AIMC Topic: Kidney Transplantation

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A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network.

International journal of medical informatics
BACKGROUND: Predicting the function of transplanted kidneys would help clinicians in individualized medical interventions. We aimed to develop and validate a predictive tool for a future value of estimated glomerular filtration rate (eGFR) at upcomin...

Minimally invasive donor nephrectomy: current state of the art.

Langenbeck's archives of surgery
BACKGROUND: The concept of a minimally invasive live donor nephrectomy developed over 20 years ago. Surgeons gained expertise with the laparoscopic technique and utilized multiple variations that are now utilized in transplant centers throughout the ...

Robot-assisted Kidney Autotransplantation: A Minimally Invasive Way to Salvage Kidneys.

European urology focus
BACKGROUND: Kidney autotransplantation (KAT) is the ultimate way to salvage kidneys with complex renovascular, ureteral, or malignant pathologies that are not amenable to in situ reconstruction. A minimally invasive approach could broaden its adoptio...

Long-term Glomerular Filtration Rate and Kidney Disease: Improving Global Outcomes Stage Stability After Conversion to Once-Daily Tacrolimus in Kidney Transplant Recipients.

Transplantation proceedings
Close monitoring of estimated glomerular filtration rate (eGFR) is important for early recognition of worsening renal function to prevent further deterioration. Safe conversion from twice-daily tacrolimus (TD-Tac) to once-daily tacrolimus (OD-Tac) ha...

Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections.

IEEE transactions on medical imaging
Transplantable kidneys are in very limited supply. Accurate viability assessment prior to transplantation could minimize organ discard. Rapid and accurate evaluation of intra-operative donor kidney biopsies is essential for determining which kidneys ...

Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation.

PloS one
The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms in predicting the bioavailability of tacrolimus and the risk for post-transplant diabetes. Artificial neural network (ANN) and logistic regression (L...

Characteristics and clinical outcomes of living renal donors in Hong Kong.

Hong Kong medical journal = Xianggang yi xue za zhi
INTRODUCTION: In Asia, few reports are available on the outcomes for living renal donors. We report the short- and long-term clinical outcomes of individuals following living donor nephrectomy in Hong Kong.