Endocrinology

Menopause

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

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Showing 2143-2163 of 5,047 articles
[Radiotherapy of non-Hodgkin lymphoma-discussion of modern treatment concepts and innovations].

BACKGROUND: Radiotherapy is an established treatment modality for malignant non-Hodgkin lymphoma. Ho...

Advances in viral vector-based delivery systems for gene therapy: a comprehensive review.

Gene therapy offers a revolutionary approach for treating genetic and acquired disorders by deliveri...

Time-series deep learning and conformal prediction for improved sepsis diagnosis in primarily Non-ICU hospitalized patients.

PURPOSE: Sepsis, a life-threatening condition from an uncontrolled immune response to infection, is ...

Non-traditional socio-environmental and geospatial determinants of Alzheimer's disease-related dementia mortality.

IMPORTANCE: Recent data point to the impact of non-traditional environmental and social factors on A...

Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification.

Accurate segmentation of lung tumors is essential for advancing personalized medicine in non-small c...

Evaluating crash risk factors of farm equipment vehicles on county and non-county roads using interpretable tabular deep learning (TabNet).

Crashes involving farm equipment vehicles are a significant safety concern on public roads, particul...

Development and validation of explainable machine learning models for female hip osteoporosis using electronic health records.

BACKGROUND: Hip fractures are associated with reduced mobility, and higher morbidity, mortality, and...

Semi-supervised non-negative matrix factorization with structure preserving for image clustering.

Semi-supervised learning methods have wide applications thanks to the reasonable utilization for a p...

LMP-GAN: Out-of-Distribution Detection for Non-Control Data Malware Attacks.

Anomaly detection is a common application of machine learning. Out-of-distribution (OOD) detection i...

StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation.

Federated learning is a distributed learning framework that takes full advantage of private data sam...

PrivCore: Multiplication-activation co-reduction for efficient private inference.

The marriage of deep neural network (DNN) and secure 2-party computation (2PC) enables private infer...

Approximation by non-symmetric networks for cross-domain learning.

For the past 30 years or so, machine learning has stimulated a great deal of research in the study o...

The machine learning prediction model of non-alcoholic fatty liver; the role of hydrogen and methane breath tests.

Nonalcoholic fatty liver disease (NAFLD) is now the leading cause of global chronic liver disease, a...

A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.

Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasur...

Development of Machine Learning-Based Models for Mutagenicity Predictions with Applications to Non-Sugar Sweeteners.

Artificial sweeteners, often known as non-sugar sweeteners (NSSs), have been utilized as food additi...

Non-Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi-Center Cohort Study.

The clinical benefits of neoadjuvant chemoimmunotherapy (NACI) are demonstrated in patients with bla...

Photobiomodulation therapy (PBMT) in skeletal muscle regeneration: A comprehensive review of mechanisms, clinical applications, and future directions.

Photobiomodulation therapy (PBMT) emerged as a significant non-invasive method of stimulating regene...

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