Osteoporosis

Stochastic intracellular calcium dynamics show preserved structures identified by deep learning classification.

Intracellular calcium ions (Ca2+) exhibit diverse dynamical behaviors linked with cellular physiological states related to health and disease. While deterministic models predict how biochemical parameters create distinct dynamical regimes - steady states, oscillations, bursting, chaos, and multiple periodicity - real biological systems are inherently stochastic due to finite molecular populations....

-Stacked Machine Learning for Timber Identification Using LaserInduced Breakdown Spectroscopy.

This study presents a new approach to wood species identification using laser-induced breakdown spectroscopy (LIBS) combined with stacked machine learning techniques. The research analyzed 700 samples comprising nine Dalbergia species and nine additional tropical timber species, utilizing a handheld LIBS analyzer. A stacking methodology was developed by integrating three support vector machine (SV...

Identification of PANoptosis-Related Biomarkers in Spinal Cord Injury (SCI) through Multi-Omics Analysis and Machine Learning.

BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder lacking early diagnostic biomarkers and precise therapeutic targets. PANoptosis...

Contemporary Trends in Calcium Levels and Related Clinical Conditions: A Two Decade Analysis of U.S. National Health and Nutritional Examination Survey Data.

Ambulatory hypercalcemia is a proxy for primary hyperparathyroidism. Reports of an increased incidence of hypercalcemia and undiagnosed primary hyperp...

Coronary artery calcium score - emerging role for opportunistic screening and novel applications.

Coronary artery calcium (CAC) can be identified on thoracic CT performed for a variety of clinical indications, including routine thoracic CT, lung ca...

Extruded droplet-on-demand (X-DoD) bioprinting for controlled iPSC-based functional cortical network formation.

Engineered three-dimensional (3D) neural constructs hold significant promise for repairing neural tissue damage and recapitulating the human brain in ...

Dynamic variability of serum sodium, potassium, and calcium and mortality after acute myocardial infarction: insights from traditional and machine learning approaches.

Association between deep learning-based coronary artery calcium score on non-gated chest CT and progression of chronic kidney disease: a retrospective observational cohort study.

Rhythm-Stratified Performance of an Artificial Intelligence-Electrocardiographic Aortic Stenosis Score: Alignment with Computed Tomography Calcium in Atrial Fibrillation.

SuperLearner approach for predicting imminent risk of fracture in older Chinese patients with newly diagnosed osteoporosis based on their routine blood test markers.

Detection of calcified plaques: comparison between coronary CT angiography and thin-slice non-contrast CT with deep learning-aided image registration.

OBJECTIVES: To investigate whether coronary CT angiography (CCTA) misses calcified plaques detected by thin-slice non-contrast CT (NCCT). MATERIALS AN...

Patient specific optimization and planning of vertebral augmentation in osteoporosis: Finite element and Artificial Intelligence approaches.

BACKGROUND: Osteoporotic Vertebral Compression Fractures (OVCFs) are responsible for significant disability, especially among individuals with low Bon...

Dimorphic neural network architecture prioritizes sexual-related behaviors in male Caenorhabditis elegans.

Neural network architecture determines its functional output. However, the detailed mechanisms are not well characterized. In this study, we focused o...

Deep-learning framework for osteoporosis screening on low-dose X-rays: Addressing image quality variability and cross-ethnic database Heterogeneity.

The AIXA Osteo model architecture (X1AI-Osteo) has undergone internal validation in Taiwan, demonstrating its capability to evaluate osteoporosis and ...

Association of the Dietary Index for Gut Microbiota with site-specific Osteoporosis: Insights from machine learning applied to a national population.

BACKGROUND: The association between the Dietary Index for Gut Microbiota (DI-GM) and site-specific osteoporosis risk remains unclear. METHODS: This st...

Imaging without biology: limitations of CT-derived psoas muscle volume as a standalone diagnostic criterion for sarcopenia.

We comment on the study by Choi et al., which proposes CT-derived psoas muscle volume (PV) as a diagnostic indicator for sarcopenia. The study is well...

STC2-mediated calcium homeostasis dysregulation in the osteosarcoma microenvironment: Insights from single-cell sequencing and machine learning.

BACKGROUND: Osteosarcoma (OS) is an aggressive bone malignancy with a poor prognosis. Dysregulated calcium homeostasis may contribute to OS progressio...

Bone Magnetic Resonance Imaging: From Conventional Methods to AI-Driven Solutions.

With global population aging and increased life expectancy, bone diseases affect a substantial proportion of individuals worldwide, imposing a signifi...

The multi-target cardiac protection mechanism of butylphthalide and AI-driven precision medicine: From molecular basis to clinical translation.

Butylphthalide (NBP) is a lipophilic small-molecule drug characterized by its multi-target and multi-pathway regulatory properties. Initially employed...

A multiparameter model (OsteoSC-M3) for early detection and risk stratification of osteoporosis in women: a multicentre cohort study in China.

BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accuracy, and the gold-standard diagnostic method, dua...