CDTRP Research Connect Series
The CDTRP Research Connect fall series is taking place every other Tuesday at 1 pm ET until November 2023. Don’t forget to mark your calendars for this engaging series!
This series streamlines the subset of Theme, Hub, and Working Group meetings that aimed to share and discuss the latest research findings across the network and our Webinar series, which featured national and international speakers. Theme, Hub, and Working Group meetings aimed at developing new initiatives, projects, or grants will be scheduled separately, approximately three times per year per group. Our goal is to make it easy for our members to know about and attend high quality presentations across all Themes and topics of interest. We are aiming for active discussions including researchers, trainees, and patient, family, and donor partners, engaging the whole community as if we were having a family dinner rather than listening to a formal presentation.
Dr. Christopher Nguan – Explainable multimodal deep learning for informing bespoke goal-directed anesthesia in kidney transplantation
On October 3, we are pleased to have Dr. Christopher Nguan, Associate Professor at the University of British Columbia, Surgical Head of Kidney Transplantation and the Director of the Surgical Technologies Experimental Laboratory & Advanced Robotics (STELLAR) facility at Vancouver General Hospital, to present on the topic: “Explainable multimodal deep learning for informing bespoke goal-directed anesthesia in kidney transplantation” as part of the CDTRP Theme 3 – Engineer and Allocate Better Graft.
- Date: Tuesday, October 3, 2023
- Time: 1-2 pm EDT
- Location: Zoom
About Dr. Christopher Nguan
Dr. Christopher Nguan is an Associate Professor at the University of British Columbia in the Department of Urological Sciences, Surgical Head of Kidney Transplantation at Vancouver General Hospital and the Director of the Surgical Technologies Experimental Laboratory & Advanced Robotics (STELLAR) facility at Vancouver General Hospital.
His research interests include investigating improved donor and recipient management in organ transplant, and the applications of technology and machine learning in improving outcomes for surgical patients.
