Endocrinology

Osteoporosis

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

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Influence of sample size and machine learning algorithms on digital soil nutrient mapping accuracy.

The objective of this study is to evaluate and compare the performance of different machine learning...

Machine-Learning Molecular Dynamics Study on the Structure and Glass Transition of Calcium Aluminosilicate Glasses.

Calcium aluminosilicate (CAS) glass systems represent an important class of materials for industrial...

The role of electrical stimulation in bone regeneration: mechanistic insights and therapeutic advances.

Bone regeneration is a complex biological process that involves the coordinated action of osteoblast...

Interfaces govern the structure of angstrom-scale confined water solutions.

Nanoconfinement of aqueous electrolytes is ubiquitous in geological, biological, and technological c...

Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Conventional approaches to material decomposition in spectral CT face challenges related to precise ...

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Cardiovascular risk stratification based on traditional risk factors lacks precision at the individ...

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanis...

Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.

PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of os...

Heuristic Topological Graph Convolutional Network for Risk Prediction of Potentially Toxic Elements in Cultivated Soils.

Contamination of cultivated soils with potentially toxic elements (PTEs) poses a growing threat to g...

A pipeline for mouse brain registration to an atlas after in vivo neurophysiological recordings.

Neurophysiological recordings and histological examinations, along with behavioral observations, are...

Osteoarthritis progression pattern based on patient specific characteristics using machine learning.

This study aimed to identify key factors associated with different progression patterns of early ost...

Machine learning-driven optimization of arsenic phytoextraction using amendments.

Exogenous amendments are crucial for enhancing the remediation efficiency of arsenic-contaminated so...

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (...

Machine learning molecular dynamics reveals atomistic mechanisms of ion beam damage in calcium fluoride.

Calcium fluoride (CaF) crystals are regarded as ideal materials for optical components due to their ...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human l...

Deep Learning for Osteoporosis Diagnosis Using Magnetic Resonance Images of Lumbar Vertebrae.

This work uses T1, STIR, and T2 MRI sequences of the lumbar vertebrae and BMD measurements to identi...

CalTrig: A GUI-Based Machine Learning Approach for Decoding Neuronal Calcium Transients in Freely Moving Rodents.

Advances in in vivo Ca imaging using miniature microscopes have enabled researchers to study single-...

Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography.

Due to symptomatic gait imbalance and a high incidence of falls, patients with cervical disease-incl...

Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know?

PURPOSE OF REVIEW: This review summarizes the role of incidentally and non-incidentally discovered c...

Analysis of Protein-Protein Interactions in CC125 by Co-Fractionation Mass Spectrometry.

, a unicellular eukaryotic green alga, is an important biological model. Previous studies on protein...

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