Endocrinology

Menopause

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

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Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes.

BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathog...

Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study.

BACKGROUND: The global prevalence of non-alcoholic steatohepatitis (NASH) and its associated risk of...

The ethics of non-explainable artificial intelligence: an overview for clinical nurses.

Artificial intelligence (AI) is transforming healthcare by enhancing clinical decision-making, parti...

MMnc: multi-modal interpretable representation for non-coding RNA classification and class annotation.

MOTIVATION: As the biological roles and disease implications of non-coding RNAs continue to emerge, ...

Feasibility of a Machine Learning Classifier for Predicting Post-Induction Hypotension in Non-Cardiac Surgery.

PURPOSE: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PI...

[A review of deep learning methods for non-contact heart rate measurement based on facial videos].

Heart rate is a crucial indicator of human health with significant physiological importance. Traditi...

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

IMPORTANCE: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respo...

Optimization of non-smooth functions via differentiable surrogates.

Mathematical optimization is fundamental across many scientific and engineering applications. While ...

Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate.

Air conditioning energy consumption in buildings represents a considerable percentage of total energ...

Diagnostic precision of a deep learning algorithm for the classification of non-contrast brain CT reports.

OBJECTIVE: This study aimed to determine the diagnostic precision of a deep learning algorithm for t...

IDNet: An inception-like deformable non-local network for projection compensation over non-flat textured surfaces.

Projector compensation on non-flat, textured surfaces represents a formidable challenge in computati...

The Hypothalamic Medial Preoptic Area-Paraventricular Nucleus Circuit Modulates Depressive-Like Behaviors in a Mouse Model of Postpartum Depression.

Estrogen fluctuations have been implicated in various mood disorders, including perimenopausal and p...

Toward Self-Propelled Microrobots: A Systems Chemistry that Induces Non-Linear Phenomena of Oil Droplets in Surfactant Solution.

Biological activities observed in living systems occur as the output of which nanometer-, submicrome...

Could metabolic imaging and artificial intelligence provide a novel path to non-invasive aneuploidy assessments? A certain clinical need.

Pre-implantation genetic testing for aneuploidy (PGT-A) via embryo biopsy helps in embryo selection ...

Enhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.

Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impact...

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