Kidney Transplantation

Artificial Intelligence and Machine Learning in Dialysis: Ready for Prime Time?

Robust Composite H Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method.

This article focuses on the composite H synchronization problem for jumping reaction-diffusion neura...

Towards Interpretable Camera and LiDAR Data Fusion for Autonomous Ground Vehicles Localisation.

Recent deep learning frameworks draw strong research interest in application of ego-motion estimatio...

Biological signatures and prediction of an immunosuppressive status-persistent critical illness-among orthopedic trauma patients using machine learning techniques.

BACKGROUND: Persistent critical illness (PerCI) is an immunosuppressive status. The underlying patho...

Early prediction of hemodialysis complications employing ensemble techniques.

BACKGROUND AND OBJECTIVES: Hemodialysis complications remain a critical threat among dialysis patien...

mRNAsi-related metabolic risk score model identifies poor prognosis, immunoevasive contexture, and low chemotherapy response in colorectal cancer patients through machine learning.

Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer st...

Reinforcement-Learning-Based Disturbance Rejection Control for Uncertain Nonlinear Systems.

This article investigates the reinforcement-learning (RL)-based disturbance rejection control for un...

Artificial Intelligence Algorithm-Based MRI in the Diagnosis of Complications after Renal Transplantation.

This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by resi...

A Machine Learning Model for Predicting Mortality within 90 Days of Dialysis Initiation.

BACKGROUND: The first 90 days after dialysis initiation are associated with high morbidity and morta...

Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation.

Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually requi...

Adaptive Anti-Disturbance Control for Systems With Saturating Input via Dynamic Neural Network Disturbance Modeling.

This article discusses the issue of disturbance rejection and anti-windup control for a class of com...

Enhanced fractional-order PID control for a forced circulation evaporator system via advanced disturbance observer.

Strong disturbances, time delays, and coupling effects complicate the control of evaporator systems....

Reversing radiation-induced immunosuppression using a new therapeutic modality.

Radiation-induced immune suppression poses significant health challenges for millions of patients un...

Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.

BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both th...

3D-SLIP model based dynamic stability strategy for legged robots with impact disturbance rejection.

Inspired by biomechanical studies, the spring-loaded inverted pendulum model is an effective behavio...

Convolutional Prototype Network for Open Set Recognition.

Despite the success of convolutional neural network (CNN) in conventional closed-set recognition (CS...

Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies.

Endomyocardial biopsy (EMB) screening represents the standard of care for detecting allograft reject...

System Transformation-Based Neural Control for Full-State-Constrained Pure-Feedback Systems via Disturbance Observer.

In this article, a novel disturbance observer-based adaptive neural control (ANC) scheme is proposed...

Effectiveness of Retzius-Sparing Robot-Assisted Radical Prostatectomy in a Renal Transplant Recipient: a Case Report.

BACKGROUND: Prostate cancer (PCa) has increased as a long-term outcome of advanced immunosuppression...

Functions of RNF Family in the Tumor Microenvironment and Drugs Prediction in Grade II/III Gliomas.

Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular...

AI-Based Publicity Strategies for Medical Colleges: A Case Study of Healthcare Analysis.

The health status and cognition of undergraduates, especially the scientific concept of healthcare, ...