Gazing into a crystal ball to predict kidney transplant outcome.

Comparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

Comparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

Superantigens: Gazing into the crystal ball

The recently determined crystal structures of complexes between bacterial toxin 'superantigens' and MHC class II molecules shed light on the nature of the interactions between these two molecules.

Crystal ball gazing and the effects of fate.

Increased Expression of Toll-Like Receptors 2 and 4 in Renal Transplant Recipients that Develop Allograft Dysfunction: A Cohort Study

Background: The incidence of ischemic reperfusion injury (IRI) in early phase post-transplantation and activation of toll-like receptor (TLR-2) and TLR-4 remarkably impact the outcome of a renal allograft. Objective: To investigate whether the expression of TLRs in peripheral blood mononuclear cells (PBMCs) can predict the clinical outcome of kidney allografts. Methods: We obtained blood sample...