Menopause

Rotenone impairs osteoclastogenesis by inhibiting cell migration: insights from machine learning.

PURPOSE: The migration and fusion of osteoclast precursors (OCPs) are critical steps in osteoclastog...

Response to comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Multimodal data analysis reveals asynchronous aging dynamics across female reproductive organs.

Female reproductive aging has systemic health implications, yet tissue-level dynamics remain poorly ...

Diagnosis of Acromegaly.

The clinical presentation of acromegaly reflects systemic effects of chronic GH and IGF-I excess. Di...

Beyond binary classification: a pilot study of imaging-derived glioma severity modeling using T1-weighted and diffusion MRI radiomics.

OBJECTIVE: Gliomas are heterogeneous brain tumors with variable biology and treatment response. Accu...

Integrative gene ontology-driven analysis of the eutopic endometrium reveals key dysregulated functionomes and pathways in endometriosis.

BACKGROUND: Endometriosis is a chronic estrogen-dependent inflammatory disorder associated with pelv...

Development of machine learning models for predicting early pregnancy outcomes based on β-hCG, progesterone, and estradiol.

OBJECTIVE: This study aims to develop a machine learning model for predicting early pregnancy outcom...

Attack repertoires in outbred male CD1-mice are associated with nucleus accumbens neuroligin-2.

Aggression may be behaviorally distinguished by reactive or appetitive properties. Here, we use a mo...

Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports.

OBJECTIVES: Coronary computed tomography angiography (CCTA) has become a cornerstone in non-invasive...

Game of clones: decipher lineage plasticity in hormone-driven cancers.

Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormo...

Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning.

Many existing studies on federated learning (FL) for segmentation primarily assume that all client d...

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

A hybrid CNN-XLSTM-GRU deep learning model with autoencoder-based feature selection for hypothyroidism diagnosis.

Hypothyroidism, caused by reduced thyroid-hormone production, is often difficult to diagnose because...

In vivo CAR-cell therapy: current challenges and emerging therapeutic advances.

In vivo chimeric antigen receptor (CAR) cell therapy is undergoing a transformative shift from conve...

An AI Based Screening Tool for Detection of Cerebral Venous Thrombosis on Non-Contrast Brain CT.

While non-contrast computed tomography (NCCT) is the primary ‎imaging modality in emergency settings...

Impact of land use on bus driver inattentiveness: Insight into crash risks.

OBJECTIVE: This study examines how roadside land-uses, namely commercial, residential, educational, ...

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 dis...

Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy.

BACKGROUND: Accurate prediction of pathological complete response (pCR) after preoperative chemoradi...

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, demonstr...

Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data.

Early assessment of depressive symptoms is essential for scalable and personalized mental health car...

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 o...