Latest AI and machine learning research in endocrinology for healthcare professionals.
Saccharomyces cerevisiae is a cornerstone organism in industrial biotechnology, valued for its genet...
Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, import...
Understanding how biomarker distributions evolve over time is a central challenge in digital health ...
Thyroid ultrasound is the first-line exam for assessing thyroid nodules and determining whether biop...
Accurate classification of brain tumors from magnetic resonance imaging (MRI) plays a critical role ...
Managing diabetes-related conditions is time-intensive and cognitively demanding for patients and ca...
Diabetic retinopathy screening traditionally relies on fundus photography, requiring specialized equ...
Regular monitoring of glycemic status is essential for diabetes management, yet conventional blood-b...
Background Placental dysfunction remains a leading cause of stillbirth and neonatal morbidity, yet c...
Subtyping of ketoacidosis, a metabolic state characterized by blood acidification due to various cau...
More than one third of adults with diabetes can experience diabetes distress due to the demands of d...
Thyroid ultrasound (US) automation couples two competing requirements: global, geometry-driven reaso...
Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of preventable blindne...
Sleep disruption drastically impacts cognitive functions including decision-making and attention acr...
Thyroid carcinoma is one of the most prevalent endocrine malignancies worldwide, and accurate preope...
This study presents dAMN, a hybrid neural-mechanistic model that integrates neural networks with gen...
Cortisol is a primary biomarker of stress, released in sweat at concentrations that directly correla...
As of early 2026, over 115 million US adults (more than 1 in 3) have prediabetes, a condition with a...
In this work, we investigate uncertainty-aware neural network models for blood glucose prediction an...
Handheld ultrasound devices have revolutionized point-of-care diagnostics, but their effectiveness r...
While multimodal survival prediction models are increasingly more accurate, their complexity often r...