Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVES: To assess the clinical performance of robotic-assisted infra-renal aortic lymphadenectom...
Here, we report the case of a 26-year-old woman suffering from nutcracker syndrome with concurrent d...
The indication for use of laparoscopy, in the pediatric population, was initially for diagnostic pur...
Simulated allocation models (SAMs) are used to evaluate organ allocation policies. An important comp...
Magnetic tubular implantable micro-robots are batch fabricated by electroforming. These microdevices...
Background: Electrolyte replacement is ubiquitous in the acute care setting, but its familiarity can...
Background. Conventional ICU severity scores - SOFA, qSOFA, and APACHE-II - use additive integer wei...
Non-canonical HLA-presented peptides are promising therapeutic targets, but their low abundance make...
Background: Clinical LLM benchmarks rarely test whether algorithmic rankings agree with expert clini...
Background.Renoprotective therapies - SGLT2 inhibitors, finerenone, and renin-angiotensin system inh...
Background: Patients with CKD and polypharmacy face high rates of drug-related problems, yet compreh...
Blood vessel segmentation is a core task in medical image analysis for the care of vascular diseases...
Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under s...
Background: Heart failure (HF) is a major contributor to inpatient hospital utilization, with persis...
Light microscopy imaging with histological stains is central to disease diagnosis and research. It i...
T cell receptors (TCRs) are critical for immune surveillance and successful adaptive immune response...
Intrinsically disordered proteins (IDPs) drive a large fraction of cellular signaling, transcription...
Autosomal dominant polycystic kidney disease (ADPKD) exhibits substantial interpatient variability i...
Lupus nephritis (LN), a severe manifestation of systemic lupus erythematosus (SLE), features heterog...
Background: Despite improved cancer outcomes with kinase inhibitors (KIs), their cardiotoxicity rema...
Deep learning-based organs/structures-at-risk(OARs) auto-contouring models can improve radiotherapy ...