporosis is an asymptomatic disease of high prevalence and incidence, leading to bon...

Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium.

PURPOSE: We aimed to develop a deep learning (DL)-based algorithm for automated quantification of ao...

Deep convolutional neural networks to predict cardiovascular risk from computed tomography.

Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on al...

Integrated functional neuronal network analysis of 3D silk-collagen scaffold-based mouse cortical culture.

Bioengineered 3D tunable neuronal constructs are a versatile platform for studying neuronal network ...

Multi-functionalized micro-helical capsule robots with superior loading and releasing capabilities.

The functionalization of microrobots is essential for realizing their biomedical application in targ...

Bilateral Ovarian Leydig Cell Tumors in a Postmenopausal Woman Causing Hirsutism and Virilization.

OBJECTIVE: To evaluate a rare case of a postmenopausal woman with hirsutism and virilization due to ...

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