Menopause

AI-derived bone mineral density from standard radiographs compared with DXA for fracture prediction in a 10-year real-world cohort study.

UNLABELLED: AI-derived bone mineral density from routine radiographs showed strong agreement with DXA and comparable ability to predict incident fractures. This opportunistic approach may support osteoporosis screening and early identification of high-risk individuals without reliance on dedicated DXA examinations. INTRODUCTION: Osteoporosis is a major cause of fragility fractures, yet limited acc...

Embryo transfer in dairy herds: a comprehensive review of factors affecting pregnancy success from donor to embryo and recipient.

Embryo transfer (ET) is a fundamental biotechnology in modern dairy production, utilized to maximize the propagation of superior genetics and circumvent fertility limitations associated with high milk production. The physiological, environmental, and managerial elements that together determine pregnancy per embryo transfer (P/ET) are systematically analyzed in this paper. In order to increase the ...

Clinical Implementation of Opportunistic Screening for Osteoporosis.

Opportunistic screening leverages existing imaging examinations performed for unrelated routine clinical indications to systematically extract quantit...

Allergic rhinitis in the elderly. In collaboration with ARIA guidelines.

Rhinitis in the elderly represents a unique challenge, due to specific clinical profiles, needs and expectations. Allergic rhinitis (AR) in the elderl...

Prenatal exposure to residential greenness and artificial light at night and neurodevelopmental outcomes in children aged 4-12 years: A retrospective cohort study in China.

BACKGROUND: Neurodevelopmental outcomes may be shaped by modifiable residential environmental exposures during pregnancy; however, in rapidly urbanizi...

Predicting early-stage breast cancer disease-free survival and adjuvant therapy benefit from multimodal information using deep learning.

Accurate prediction of disease-free survival (DFS) is essential for tailoring adjuvant regimens and improving clinical outcomes in early-stage breast ...

Computer-aided diagnosis system for thoracic computed tomography of rib fractures in older emergency patients: A preliminary study.

The peculiarities of older individuals related to osteoporosis and hyperostosis may lead to a higher rate of misdiagnosis of rib fractures on computed...

Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study.

BACKGROUND: As the histopathology workforce continues to struggle and service demand continues to increase, it has become prudent to consider viable a...

The Concept of Shaping Applied to Locomotor Interventions: Clinical and Robotic Strategies to Facilitate and Progress Variable Stepping Training at Higher Intensities.

High-intensity training (HIT) focused on stepping practice consistently improves clinical locomotor outcomes in individuals with neurologic injury. Ho...

Identifying hepatocellular carcinoma patients at risk of early non-response after first-cycle transarterial chemoembolization: A reproducible machine learning study.

PURPOSE: Transarterial chemoembolization (TACE) is standard therapy for intermediate-stage hepatocellular carcinoma (HCC), but early non-response afte...

Deep Learning-Based Prediction of Heart Failure Readmission Using Longitudinal Cardiac Device Data.

BACKGROUND: Heart failure (HF) is a leading cause of hospitalization and readmission. Cardiac implantable electronic devices (CIEDs) continuously capt...

An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling Study.

BACKGROUND: Synthetic data generation (SDG) has emerged as a promising solution to address data scarcity in health care, where privacy concerns, regul...

A qualitative interview study of acute care surgeons' approach to literature acquisition: Are you up to date on staying up to date?

INTRODUCTION: Acute Care Surgery (ACS) surgeons care for a wide variety of life-threatening surgical conditions and have a high burden of night and we...

Manual therapy promotes prefrontal neural efficiency in chronic non-specific neck pain: An fNIRS-Based randomized controlled trial.

BACKGROUND: Chronic non-specific neck pain (CNP) involves central sensitization and maladaptive cortical reorganization. The central neurophysiologica...

Intelligent Breathing Electronic Skin Inspired by Nepenthes for Active Sweat Management, Multimodal Sensing and High-Fidelity Electromyographic Teleoperation Using Machine Learning.

Electronic skin (e-skin), a stretchable, conformable, and multimodal sensing platform, is rapidly advancing in healthcare, robotics, and human-machine...

Evaluation of the performance of large language models in the management of hip and knee osteoarthritis: analysis of EULAR 2023 recommendations.

BACKGROUND: Clinical practice guidelines play a pivotal role in the management of complex and chronic conditions such as osteoarthritis (OA). However,...

Multifunctional Bioengineered Scaffolds and Adjunct Therapeutic Strategies for Diabetic Foot Ulcers.

Diabetic foot ulcers (DFUs) are chronic, non-healing wounds that affect up to 34% of diabetic patients. DFUs are complicated by infection in nearly 60...

AI-driven discovery of synergistic combinations from Psoralea corylifolia fruit for treating osteoporosis.

BACKGROUND: Estrogen-deficient osteoporosis demands safe and effective therapies. Psoralea corylifolia fruit (PCF), a phytoestrogenic herbal medicine ...

Exploring the ROS-Related Therapeutic Mechanism of Bushen Huoxue Decoction in Postmenopausal Osteoporosis through Transcriptomics and Network Pharmacology.

INTRODUCTION: Postmenopausal osteoporosis (PMOP) involves bone loss and fracture risk, driven by estrogen deficiency, oxidative stress, immune dysregu...

Quality and readability of AI-generated information on bipolar disorder: a cross-sectional content analysis.

BACKGROUND: Bipolar disorder is a clinically sensitive and diagnostically complex condition in which unclear or incomplete psychoeducational informati...