Andrew Sage

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Assistant Scientist, Toronto General Hospital Research Institute (TGHRI)

https://orcid.org/0000-0003-2517-9062
Keywords: Biotechnology, medical devices, lung transplantation, ex vivo lung perfusion, machine learning, artificial intelligence

Dr. Andrew T. Sage is an Assistant Scientist with the Toronto Lung Transplant Program at the Toronto General Hospital Research Institute and an Assistant Professor at the University of Toronto. Dr. Sage received a BSc (Biochemistry) from Queen’s University in 2007, MSc from McMaster University (Biochemistry and Biomedical Sciences) in 2009, and a PhD from the University of Toronto (Pharmaceutical Sciences) in 2015. His research focuses on identifying and translating novel biomarkers and medical devices to aid in surgical decision-making during lung transplantation. He has a keen interest in cutting-edge technologies, including machine learning, artificial intelligence, and remote piloted aircrafts.

The goal of my research program is to enable transplant teams with access to novel, high-quality assays and algorithms that can be used to make enhanced clinical decisions for optimal patient outcomes. Specifically, my research program is focused on:

  1. The discovery of novel biomarkers that predict patient outcomes. The goal of this work is to identify novel biomarkers that can be used to predict pre-transplant and ex vivo outcomes, post-transplant outcomes, and response to therapy.
  2. The development of assays to actualize biomarker testing. Biomarker discovery represents the foundation for medical devices; however, translation of biomarkers into diagnostic tests remains a significant barrier to routine clinical adoption. This research activity is specifically focused on: (i) engineering novel in-house tests and (ii) the establishment of leading-edge collaborations to build a suite of novel biosensors for transplantation.
  3. The use of artificial intelligence and machine learning to integrate multiple biomarkers and augment clinical decision-making. My research program applies cutting-edge machine learning techniques to develop biomarker algorithms that outperform traditional approaches and extract a wealth of previously untapped data from the transplant procedure.

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Lab Website

For a list of Dr. Sage's publications, please visit PubMed, Scopus or ORCID.

Assistant Scientist, Toronto General Hospital Research Institute (TGHRI)

Assistant Professor, Department of Surgery, Temerty Faculty of Medicine, University of Toronto
Associate Member, Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto