Menopause

Pre-operative MRI-Based Radiomics for Predicting Telomerase Reverse Transcriptase Promoter Mutation Status in Glioma Patients: A Systematic Review and Meta-analysis.

TERT promoter (TERTp) mutations shape glioma prognosis and therapy, yet tissue testing can be limited by sampling error and surgical inaccessibility. MRI-based radiomics offers a non-invasive alternative. This study aimed to quantify the diagnostic accuracy of pre-operative MRI radiomics for predicting TERTp status and compare radiomics-only, clinical-only, and combined models.We conducted a PRISM...

Identification of estrogen-related biomarkers in metabolic dysfunction-associated steatotic liver disease (MASLD) through machine learning and single-cell analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is a prevalent chronic liver disease linked to metabolic risk factors. Sex hormones, particularly estrogen, appear to influence MASLD development, as premenopausal women are relatively protected. This study aims to identify estrogen-related biomarkers of MASLD ...

Analysis of vehicle-related non-exhaust PM10 and emerging pollutants in Beijing with machine-learning.

With the growth of electric vehicles, non-exhaust PM10 is becoming the dominant contributor to vehicle-related particulate pollution and a source of e...

AI-assisted extraction of opportunistic findings from oncologic CT reports using large language models.

Opportunistic findings at imaging (iOFs), such as osteoporosis, liver steatosis, or coronary artery calcifications, are clinically relevant abnormalit...

Challenges and opportunities of implementing open-source digital pathology in sub-Saharan Africa: Lessons learned from deploying QuPath for breast cancer biomarker assessment in Cameroon.

BACKGROUND: Digital pathology and artificial intelligence (AI) are transforming cancer diagnostics worldwide, yet their implementation in sub-Saharan ...

Dynamic urinary proteomics integrates single-cell and spatial transcriptomics to reveal tumour microenvironment and predict immunotherapy response in biliary tract cancer.

BACKGROUND: Most patients with biliary tract cancer (BTC) do not derive durable clinical benefit (DCB) from immune checkpoint inhibitors (ICIs), under...

Identification of Chronic Stress-Related Biomarkers for Potential Diagnosis and Treatment of Osteoporosis: An Integrated Multi-omic and Clinical Data Analysis.

OBJECTIVE: The mechanisms through which chronic stress-related genes influence the diagnosis of osteoporosis (OP), where chronic stress serves as a ri...

Dementia transition in early cognitive decline trajectories (DETECT) study: a prospective longitudinal study protocol.

BACKGROUND: Mild cognitive impairment is widely recognized as a high-risk state associated with a progression to dementia. Although previous studies h...

MedADL: High-Throughput Information Extraction of Functional Status from Electronic Health Records to Advance Frailty Assessment in Older Adults.

BACKGROUND: Functional status is essential for assessing frailty and planning care in older adults but is often under-documented in the structured fie...

Heat shock protein-mediated remodeling of the bone immune microenvironment: mechanisms and precision therapeutic strategies for osteoporosis.

BACKGROUND: Osteoporosis is a systemic bone disorder marked by reduced bone mass and deteriorating bone microstructure, commonly associated with infla...

Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort.

OBJECTIVE: To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clin...

Metabolomic machine learning predictor for the diagnosis of alcohol-associated liver disease.

BACKGROUND: It is urgent to find novel non-invasive biomarkers that can accurately diagnose alcohol-associated liver disease (ALD). The objective of t...

Integrative single-cell and spatial transcriptomics analysis reveals a baicalein-responsive 10-gene signature for non-small cell lung cancer.

BACKGROUND: Non‑small cell lung cancer (NSCLC) remains a leading cause of cancer‑related mortality worldwide. Baicalein, a natural flavonoid, has show...

Comment on "Integrating machine learning into fracture liaison services: Toward precision risk stratification in osteoporosis care: A prospective cohort study".

Performance of large language models on the Turkish Pharmacy Specialty Examination: a comparative analysis of accuracy, confidence, and readability.

Large language models (LLMs) have demonstrated strong performance in answering knowledge-based questions in healthcare education. Specialty examinatio...

Ultrasound-based multiregional radiomics nomogram for predicting recurrence in HER2-positive breast cancer.

PURPOSE: Accurate prediction of recurrence risk is crucial for personalizing therapy in human epidermal growth factor receptor 2-positive (HER2-positi...

Effects of cerebral infarction on cognitive and speech performance.

OBJECTIVE: The present study sought to identify the cognitive features and speech features that might distinguish cerebral infarction patients by usin...

Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis.

BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer ...

Clinical Implications and Research Progress of Salivary Biomarkers for Endocrine and Metabolic Disorders.

AIMS: Similar to blood, saliva contains a broad range of biomarkers and may offer a non-invasive, repeatable specimen for endocrine and metabolic asse...

Multiobjective optimization of natural convection and entropy generation in a porous wavy cavity with a heated star-shaped obstacle using a hybrid nanofluid.

Convectional heat transfer continues to receive extensive research attention due to its importance in vital applications such as solar energy collecto...