Latest AI and machine learning research in endocrinology for healthcare professionals.
Interactions among genes orchestrate the growth and survival of all living systems. Such interaction...
Altered stress responses are closely linked to mental disorders, but the role of brain structure in ...
Spatial transcriptomic data enable study of cell–cell communication, yet current analysis tools ofte...
While extensive efforts have characterized lymphoid populations that contribute to pancreatic ‘insul...
Type 1 diabetes mellitus (T1DM) is the most common severe chronic disease in children and adolescent...
In type 2 diabetes (T2D), molecular pathways driving β cell failure are difficult to resolve with st...
Quantifying tissue molecular and physical integrity is essential for biobank development. However, c...
Previous single-cell profiling studies of the pituitary gland have yielded minimally reproducible in...
Genome-scale DNA methylation (DNAm) profiles capture organismal physiology, but most predictive mode...
Inflammation is central to pulmonary arterial hypertension (PAH) pathogenesis. The liver regulates s...
Spaceflight presents unique environmental stressors, such as microgravity and radiation, that signif...
The widths of kidney glomerular basement membrane (GBM) and podocyte foot processes (FP) are essenti...
Continuous glucose monitoring (CGM) systems play a crucial role in diabetes care. Yet, they focus so...
Neuronal metabolism is fundamental to brain functions and diseases, yet its spatial and temporal dyn...
A comprehensive all-by-all receptor ligand affinity screen using Boltz-2, a deep learning framework ...
As the third leading cause of cancer related deaths in the United States, pancreatic cancer (PaC) is...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent condition cha...
Analytical chemistry provides the content of nearly every scientific, technical and business decisio...
Estrogen receptor alpha (ER) is an established oncogenic transcription factor in breast and endometr...
This study introduces Glucose Level Understanding and Control Optimized for Safety and Efficacy (GLU...
This study investigates the feasibility of reducing manual image annotation costs in medical image d...