SKINET Project is meant to perform a segmentation of a kidney's biopsy or a nephrectomy and recognize the different histological structures.
-
Updated
Feb 20, 2023 - Python
SKINET Project is meant to perform a segmentation of a kidney's biopsy or a nephrectomy and recognize the different histological structures.
Kidney-Genetics - database of kidney-related genes
Real-world hemodialysis data analysis focused on intradialytic hypotension, clinical risk patterns, and patient-level hemodynamic phenotyping.
KDIGO 2026 AKI Calculator [繁中]
Single-cell RNA-seq analysis of human kidney tissue (GSE131685) using Seurat v5, including QC, clustering, UMAP, marker identification, and injury-related transcriptional interpretation.
Methodological demonstration on SYNTHETIC data (n=2,500): explainable XGBoost + SHAP model for 1-year mortality in hemodialysis, examining vascular access, inflammation and nutritional status. Not a validated clinical tool.
Real-world analysis of chronic kidney disease (CKD) in primary care in the Dominican Republic, integrating clinical and sociodemographic data with a reproducible Python pipeline.
SKINET Project is meant to perform a segmentation of a kidney's biopsy or a nephrectomy and recognize the different histological structures. By doing that, it is possible to analyze kidneys more precisely and get a better understanding of their behaviors. This is an updated version of the original Skinet Tool that provides indicators to compute …
Mechanistic digital twin for Type 2 Diabetes → CKD, modeling renal decline through hyperfiltration dynamics, interpretable parameters, Bayesian inference, and AI.
Reproducible transcriptomic analysis of glomerular lupus nephritis using GEO data (GSE32591), limma, and Python-based gene prioritization.
RNA-seq analysis of fibrosis and inflammation signatures in focal segmental glomerulosclerosis (FSGS)
HAMDARDDIALYSIS is a renowned healthcare facility specializing in nephrology, dialysis, and various medical treatments. Our expert nephrologists and cutting-edge dialysis unit provide exceptional care. We also offer comprehensive medical treatments onsite and have dedicated ambulance services for emergencies. With a patient-centered approach, we p
Multi-omics integration of kidney transcriptomics and urinary proteomics to explore fibrosis, metabolism, and inflammation in diabetic kidney disease (DKD)
48 free, open-source clinical calculators (CHA2DS2-VASc, CKD-EPI, SCORE2, MELD, NIHSS...) in Catalan, Spanish & English — scores cited from the original papers, with a free REST API, SMART on FHIR support and a permanent Zenodo DOI. An open, multilingual alternative to MDCalc.
NephroQuest — dialysis educator game. 1k+ users. Real payments. Live at nephlearngames.fun
Machine learning pipeline for kidney stone risk prediction, featuring calibrated models, interpretability (Permutation Importance + PDPs), and a clean modular architecture for clinical decision support.
DEEP_NEPHRO is a university-led project focused on enhancing dialysis care through intelligent monitoring and optimization. By integrating machine learning and real-time data analysis, the project aims
Reproducible R analysis code for a cross-sectional OCT study of chronic kidney disease, hypertension, diabetes, and inner-retinal thickness at Koç University Hospital.
To associate your repository with the nephrology topic, visit your repo's landing page and select "manage topics."