Endocrinology

Menopause

Latest AI and machine learning research in menopause for healthcare professionals.

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Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.

BACKGROUND: Establishing normative isokinetic muscle strength values and prediction models for knee ...

Prognostic effect of CD74 and development of a radiomic model for predicting CD74 expression in non-small cell lung cancer.

BACKGROUND: The classical prognostic indicators of lung cancer are no longer sufficient for prognost...

Resting-State Functional MRI Reveals Altered Seed-Based Connectivity in Diabetic Osteoporosis Patients.

BACKGROUND: Diabetic osteoporosis (DOP) can cause abnormal brain neural activity, but its mechanism ...

Development of Non-Invasive Continuous Glucose Prediction Models Using Multi-Modal Wearable Sensors in Free-Living Conditions.

Continuous monitoring of glucose levels is important for diabetes management and prevention. While t...

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion.

The increased workload in pathology laboratories today means automated tools such as artificial inte...

Protected Chaos in a Topological Lattice.

The erratic nature of chaotic behavior is thought to erode the stability of periodic behavior, inclu...

Classification of non-small cell lung cancer by histologic subtype using deep learning in public and private data sets of computed tomography images.

OBJECTIVE: To develop a deep learning system to classify non-small cell lung cancer (NSCLC) by histo...

Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models.

BACKGROUND: Unhealthy lifestyle habits, such as smoking, can impact oxidative stress. During oxidati...

Enhancing ERα-targeted compound efficacy in breast cancer threapy with ExplainableAI and GeneticAlgorithm.

Breast cancer remains a major cause of mortality among women globally, driving the need for advanced...

A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection.

The detection of fish freshness is crucial for ensuring food safety. This study addresses the limita...

Non-orthogonal kV imaging guided patient position verification in non-coplanar radiation therapy with dataset-free implicit neural representation.

BACKGROUND: Cone-beam CT (CBCT) is crucial for patient alignment and target verification in radiatio...

Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach.

AIM: This study aimed to determine the important features and cut-off values after demonstrating the...

An efficient non-parametric feature calibration method for few-shot plant disease classification.

The temporal and spatial irregularity of plant diseases results in insufficient image data for certa...

Development of a deep-learning algorithm for etiological classification of subarachnoid hemorrhage using non-contrast CT scans.

OBJECTIVES: This study aims to develop a deep learning algorithm for differentiating aneurysmal suba...

Breath Insights: Advancing Lung Cancer Early-Stage Detection Through AI Algorithms in Non-Invasive VOC Profiling Trials.

Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Effective screening strat...

Emerging research themes in ferroptosis research for non-small cell lung cancer: a bibliometric and visualized analysis.

BACKGROUND: Ferroptosis, an iron-dependent form of regulated cell death, has garnered significant at...

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