Universal Time: 21:22  |  Local Time: 21:22 (3h GMT)
Select your timezone:

Abstract Session
Predictive model in transplantation

Monday September 23, 2024 | 13:40 to 15:10
Room: TBD
Track: N/A

Presentations

Valentin Goutaudier, France Invited Speaker
Predicting kidney allograft rejection using blood biomarkers: a prospective multicenter unselected cohort study (EU-TRAIN)

Mr. Alvaro Assis de Souza, Netherlands
Interpretable prediction of kidney allograft rejection using machine learning: A comparison between linear and non-linear models

Ms. Eliz Peyraud, France
Outcomes of liver transplantation in patients 60 years and older: a multivariate analysis using penalized Cox regression

Dr. Farzaneh Boroumand, Australia
Socioeconomic disadvantage, all-cause and cause-specific mortality in patients treated with maintenance dialysis: A causal mediation analysis of geographical inequity and multimorbidity

Christie Rampersad, Canada
Organ donation and transplantation registries across the globe: A review of the current state

Dr. Hemant Sharma, United Kingdom
Results from the SUMMIT Study: SUccessful transplantation with Marginal (DRI>1.5) deceased donor kidneys - Identifying determinanTs.

Dr. Balin Ozsoy, Belgium
Virtual patients, real solutions: Generating high-fidelity synthetic patient data for organ transplantation

Mrs. Konstantina Eleni Karakasi, Greece
Innovation in liver transplantation: Volume calculation using reality capture hardware via LIDAR 3D technology

Mrs. Liceth Viviana V CastaƱeda, Colombia
"Machine Learning in Transplant Medicine: Predicting Diarrheic Diseases in Kidney Recipients"

Social Media Promotion Image

right-click to download

© 2024 TTS 2024