Latest AI and machine learning research in nephrology for healthcare professionals.
BackgroundThe incidence of acute kidney injury (AKI) is increased in patients with community-acquire...
Multiple myeloma evolves unnoticed over years, and when diagnosed, organ damage is common. Electroni...
Branching morphogenesis orchestrates organogenesis in many tissues, including the kidney, where uret...
PURPOSE: Pulmonary arterial hypertension (PAH) significantly affects the pulmonary vasculature, requ...
Controlled outcome assessment of radiotherapy for primary renal cell carcinoma (RCC) remains limited...
BACKGROUND: Epidemiological studies on idiopathic nephrotic syndrome (INS) in children have identifi...
This study evaluates the potential of oral rinse-derived and plasma circulating tumour DNA (ctDNA) i...
PURPOSE: This study aimed to evaluate radiomic models' ability to predict hypoxia-related biomarker ...
Lactylation, a novel post-translational modification, has been implicated in various pathophysiologi...
INTRODUCTION: Diabetic nephropathy (DN) is a serious complication of diabetes. In this study, we aim...
The kidney is a target organ for the dysregulated host response to infection that defines sepsis, an...
OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury ...
Introduction.Increased steatosis on preimplant liver frozen section is associated with delayed graft...
Tissue atlases provide foundational knowledge on the cellular organization and molecular distributio...
Idiopathic pulmonary fibrosis (IPF) and pulmonary hypertension (PH) are two chronic conditions that ...
Systemic lupus erythematosus (SLE), a multifaceted autoimmune disorder, has lupus nephritis (LN) as ...
Nephrology research plays an important role in advancing our understanding of kidney disease and imp...
Chronic Kidney Disease (CKD) is a significant global public health issue, affecting over 10% of the ...
The rapid decline of kidney function in middle-aged and elderly people has become an increasingly se...
The emergence of Foundational Machine Learning Interatomic Potential (FMLIP) models trained on exten...
Small-molecule drugs play a critical role in cancer therapy by selectively targeting key signaling p...