Menopause

Predicting Osteoporosis Risk from Knee Radiographs and Clinical Features through Deep Learning: A Multimodal Approach.

BACKGROUND: Osteoporosis is a prevalent skeletal disease with high morbidity rates in developing countries due to limited access to gold-standard dual-energy X-ray absorptiometry (DEXA) scanning. This study explores a cost-effective alternative using deep learning to analyze knee radiographs alongside clinical parameters. METHODOLOGY: We developed a dual-stream approach using 239 knee X-ray images...

Trajectories and outcomes in patients with cardiogenic shock receiving heart replacement therapies.

BACKGROUND: Data describing trajectories of cardiogenic shock (CS) patients undergoing heart replacement therapies (HRT) remain limited. We aimed to compare CS patients receiving HRT vs none during index CS hospitalization. METHODS: We retrospectively analyzed the Cardiogenic Shock Working Group (CSWG) registry (2021-2024). CS severity was characterized using CSWG definitions of Society for Cardio...

Integrating Machine Learning into Fracture Liaison Services: Toward precision risk stratification in osteoporosis care: A prospective cohort study.

BACKGROUND: Traditional fracture risk assessment tools have limitations in accurately predicting re-fracture risk. Machine learning (ML) approaches of...

Whole-transcriptome sequencing and machine learning detect molecular signatures of endometrial cancer in non-invasive vaginal swabs.

OBJECTIVE: Current tissue-based methods for ruling out endometrial cancer in symptomatic women are highly invasive. We explored whether non-invasive v...

Apoptotic extracellular vesicles act as master regulators of the bone healing niche.

Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed cell death, have emerged as pivotal regulators and...

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy.

The distribution of produced isotopes during proton therapy can be imaged with Positron Emission Tomography (PET) to verify dose delivery. However, bi...

Study on material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps.

To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on netwo...

Cutting-edge advances in endocrine therapy for breast cancer (Review).

Endocrine therapy remains one of the primary treatment modalities for estrogen receptor (ER) positive breast cancer, serving a pivotal role in improvi...

Hot flashes linked to linguistic markers of cognitive impairment: observational study of social media posts.

OBJECTIVES: This study analyzes social media data from Reddit, using artificial intelligence and natural language processing, to explore cognitive cha...

Interpretable LightGBM model with SHAP analysis predicts non-excellent response to initial radioiodine therapy in differentiated thyroid carcinoma.

PURPOSE: To identify independent determinants influencing therapeutic outcomes of initial radioactive iodine (1 3 1I) therapy in differentiated thyroi...

Predicting Long-Term Depression Progression in Parkinson's Disease: A Machine-Learning Survival Analysis and Risk Score.

BACKGROUND: Depression in Parkinson's disease (dPD) is common and heterogeneous, impairs quality of life, and may accelerate disease progression. Tool...

Short-chain fatty acid-producing microbes differentiate non-infectious and infectious neutropenic fever in leukemia.

UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic malignancies, but its cause is frequently unknown...

BirdNET: Automated Detection for Monitoring Critically Endangered Lemurs from the Maromizaha Forest.

Passive acoustic monitoring (PAM) is a widely used technique in wildlife research, enabling the collection of extensive data on species presence, dist...

[A smart way back to work-The impact of digital rehabilitation on return-to-work outcomes after hand injuries].

BACKGROUND: Restoring the ability to work after hand injuries is a central goal of rehabilitation. Digital therapy applications are increasingly findi...

Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening.

Abdominal aortic calcification (AAC), a marker of subclinical cardiovascular disease, has previously shown to be associated with low BMD and fracture....

Identification of biomarkers associated with endoplasmic reticulum stress-related cell death in osteoporosis based on bulk and single-cell transcriptomic analyses and experimental validation.

Osteoporosis (OP) is a metabolic bone disease characterized by low bone mineral density (BMD), and its pathogenesis involves endoplasmic reticulum (ER...

From reductionism to complex systems: Paradigm shift and knowledge evolution in competitive sports research using BERTopic.

BACKGROUND AND PURPOSE: With the exponential growth in the volume of competitive sports research, traditional bibliometric methods based on keyword co...

Multi-field coupling enhanced plasmonic Moδ+ active site to efficiently hydrolyze ammonia borane.

Rapid recombination of photogenerated carriers and weak driving forces to inject hot electrons are critical bottlenecks in solar-driven ammonia borane...

Impact of an artificial intelligence-driven triage system on workflow and transfer efficiency: stratified analysis of 4548 admissions to four thrombectomy hubs receiving transfers from sixty spokes.

BACKGROUND: We aimed to evaluate the impact of implementing an artificial intelligence (AI)-enabled acute ischaemic stroke triage system on workflow e...

The Effect of Parrot Therapy on During Venipuncture Pain in Chronic Patients.

OBJECTIVE: There are no randomized controlled trial (RCT) in the current literature comparing live, robotic, and visual animal-based therapies. This s...