Latest AI and machine learning research in end stage renal disease for healthcare professionals.
Beta-thalassemia is a genetic disorder that significantly burdens healthcare systems globally. This ...
Differentiating between immune thrombocytopenia (ITP), aplastic anemia (AA), and myelodysplastic syn...
The detection and classification of blood cells are important in diagnosing and monitoring a variety...
BACKGROUND: Delays in management and misdiagnosis are common in patients with spinal dural arteriove...
BACKGROUND: Postoperative pancreatic fistula (POPF) remains one of the most relevant complications f...
BACKGROUND: Renal fibrosis is a key driver of chronic kidney disease (CKD), often leading to end-sta...
OBJECTIVES: To develop a machine learning-based model to predict the relapse risk of Primary Autoimm...
OBJECTIVE: Maintenance hemodialysis (MHD) patients often suffer from sarcopenia, affecting lower lim...
BACKGROUND: Patients with end-stage kidney disease undergoing dialysis face significant physical, ps...
BACKGROUND: The risk of postoperative pancreatic fistula (POPF), one of the most dreaded complicatio...
OBJECTIVE: Aging is a natural process that affects cellular function. In peritoneal dialysis (PD), c...
Dose-dependent hematological toxicity of lenalidomide has been reported previously, and thus, there ...
The iron regulatory hormone hepcidin contributes to the pathogenesis of anemia of inflammation (AI) ...
BACKGROUND: Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pa...
BACKGROUND: Maintenance hemodialysis patients experience high morbidity and mortality, primarily fro...
BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating sc...
BACKGROUND: Cardiac valve calcification (CVC) is common in dialysis patients and associated with inc...
PURPOSE: The aim of this study was to generate and validate artificial delayed-phase technetium-99m ...
Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated wit...
OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patient...
BACKGROUND: Healthcare practitioners require a robust predictive system to accurately diagnose disea...