Assessing Deceased Donor Kidneys Through Post-Transplant Survival Prediction Algorithms скачать в хорошем качестве

Assessing Deceased Donor Kidneys Through Post-Transplant Survival Prediction Algorithms

This AST Journal Club features the article: "Assessing Deceased Donor Kidneys Through Post-Transplant Survival Prediction Algorithms" Am J Kidney Dis. 2025 Oct 22:S0272-6386(25)01101-1. doi: 10.1053/j.ajkd.2025.07.016. Recorded live on Thursday, January 29, 2026 This AST Journal Club Series webinar is hosted by the AST Education Committee and supported by the AST Kidney Pancreas Community of Practice (KPCOP). This webinar focuses on whether improving the discrimination and calibration of kidney allograft survival prediction models is achievable by including recipient characteristics. These enhanced models have potential to improve the system of kidney allocation. Speakers: Peter Reese, MD, PhD, FAST • Vanderbilt University Medical Center, Nashville, TN Vishnu Potluri, MD, MPH • Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA Moderator: Arpita Basu, MD, MPH, FAST • Emory University School of Medicine, Atlanta, GA Additional contributions to this session were made by: Joel Adler, MD • University of Texas at Austin Dell Medical School, Austin, TX Chapters: 00:00 Welcome 00:23 Introduction, by Dr. Basu 02:26 Presentations, by Drs. Reese and Potluri 28:53 Panel Discussion, led by Dr. Basu --- Explore all of AST’s professional education content at: https://www.myast.org/education The AST Journal Club Series is available at: https://www.myast.org/education/webin... #AcademicMedicine #transplant #organtransplant #kidneyhealth #kidney #kidneytransplant