Menopause

Assessing osteosarcopenia using automated multi-structure-segmentation and Hounsfield unit-based analysis of lumbar muscles and vertebral bodies on computed tomography.

Sarcopenia and osteoporosis are prevalent age-related conditions that substantially increase the risk of falls, fractures, and functional decline. This study aimed to develop and clinically validate a fully automated computed tomography (CT)-based framework for simultaneous assessment of lumbar skeletal muscle and vertebral trabecular bone using a single axial image at the L3 level. We retrospecti...

The evolving role of artificial intelligence in optimizing treatment and patient selection in diabetic macular edema.

Anti-vascular endothelial growth factor (anti-VEGF) therapy is the mainstay of management for diabetic macular edema (DME), but marked variability in response, high injection frequency, and cumulative treatment burden highlight the need for tools that can individualize treatment beyond protocol-driven regimens. Artificial intelligence (AI) offers a pathway toward more individualized risk stratific...

The Negative Impact of a Non-Therapeutic Laparotomy in Patients With Inoperable Colorectal Peritoneal Metastases.

BACKGROUND: The peritoneum is the third most prevalent location for metastases of colorectal cancer. In patients with resectable disease, cytoreductiv...

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

PURPOSE: The migration and fusion of osteoclast precursors (OCPs) are critical steps in osteoclastogenesis and require substantial energy. Although ox...

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 understood. Here we integrate deep learning analys...

Diagnosis of Acromegaly.

The clinical presentation of acromegaly reflects systemic effects of chronic GH and IGF-I excess. Diagnostic delay frequently ranges from 6 to 10 year...

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. Accurate, non-invasive assessment of tumor aggressiven...

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 pelvic pain, infertility, and an increased risk of end...

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 outcomes by combining baseline levels and dynamic change...

Biological effects of ultrasonic cavitation in cancer therapy: from physics to mechanobiology.

The therapeutic efficacy of systemic treatments in cancer therapy is invariably limited by the biophysical barriers, including vascular endothelial ba...

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 model of operant aggression administration, in which...

IL11⁺ fibroblasts are implicated in non-response to anti-TNFα via fibrosis in inflammatory bowel disease.

Inflammatory bowel disease (IBD) is frequently accompanied by intestinal fibrosis, with non-response (NR) to long-term anti-tumor necrosis factor α (a...

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 CAD diagnosis and risk stratification. To standar...

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

Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormone receptors to sustain lineage identity and growt...

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 data are labeled. However, in reality, due to the h...

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 its symptoms are non-specific and overlap with ot...

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 conventional ex vivo manufacturing toward in situ cellu...

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, it has a low sensitivity for detection of ‎Cereb...