HRT

Novel opportunistic imaging biomarkers with AI-assisted sarcopenia assessment associated with survival after liver transplantation for hepatocellular carcinoma.

INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools to optimize candidate selection and survival outcomes for patients with hepatocellular carcinoma (HCC) who receive liver transplantation. Standard computed tomography scans provide additional health indicators that reveal physiological vulnerabilities beyond tumor staging. In this observational coho...

Integrative Transcriptomic Analysis Identifies a Key Candidate Gene Bridging Inflammation and DNA Repair in Endometriosis.

BACKGROUND: Endometriosis is a chronic, estrogen-dependent inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue. Although retrograde menstruation is highly prevalent, only a subset of women develops the disease. This epidemiologic paradox suggests that intrinsic molecular alterations in the eutopic endometrium may precondition refluxed cells to survive under i...

'Healthy menopause': The European Menopause and Andropause Society (EMAS) 2026 framework for precision, digital, and interdisciplinary midlife health.

INTRODUCTION: On average, women now spend more than one-third of their lives in the post-reproductive period, yet menopause care across Europe remains...

A comprehensive evaluation of seven osteoporosis screening tools.

UNLABELLED: This review evaluates the sensitivity, specificity, and predictive values of seven osteoporosis screening tools in populations such as pos...

A feature-efficient dual-task machine learning framework for predicting bone mineral density and osteoporosis stratification in resource-constrained environments.

Osteoporosis is a chronic skeletal disorder characterized by progressive bone mineral density (BMD) loss and structural deterioration, significantly i...

Interpretable, internally validated prognostic modelling of cumulative clinical pregnancy in women with diminished ovarian reserve.

OBJECTIVE: To develop and internally validate an interpretable prognostic model for cumulative clinical pregnancy in women with diminished ovarian res...

An interpretable machine learning model integrating ultrasound and clinical variables for predicting osteoporosis in patients with rheumatoid arthritis.

OBJECTIVES: Rheumatoid arthritis (RA) significantly increases the risk of osteoporosis (OP) and fractures, yet dual-energy X-ray absorptiometry (DXA) ...

Identification of genomic features that uniquely impact estrogen receptor alpha binding and its effects on gene expression in endometrial cancer.

Estrogen receptor 1 (ESR1) is an established oncogenic transcription factor in breast and endometrial cancer; however, more is known about the mechani...

Follicle Identification in Primate Ovaries Via Machine Learning†.

Studies of ovarian health and aging rely on estimates of the ovarian reserve, i.e. the number of healthy ovarian follicles. We present a machine learn...

Machine Learning-Guided Near-Infrared Laser Processing for Precise Geometry Control in Microneedles with Downstream microLED-Triggered Photothermal Functionality.

Transdermal drug delivery and sensing provide non-invasive routes for localized therapy and biomarker detection. Microneedles (MNs) enable pain-free a...

Chest Radiograph-based Artificial Intelligence for Osteoporosis: Accuracy and Associations With Fracture and Mortality.

OBJECTIVES: To evaluate an AI tool for opportunistic osteoporosis screening using chest radiographs (CXRs), focusing on its diagnostic accuracy agains...

Integration of metabolomics and machine learning algorithm for discovery of early diagnostic biomarkers of osteoporosis.

BACKGROUND: Osteoporosis (OP) is a prevalent metabolic bone disorder and a major public health concern characterized by reduced bone mass and bone mic...

The Role of Artificial Intelligence in Addressing Menopausal Mental Health Challenges.

Menopause marks a crucial transition in a woman's life and is often accompanied by physical and psychological changes that can adversely affect mental...

Integration of inflammatory and nutritional biomarkers with machine learning enhances prediction of progesterone response in fertility-preserving endometrial carcinoma management.

BACKGROUND: Endometrial carcinoma (EC) and atypical endometrial hyperplasia (AEH) increasingly affect young women, posing challenges for fertility pre...

Accuracy of breast density assessment using artificial intelligence by convolutional neural network for carriers of UGT1A1 polymorphisms with Gilbert's Syndrome - a pilot study.

INTRODUCTION: Gilbert's Syndrome (GS), an indirect hyperbilirubinemia resulting from the reduced hepatic bilirubin-glucuronyltransferase enzyme activi...

M3FusionNet: Cross-cohort multimodal prediction of breast cancer biomarkers.

BACKGROUND: Accurate prediction of breast cancer biomarkers - including oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth fa...

A Unified Molecular Graph and Protein Language Model Framework for Predicting Human Drug-Hormone Receptor Interactions with Structure-Aware Validation.

Hormones regulate many essential biological processes by interacting with specific receptors that control gene expression, metabolism, growth, and imm...

Perioperative prediction of adnexal malignancy by an interpretable machine learning model for guiding ovarian preservation in premenopausal endometrial cancer.

BACKGROUND: Ovarian preservation in premenopausal patients with endometrial cancer remains challenging due to the potential presence of concurrent adn...

Sex Hormone Receptors, HBV Integrations and Their Prognostic Predictive Value Among Hepatocellular Carcinoma Patients.

Hepatocellular carcinoma (HCC) related to hepatitis B virus (HBV) infection predominantly affects males, yet few studies have investigated the associa...

Prediction of Acromial and Scapular Spine Fractures After Reverse Total Shoulder Arthroplasty using Machine Learning: A Retrospective Cohort Study.

BACKGROUND: Acromial and scapular spine fractures (ASSF) are an uncommon but significant complication following reverse total shoulder arthroplasty (r...