Latest AI and machine learning research in endocrinology for healthcare professionals.
Predicting molecular receptor status, including estrogen receptor (ER), progesterone receptor (PR), ...
Tumor responses to therapy are profoundly shaped by selective pressures operating in vivo, including...
Effective behavioral intervention in chronic disease management requires not a single prescription b...
Background & Problem: Thyroid Fine-Needle Aspiration Biopsy (FNAB) cytology based on the Bethesda Sy...
Drug repurposing can accelerate therapy discovery for ER+ breast cancer, but combination selection r...
Esophageal cancer (EC) is characterized by complex transcriptional alterations and therapeutic resis...
Deep learning models such as Chemprop have advanced quantitative molecular property prediction, but ...
Treatment toxicity constrains the use of effective cancer therapies, but its clinical and genetic de...
Continuous glucose monitoring (CGM) provides high-frequency measurements of glucose dynamics and ena...
Normative age models are trained to predict chronological age in a nominally healthy cohort. Applied...
Background: Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease (CKD). Howe...
Polycystic Ovary Syndrome is a common endocrine disorder characterized by ovulatory dysfunction, hyp...
Enzyme turnover numbers (kcat) are essential for kinetic models and enzyme-constrained genome-scale ...
Routine childhood growth surveillance is a cornerstone of pediatric care. Growth pattern abnormaliti...
In this work, we propose a structural variant of the Factorial Hidden Markov Model (FHMM) for the an...
Background Glucagon-like peptide-1 (GLP-1) receptor agonists and sodium-glucose cotransporter-2 (SGL...
Timely risk classification is essential in many clinical monitoring settings, where decisions must b...
Imputing physiological time series (arterial blood pressure, blood glucose, etc.) is essential for a...
BackgroundFive-year survival from lung cancer exceeds 60% at stage I-II but falls below 10% once met...
Women's health remains substantially under-resourced in medical imaging research, with pelvic pathol...
Abstract Background: Cardiovascular-kidney-metabolic (CKM) syndrome is an increasingly prevalent mul...