Latest AI and machine learning research in kidney transplantation for healthcare professionals.
Herein, we aim to assess mortality risk prediction in peritoneal dialysis patients using machine-lea...
This study quantified eight small-molecule neurotransmitters collected simultaneously from prefronta...
: Innovative assistive technology can address aging-in-place and caregiving needs of individuals wit...
BACKGROUND: Failure to control volume is the second most common cause of peritoneal dialysis (PD) te...
Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment fa...
Conventional glucose monitoring methods for the growing numbers of diabetic patients around the worl...
After millions of years of evolution, fishes have been endowed with agile swimming ability to accomp...
BACKGROUND: In dialysis patients, non-adherence to oral cinacalcet adds complexity to the control of...
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...