The Peter Munk Cardiac Centre (PMCC) is a world leader in the diagnosis, care and treatment of both simple and complex cardiac and vascular disease.
VISION
Transform the future of cardiac and vascular care for patients across Canada and around the world by integrating excellence in clinical care, research, innovation and teaching.
VALUES
Personalize clinical decision-making, enable research and discovery science, and improve health system operational efficiency through AI
MISSION
AI scientists that partner with data engineers and clinician-researchers to apply machine learning approaches to address three main areas of focus
a) improve the efficiency of hospital operations
b) develop precise treatment options for individual patients
c) identify novel relationships in large data sets that lead to new advances in clinical care
Team
Dr. Bo Wang
Lead AI Scientist
Dr. Chris McIntosh
AI Scientist
Dr. Barry Rubin
Executive Lead
Dr. Heather Ross
Clinician Investigator
Dr. Ahmadreza Attarpour
AI Scientist
Joe Duhamel
Data Architect
Dr. Shakun Baichoo
Bioinformatics Scientist
Dr. Vallijah Subasri
AI Scientist
Briana Layard, RN
Clinical Lead
Neil Punwasi
Bioinformatician Andia Toomari
Project Manager
Siham Amara-Belgadi
PhD Student McIntosh ML Lab
William Gao
PhD Student McIntosh ML Lab
Balagopal Unnikrishnan
PhD Student McIntosh ML Lab
Sangwook Kim
PhD Student McIntosh ML Lab
Zeinab Navidi
Research Student
Sejin Kim
PhD Student McIntosh ML Lab
Adamo Young
Research Student
Bonnie Chao
Research Student
Chloe Wang
Research Student, PhD
Emmy Fang
Research Student
Duncan Forster
Research Student
Emily So
Research Student
Kathrine Bhargava
Research Student, MSc
John Giorgi
Research Student
Kaden Mckeen
ML Researcher
Lin Zhang
Research Student
Mica Consens
Research Student
Nasim Abdollahi
Post-doctoral Fellow
Oleksii Tsepa
Research Student, MSc
Vivian Chu
Research Student, PhD
Paola Driza
Researcher Student, MSc
Rashmi Nedadur
Researcher
Ronald Xie
Research Student
Roman Burakov
Research Student, BSc
Bhavish Verma
PhD Student McIntosh ML Lab
Max You
PhD Student McIntosh ML Lab
Aly Khalifa
McIntosh ML Lab
Jun Ma
Laura Oliva
Haotian Cui
Rex Ma
Phil Fradkin
Cathy Ongly
McIntosh ML Lab
Hassaan Maan
Featured Publications
The PMCC AI Team have led or collaborated on many projects, listed here are some of the projects that have published in peer reviewed journals. The first three are the latest publications, use the line below to view older publications.
Select an article title to read it in full.
Similarity network fusion for aggregating data types on a genomic scale
Bo Wang, Aziz M Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin Haibe-Kains & Anna Goldenberg. Nature Methods volume 11, pages 333–337 (2014)
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
Bo Wang, Junjie Zhu, Emma Pierson, Daniele Ramazzotti & Serafim Batzoglou. Nature Methods volume 14, pages 414–416 (2017)
Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data
Osvald Nitski, BASc, Amirhossein Azhie, MD, Fakhar Ali Qazi-Arisar, MD, Xueqi Wang, BSc, Shihao Ma, BASc, Leslie Lilly, MD, Kymberly D Watt, MD, Josh Levitsky, MD, Sumeet K Asrani, MD, Douglas S Lee, MD, Barry B Rubin, MD, Mamatha Bhat, MD, Bo Wang, PhD. The Lancet Digital Health, Volume 3, Issue 5, e295 – e305
BIONIC: biological network integration using convolutions
Duncan T. Forster, Sheena C. Li, Yoko Yashiroda, Mami Yoshimura, Zhijian Li, Luis Alberto Vega Isuhuaylas, Kaori Itto-Nakama, Daisuke Yamanaka, Yoshikazu Ohya, Hiroyuki Osada, Bo Wang, Gary D. Bader & Charles Boone. Nat Methods 19, 1250–1261 (2022).
AI-guided Prospective Cancer Radiotherapy
Chris McIntosh, Leigh Conroy, Michael C. Tjong, Tim Craig, Andrew Bayley, Charles Catton, Mary Gospodarowicz, Joelle Helou, Naghmeh Isfahanian, Vickie Kong, Tony Lam, Srinivas Raman, Padraig Warde, Peter Chung, Alejandro Berlin & Thomas G. Purdie. Nat Med 27, 999–1005 (2021).
Development of a deep learning algorithm to predict long-term cardiovascular complications post liver transplantation
Osvald Nitski, BASc, Amirhossein Azhie, MD, Fakhar Ali Qazi-Arisar, MD, Xueqi Wang, BSc, Shihao Ma, BASc, Leslie Lilly, MD, Kymberly D Watt, MD, Josh Levitsky, MD, Sumeet K Asrani, MD, Douglas S Lee, MD, Barry B Rubin, MD, Mamatha Bhat, MD, Bo Wang, PhD. The Lancet Digital Health, Volume 3, Issue 5, e295 – e305
Paralleling the Expressed Genomic Diversity in Host Response in Sepsis to Myocardial Infarction
Augustin Toma, Claudia dos Santos, Beata Burzyńska, Monika Góra, Marek Kiliszek, Natalie Stickle, Holger Kirsten, Leah B. Kosyakovsky, Bo Wang, Sean van Diepen, Slava Epelman, Yishay Szekely, John C. Marshall, Filio Billia, and Patrick R. Lawler. The Lancet Digital Health, Volume 3, Issue 5, e295 – e305
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