The purpose of the STAR 2019 Working Group was to build on findings from the initial STAR
report to further clarify the expectations, limitations, perceptions, and utility of alloimmune …

Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually
require human intelligence. Typical examples include complex decision-making and-image …

Objectives: Early diagnosis and detection of acute rejection following kidney transplantation
are of great significance for guiding the treatment and improving the prognosis of renal …

Kidney transplantation has been the optimal treatment for end-stage kidney disease for
almost 70 years, with increasing frequency over this period. Despite the prevalence of the …

Kidney transplantation is the preferred treatment for patients with end-stage kidney disease,
because it prolongs survival and improves quality of life. Allograft biopsy is the gold standard …

In both research and care, patients, caregivers, and researchers are facing a leap forward in
the quantity of data that are available for analysis and interpretation, marking the daunting …

Tacrolimus (TAC)-based treatment is associated with nephrotoxicity and hepatotoxicity;
however, the underlying molecular mechanisms responsible for this toxicity have not been …

Purpose of review: The emerging field of molecular predictive medicine is aiming to change
the traditional medical approach in renal transplantation. Many studies have explored …

Importance Clinical decision and immunosuppression dosing in kidney transplantation rely
on transplant biopsy tissue histology even though histology has low specificity, sensitivity …

Noninvasive, rapid, and accurate tests for risk-prediction and diagnosis in renal transplant
allografts are urgently required. The ideal candidate is one that can be measured in either …