Menopause

Artificial Intelligence-Enhanced Risk Stratification in Non-ST-Segment Elevation Myocardial Infarction: The Incremental Prognostic Value of the Modified Glasgow Prognostic Score in Predicting 36-Month Mortality.

OBJECTIVE: Current clinical guidelines for non-ST-segment elevation myocardial infarction (NSTEMI) emphasize the duration of dual antiplatelet therapy (DAPT) based on scores such as the Predicting Bleeding Complications in Patients Undergoing Stent Implantation and Subsequent Dual Antiplatelet Therapy (PRECISE-DAPT) score and the Dual Antiplatelet Therapy (DAPT) score. However, these anatomical an...

Generative AI emotion recognition from bodily gestures and vocal tone reveals modality-specific performance and positivity bias.

Advances in generative artificial intelligence (GenAI) have prompted interest in its application in sensitive fields, including mental health. Yet the validity of its nonverbal social-cognitive abilities remains unclear. This study addresses two issues that probe GenAI's social intelligence: its capacity to interpret nonverbal channels (bodily gestures and vocal tone) with accuracy comparable to h...

Decoding cancer with artificial intelligence: Transforming research, diagnosis, and therapy with future insights.

Cancer remains one of the leading global health burdens, with increasing complexity in genomic, imaging, and clinical datasets presenting significant ...

Cough Hypersensitivity in Gastroesophageal Reflux-Induced Chronic Cough: Insights from Reflux Monitoring and High-Resolution Manometry.

BACKGROUND: Cough hypersensitivity contributes to the heterogeneity of gastroesophageal reflux-induced chronic cough (GERC), but its associated factor...

AI for Opportunistic Identification of BMD and Bone Microarchitecture: A Narrative Review.

Artificial intelligence (AI) has rapidly transformed the potential for opportunistic assessment of bone mineral density (BMD) and bone microarchitectu...

Development of a Multimodal Machine Learning Model for Predicting Second Osteoporotic Vertebral Compression Fractures.

PURPOSE: Osteoporosis increases the probability of osteoporotic vertebral compression fractures (OVCF), and the resultant pain severely limits physica...

Artificial Intelligence Based Skin Analysis Models for Predicting Visual Grades and Device Measured Physiological Values From Facial Images.

OBJECTIVE: This study aimed to develop and validate an artificial intelligence (AI)-based skin assessment framework capable of predicting both dermato...

Graph attention-guided multi-modal learning for high-throughput screening of environmental chemicals associated with breast cancer risk.

The rapid expansion of chemical production and use has increased human exposure to environmental chemicals that can impact biological pathways relevan...

Exploratory immunomonitoring during radiochemotherapy in HNSCC and machine-learning reveal immune parameters associated with disease-free survival.

Immunological biomarkers are increasingly relevant for personalized cancer treatment, but peripheral blood-derived biomarkers are not yet used to guid...

Deep learning approaches to predict femoral neck T-score and osteopenia/osteoporosis status from wrist accelerometry data.

Osteoporosis is a prevalent condition with substantial health and economic implications. Although physical activity is associated with bone health, th...

Gut microbiota and blood biomarkers as correlating factors in patients with postoperative delirium: analysis of three prospective observational studies.

Postoperative delirium is associated with both gut microbiota alterations and Tau phosphorylation; however, how these factors interact and jointly con...

Non-Oncology Biomarkers in Precision Medicine: A Narrative Review.

Precision medicine has revolutionized oncology by leveraging biomarkers for individualized therapy selection, early diagnosis, and real-time disease m...

Integrative single-cell and spatial transcriptomic analysis reveals 4-HNE-related stromal remodeling in lung adenocarcinoma.

BACKGROUND: 4-HNE is a lipid peroxidation product involved in oxidative stress, tumor microenvironment remodeling, and tumor progression. This study a...

Comparison of dual-energy X-ray absorptiometry and lumbar radiographs using deep learning for osteoporosis diagnosis.

INTRODUCTION: Osteoporosis and osteopenia, characterized by reduced bone mineral density (BMD), increase fracture risk, particularly in older adults. ...

Integrated multi-omics, machine learning, network toxicology, and molecular docking reveal potential mechanisms underlying methyl 4-hydroxybenzoate-associated breast cancer.

Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a potential association with exposure to methyl 4-hy...

Machine learning-based screening model for osteoporosis in Chinese postmenopausal women: a nationwide study with prospective fracture validation.

UNLABELLED: This study develops a machine learning model to predict osteoporosis in Chinese postmenopausal women. The model was trained using the larg...

Identification of Vital Genes Common to Dilated and Hypertrophic Cardiomyopathy Using Machine Learning and Bioinformatics.

BACKGROUND: Heart failure (HF) is a complex clinical syndrome and a leading cause of hospitalization and mortality worldwide, with significantly incre...

Non-calcified plaque volume assessed by coronary computed tomographic angiography: prognostic significance, reproducibility, and temporal progression.

AIMS: Coronary artery disease remains the leading cause of cardiovascular mortality worldwide, with a substantial proportion of acute coronary events ...

A clinical decision support tool for accurate hip fracture prediction: A nationwide cohort study.

BACKGROUND: Although hip fractures are commonly associated with functional decline, increased morbidity, and mortality, accurate models for both short...

Predictive, preventive, and personalized medicine in statin-treated patients with NSTE-ACS, HFpEF, and type 2 diabetes: a data-driven model for long-term residual risk assessment.

BACKGROUND: Despite significant advances in guideline-directed medical therapy (GDMT), statin-treated patients with non-ST-elevation acute coronary sy...