Endocrinology

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

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Type 2 Diabetes in Taiwan: Unmasking Influential Factors Through Advanced Predictive Modeling.

Type 2 diabetes (T2D) is influenced by lifestyle, genetics, and environmental conditions. By utiliz...

Regression and machine learning approaches identify potential risk factors for glioblastoma multiforme.

Glioblastoma multiforme is a lethal disease, with a 5-year survival rate of <10%. The identification...

Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia.

PURPOSE: To evaluate and quantify diabetes-related retinal and choroid perfusion changes in individu...

Continuous glucose monitoring combined with artificial intelligence: redefining the pathway for prediabetes management.

Prediabetes represents an early stage of glucose metabolism disorder with significant public health ...

The development of predictive biomarkers and immunologic markers for breast cancer: current status and future perspectives.

Breast cancer is the leading cause of cancer-related mortality among women worldwide. The developmen...

A Wearable In-Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood.

The pain-free monitoring of blood-based biomarkers is essential for early detection of diseases like...

Long COVID's Hidden Complexity: Machine Learning Reveals Why Personalized Care Remains Essential.

Long COVID can develop in individuals who have had COVID-19, regardless of the severity of their in...

Multiscale analysis and optimal glioma therapeutic candidate discovery using the CANDO platform.

Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computation...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

Extended Linear Confined Zipper Cascaded Reaction for Highly Efficient Intracellular Imaging and Assisting Diagnosis of Thyroid Cancer.

Highly sensitive detection and in situ tracing analysis of small-molecule biomarkers are particularl...

Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.

BACKGROUND: This study investigated the cost-effectiveness and clinical impact of the 3E model (educ...

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....

Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...

Design, synthesis, and evaluation of triazolo[1,5-a]pyridines as novel and potent α‑glucosidase inhibitors.

α-Glucosidase is a key enzyme responsible for controlling the blood glucose, making a pivotal target...

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