Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps

Stain variability is a pervasive source of distribution shift and potential shortcut learning in ren...

USCNet: Transformer-Based Multimodal Fusion with Segmentation Guidance for Urolithiasis Classification

Kidney stone disease ranks among the most prevalent conditions in urology, and understanding the com...

Causal Machine Learning for Comparative Effectiveness of GLP-1 RA versus SGLT2i in Heart Failure Using Real-World EHR Data

Clinicians lack precision medicine tools to estimate individualized treatment effects for patients w...

Nanoscale Podocyte Morphometrics Predict Disease Progression in IgA Nephropathy

Introduction: Podocyte injury is central to the pathogenesis of most glomerulonephritides (GN) and c...

Deciphering Environmental Health Factors Behind Unknown Etiology of Chronic Kidney Disease in South Asia: Plans for Epidemiologic Study

Chronic kidney disease of unknown etiology (CKDu) has emerged as an important public health challeng...

SleepJEPA: Learning the latent world of sleep with at-home sleep data to estimate disease risk

Sleep disturbances lead to risk for cardiovascular (CV), metabolic, and neurological diseases. While...

Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction

Retinal fundus imaging enables low-cost and scalable hypertension (HTN) screening, but HTN-related r...

Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentation

Accurate segmentation of coronary arteries from computed tomography angiography (CTA) images is of p...

ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection

Monocular 3D lane detection remains challenging due to depth ambiguity and weak geometric constraint...

FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy

The reliability of artificial intelligence (AI) in medical imaging critically depends on its robustn...

Coupled Solvent and Protein Dynamics Confer Differences in Exon-19 Deletion Mutants of the Epidermal Growth Factor Receptor Kinase

Deletions in Exon-19 of the epidermal growth factor receptor (EGFR) play a pivotal role in the patho...

Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels

Standard deep learning models for image segmentation cannot guarantee topology accuracy, failing to ...

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation

Spatial graphs provide a lightweight and elegant representation of curvilinear anatomical structures...

A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Histopathology

Histopathology foundation models (HFMs), pretrained on large-scale cancer datasets, have advanced co...

A minimal transcriptomic signature predicts intravascular tumor extension in renal cell carcinoma

Renal cell carcinoma (RCC) with venous tumor thrombus, termed renal intravascular tumor extension (R...

Characterizing Autonomic Dysfunction during Resuscitation in Sepsis using Multiscale Entropy

Rationale Autonomic dysfunction is a hallmark of sepsis pathophysiology, yet its quantification rema...

A spatial multi-omic portrait of survival outcome for clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the leading cause of kidney cancer-related death, but how...

GloPath: An Entity-Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Glomerular pathology is central to the diagnosis and prognosis of renal diseases, yet the heterogene...

Explainable AI for end-to-end pathogen target discovery and molecular design

Drug discovery is often constrained by target identification, a bottleneck especially acute in antim...

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