Abstract Session: Predictive model in transplantation
Monday September 23, 2024 from 13:40 to 15:10
3B-01 Room
Moderators
  • Edward K. Geissler, Germany
  • Dr. Lucy Sullivan, Australia
Lectures
  • 249.a Predicting kidney allograft rejection using blood biomarkers
    Valentin Goutaudier, France
  • 249.1 Interpretable prediction of kidney allograft rejection using machine learning: A comparison between linear and non-linear models
    Mr. Alvaro Assis de Souza, Netherlands
  • 249.2 Outcomes of liver transplantation in patients 60 years and older: a multivariate analysis using penalized Cox regression
    Ms. Eliz Peyraud, France
  • 249.3 Socioeconomic disadvantage, all-cause and cause-specific mortality in patients treated with maintenance dialysis: A causal mediation analysis of geographical inequity and multimorbidity
    Dr. Farzaneh Boroumand, Australia
  • 249.4 Organ donation and transplantation registries across the globe: A review of the current state
    Christie Rampersad, Canada
  • 249.5 Results from the SUMMIT Study: SUccessful transplantation with Marginal (DRI>1.5) deceased donor kidneys - Identifying determinanTs.
    Dr. Hemant Sharma, United Kingdom
  • 249.6 Innovation in liver transplantation: Volume calculation using reality capture hardware via LIDAR 3D technology
    Mrs. Konstantina Eleni Karakasi, Greece
  • 249.7 "Machine Learning in Transplant Medicine: Predicting Diarrheic Diseases in Kidney Recipients"
    Mrs. Liceth Viviana V Castañeda, Colombia