Latest AI and machine learning research in kidney transplantation for healthcare professionals.
Obtaining venous access for blood sampling or intravenous (IV) fluid delivery is an essential first ...
causes life-threatening systemic infections in immunosuppressed patients. These infections are comm...
BACKGROUND: The urine C-X-C motif chemokine 10 (CXCL10) is a promising screening biomarker for renal...
Infectious bursal disease virus (IBDV) in turkeys may result in immunosuppression, and inability of ...
OBJECTIVES: Leflunomide (LFNM) is a drug that belongs to isoxazole derivatives and has immunosuppres...
BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidn...
Decision-making plays an essential role in the interpersonal interactions and cognitive processing o...
Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...
A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to ...
Hand loss is a catastrophic event that generates significant demands for orthopedics and prosthetics...
OBJECTIVE: To comparatively evaluate a range of Natural Language Processing (NLP) approaches for Inf...
This paper shows the application of machine learning techniques to predict hematic parameters using...
Picture fuzzy sets (PFSs) are comparatively a new extension of fuzzy sets which describe the human o...
BACKGROUND: Kidney transplantation should improve abnormalities that are common during dialysis trea...
Artificial agents are becoming prevalent across human life domains. However, the neural mechanisms u...
BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency ...
In the analysis of functional Near-Infrared Spectroscopy (fNIRS) signals from real-world scenarios, ...
BACKGROUND: Doppler ultrasound (DU) monitoring early after arteriovenous fistula (AVF) creation allo...
A machine learning-based methodology for the prediction of chemical reaction products, along with au...
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascula...
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early det...