Endocrinology

Menopause

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

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Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for pre...

Advancing sociotechnical systems theory: New principles for human-robot team design and development.

This paper reviews and adapts sociotechnical systems (STS) principles for the design and development...

Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.

PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of os...

EXPRESS: Liquid Biopsy in Breast Cancer Management: From Circulating Biomarkers to Clinical Breakthroughs.

Breast cancer continues to be a major global health concern, particularly for women, despite improve...

Graph Neural Network Driven Exploration of Non-Precious Metal Catalysts for Air-to-Ammonia Conversion.

Efficient ammonia production directly from the air with minimal energy consumption remains one of th...

A non-optically active lake salinity dataset by satellite remote sensing.

Water salinity characterizes the physicochemical properties of natural water, serving as an essentia...

Prediction for the development of preeclampsia through non-invasive hemodynamics using machine learning, distinguishing early from late.

Preeclampsia (PE) and hypertensive disorders of pregnancy (HDP) are major contributors to maternal-f...

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five...

A web-based prediction model for brain metastasis in non-small cell lung cancer patients.

BACKGROUND: Brain metastasis (BM) stands as a significant contributor to mortality among cancer pati...

Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors.

The Ki67 score is a crucial prognostic biomarker for neuroendocrine tumors, but its manual assessmen...

3D Deep-learning-based Segmentation of Human Skin Sweat Glands and Their 3D Morphological Response to Temperature Variations.

Skin, the primary regulator of heat exchange, relies on sweat glands for thermoregulation. Alteratio...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with sym...

The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.

The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed ...

Detecting and classifying the mechanics of cancer and non-cancer cells by machine learning algorithm.

The global burden of cancer has increased in recent years, posing a major public health challenge. G...

Non-Invasive Bedside Approaches for Assessing Microvascular Dysfunction.

Microvascular dysfunction is implicated in a range of acute and chronic conditions, ranging from car...

Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.

BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its ...

Hijacked Brain in Modern Obesity: Cue, Habit, Addiction, Emotion, and Restraint as Targets for Personalized Digital Therapy and Electroceuticals.

The global obesity epidemic can no longer be explained by personal choice or caloric excess alone. M...

Perceived social support in the daily life of people with Parkinson's disease: a distinct role and potential classifier.

Motor outcomes in Parkinson's disease (PD) have long been the primary diagnostic criteria and treatm...

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