Menopause

Non-Invasive Diagnosis of Chronic Myocardial Infarction via Composite In-Silico-Human Data Learning.

Myocardial infarction (MI) continues to be a leading cause of death worldwide. The precise quantific...

Assessment of PD-L1 expression and tumour infiltrating lymphocytes in early-stage non-small cell lung carcinoma with artificial intelligence algorithms.

AIMS: To study programmed death ligand 1 (PD-L1) expression and tumour infiltrating lymphocytes (TIL...

Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women.

Reproductive aging impacts women's health through fertility decline, disease susceptibility, and sys...

Multifunctional nanophotonic photoacoustic biosensors: a new era in molecular imaging-guided deep-tissue cancer monitoring.

Monitoring cancer therapy is difficult because of restricted imaging depth, inadequate molecular spe...

Advances in molecular pathology and therapy of non-small cell lung cancer.

Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...

The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...

Thermodynamics Analysis of a Reaction-Diffusion Matrix Multiplication Computing Unit under the Linear Non-Equilibrium Regime.

Implementations of matrix multiplication via diffusion and reactions, thus eliminating the need for ...

Long-term prognostic value of the CT-derived fractional flow reserve combined with atherosclerotic burden in patients with non-obstructive coronary artery disease.

OBJECTIVES: The long-term prognostic significance of the coronary computed tomography angiography (C...

Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis.

BACKGROUND: Endometriosis and breast cancer are significant global health burdens affecting women wo...

Multiscale-fusion models with genomic, topological and pathomic features to predict response to radiation therapy for non-small cell lung cancer patients.

Artificial intelligence models with biomarkers to predict treatment responses to radiation would be ...

Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes.

Non-invasive multi-phase CT artificial intelligence for predicting pre-treatment enlarged lymph node status in colorectal cancer: a prospective validation study.

OBJECTIVES: Benign lymph node enlargement can mislead surgeons into overstaging colorectal cancer (C...

Providing context: Extracting non-linear and dynamic temporal motifs from brain activity.

Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) ac...

Next-Generation Sequencing-Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non-Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods.

BACKGROUND: Next-generation sequencing (NGS) has become a cornerstone of treatment for lung cancer a...

Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction.

Accurate traffic flow prediction is vital for intelligent transportation systems but presents signif...

Automated Diffusion Analysis for Non-Invasive Prediction of IDH Genotype in WHO Grade 2-3 Gliomas.

BACKGROUND AND PURPOSE: Glioma molecular characterization is essential for risk stratification and t...

Machine learning is changing osteoporosis detection: an integrative review.

Machine learning drives osteoporosis detection and screening with higher clinical accuracy and acces...

Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.

To develop and validate a machine learning framework for the classification of distinct seizure onse...

Identification of Isomerically Diverse Ginsenosides Using Engineered Aerolysin Nanopore via Non-Translocation Blockade Sensing.

Typical nanopore sensing depends on slowed translocation through the pore to acquire effective block...

Deep learning assisted non-invasive lymph node burden evaluation and CDK4/6i administration in luminal breast cancer.

Precise lymph node evaluation is fundamental to optimize CDK4/6 inhibitor therapy in luminal breast ...

The value of intratumoral and peritumoral ultrasound radiomics model constructed using multiple machine learning algorithms for non-mass breast cancer.

To investigate the diagnostic capability of multiple machine learning algorithms combined with intra...