End Stage Renal Disease

An improved domain-adversarial network for predicting hemodialysis adequacy.

Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease...

An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study.

Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying...

From Laptop to Laboratory: Development and Implementation of a Machine Learning Model for Detecting Iron-Deficiency Anemia.

Development and validation of machine learning predictive models for assessing dialysis adequacy in dialysis patients.

PURPOSE: The assessment of dialysis adequacy is of great clinical importance. However, it depends on...

Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning.

Mild to severe anemia is caused by thalassemia, a common genetic disorder affecting over 100 countri...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

Integrated bioinformatics and machine learning reveal key genes and immune mechanisms associated with uremia.

Uremia is a serious complication of end-stage chronic kidney disease, closely associated with immune...

A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing.

BACKGROUND: Intradialytic Hypotension (IDH) is a frequent complication in hemodialysis, yet predicti...

Cellular senescence in renal ischemia-reperfusion injury.

Acute kidney injury (AKI) affects more than 20% of hospitalized patients and is a significant contri...

Effectiveness of a smart management system in improving adherence and clinical outcomes of patients receiving peritoneal dialysis: a retrospective cohort analysis.

BACKGROUND: Peritoneal dialysis (PD) is a widely used form of home dialysis. However, the efficacy o...

Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.

Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute reject...

Identification and validation of parthanatos-related genes in end-stage renal disease.

BACKGROUND: End-Stage Renal Disease (ESRD) is a severe chronic kidney disease with a rising global i...

Visit-to-visit blood pressure variability as a prognostic marker in peritoneal dialysis: insights from machine learning-based risk models.

Exploring predictive models for intradialytic hypotension risk in maintenance hemodialysis patients: A systematic review.

BACKGROUND: This systematic review evaluates existing risk prediction models for intradialytic hypot...

Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques.

Social media has become an integral part of daily life, with platforms like Twitter serving as popul...

Method for Predict Stenosis of Arteriovenous Fistula Patients Based on Machine Learning.

OBJECTIVES: Arteriovenous fistula (AVF) is the most ideal vascular access for hemodialysis. People w...

An explainable machine learning model for early warning of hypertensive and hypotensive anomalies in maintenance hemodialysis patients.

BACKGROUND: Intradialytic hypotension (IDH) and intradialytic hypertension (IDHTN) are major complic...

Machine learning-based prediction model for arteriovenous fistula thrombosis risk: a retrospective cohort study from 2017 to 2024.

BACKGROUND: Thrombosis of arteriovenous fistulas represents a prevalent complication among patients ...

The Role of Precision Nutrition in Kidney Disease.

Precision nutrition utilizes an individualized approach in which dietary interventions are tailored ...

Machine Learning for Discriminating Microcytic Hypochromic Anemia Based on Erythrocyte Parameters.

INTRODUCTION: Thalassemia trait (TT) and iron deficiency anemia (IDA) are two common types of microc...

A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability.

INTRODUCTION: This study evaluated the reliability, quality, and readability of ChatGPT (OpenAI, San...