Nephrology

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

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PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, pre...

PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning

Lung cancer remains one of the leading causes of cancer- related mortality worldwide. Although targe...

Explainable machine learning relates histological to genomic pathology

Background & Aims: Haematoxylin and eosin (H&E) staining remains the diagnostic gold standard for so...

Multi-scale modeling of human tissues from spatial transcriptomics with TERRA

Spatial transcriptomics maps gene expression at cellular resolution, revealing how cells organize in...

Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants

There has been significant interest in using machine learning algorithms to predict kidney transplan...

IRIS: Visual-Semantic Binding for Forgery-Resistant Watermarking of Diffusion Images

Most in-generation diffusion watermarks embed patterns independent of the image that carries them, a...

Architectural Safety Mechanisms for Multi-Agent Clinical LLM Systems Under Knowledge Base Distribution Shift

Objective: To evaluate whether multi-agent LLM architectures with explicit safety verification maint...

Clinical characteristics and associated factors of de novo and recurrent prostate cancer after kidney transplantation

Kidney transplant recipients experience a higher burden of several malignancies, yet the factors ass...

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Interpretable Machine Learning to Improve Donor-Recipient Matching at Time of Heart Transplantation

BACKGROUND: Machine learning (ML) models have been used to evaluate one-year post-transplant mortali...

Explainable AI for Chronic Kidney Disease Prediction Using Simulated Federated Learning

Chronic Kidney Disease (CKD), characterized by the gradual loss of kidney function, remains a signif...

Simulation-Trained Deep Learning for Automated Cell-Based HLA Antibody Assay Interpretation in Pre-Transplant Diagnostics

Preformed and de novo antibodies against donor human leukocyte antigen (HLA) antigens remain a major...

MGM2 as a Unified Foundation Model for Microbiome World Exploration

Microbiomes are information-rich biological systems, yet most computational analyses still reduce co...

Composite Artificial Intelligence-Enabled Electrocardiogram for Detection and Prediction of Structural Heart Disease

Background Structural heart disease (SHD) drives heart failure and cardiovascular mortality but rema...

Organism-scale annotation with Pan-human Azimuth

Single-cell atlases now span many human tissues, but inconsistent annotations across studies limit t...

Hierarchy-Aware and Anatomy-Guided Learning for Lung Ultrasound Video Classification

Lung ultrasound (LUS) is a bedside tool for assessing pulmonary edema in patients at risk due to hea...

CardioMeta: Calibrated Multi-Task Prediction of Diabetes, Hypertension, and Cardiovascular Disease Across Population and EHR Data

Cardiometabolic diseases remain among the most persistent drivers of preventable morbidity because d...

From Many to Meaningful: Feature-Guided Zero-Shot Chronic Kidney Disease Screening Using Large Language Models

Early screening of chronic kidney disease (CKD) is essential for preventing irreversible progression...

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