The Institute for Biomedical Engineering, Science and Technology (iBEST) invites you to join us for the 2026 iBEST Symposium, a full-day in-person event that brings together leading researchers, clinicians, industry professionals and trainees to explore the latest advancements in biomedical innovation.

The 2026 iBEST Symposium will explore emerging directions in biomedical innovation, with a focus on AI-enabled biomedical technologies and Healthcare 4.0.

Event Details

Theme: Healthcare 4.0 — AI-enabled biomedical technologies and clinical and scientific applications

Date: Tuesday, October 13, 2026

Location: Li Ka Shing Knowledge Institute, 209 Victoria St, Toronto, ON 

Time: 8:30 a.m. – 4:15 p.m.

Contact: ibest@torontomu.ca

Featured Speakers

Dr. Ellen Grant

Dr. Ellen Grant

Käthe Beutler Professor of Pediatrics, Professor of Radiology, Harvard Medical School

Biography

Dr. Grant is the Käthe Beutler, MD Harvard Professor of Pediatrics and Professor of Radiology, Harvard Medical School. She is a practicing Pediatric Neuroradiologist, Director of Faculty Affairs for the Department of Radiology, Director of Research for the Fetal Care and Surgery Center and founding Director of the Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC) in the Departments of Pediatrics and Radiology. The FNNDSC currently has over 90 members with 16 faculty and 11 postdoctoral research fellows and focuses on collaborative research providing technical expertise and support to clinical teams. Dr. Grant is a Senior Fellow of the International Society of Magnetic Resonance in Medicine (ISMRM), received the Outstanding Contributions in Research Award from the American Society of Neuroradiology in 2021 and received the Gold Medal Award from the American Society of Pediatric Neuroradiology in 2022. She has published over 300 articles, has an h-index of 79 with over 25,000 citations and is PI on 9 major NIH awards.

Dr. Nelson Shen

Dr. Nelson Shen

Assistant Professor and Faculty Lead (HSR-Health Informatics) Institute of Health Policy, Management and Evaluation (IHPME). Dalla Lana School of Public Health, University of Toronto

Biography

Nelson Shen, MHA PhD, is a Staff Scientist at the Centre for Addiction and Mental Health and an Assistant Professor at the University of Toronto, where he is Faculty Co-Lead for the Health Systems Research Program (Health Informatics). His work sits where human-centred design, mental health, and AI meet. He leads projects that partner with patients and other interest holders in designing research and improving digital health and AI initiatives. Much of it examines patient privacy and how to build trust through consent, AI literacy, policy, and other mechanisms to help people make the best decisions for themselves.

Panel Discussion: Clinical Problems

 

Dr. Michael Colacci

Dr. Michael Colacci

Assistant Professor, Department of Medicine, University of Toronto

Biography

Michael Colacci, MD, PhD, is a general internist and clinician scientist at St. Michael’s Hospital and an Assistant Professor in the Department of Medicine at the University of Toronto. His research focuses on improving care processes and patient outcomes in general internal medicine, including the equitable development and implementation of clinical AI and machine learning decision-support tools. He completed medical school at Northwestern University, followed by internal medicine residency, an academic medicine fellowship, and a PhD in clinical epidemiology at the University of Toronto.

Dr. Niro Sivachandran

Dr. Niro Sivachandran

Retina Specialist, Toronto Retina Institute

Biography

Dr. Niro Sivachandran is a retina specialist who completed a two-year Vitreoretinal Fellowship at the University of Ottawa, following her medical degree at the University of Toronto and ophthalmology residency at McMaster University. Her clinical interests include team-based approaches to comprehensive retinal care, particularly for underserved communities in Ontario. She has expertise in complicated cataract surgery, secondary lens fixation, and MSICS. Dr. Sivachandran also brings experience in molecular biology and scientific research, with a strong interest in developing novel treatments and therapeutic targets to improve vision and quality of life. She remains committed to ongoing learning, innovation, and community service. 

Dr. Howard Leong-Poi

Dr. Howard Leong-Poi

Medical Director, Heart, Lung, Vascular & Neurology Program, St. Michael's Hospital

Biography
  • Medical Director, Heart, Lung, Vascular & Neurology Program, St. Michael’s Hospital 

  • Scientist, Keenan Research Centre for Biomedical Science, Unity Health Toronto

  • Departmental Division Director, Division of Cardiology, University of Toronto

  • Dexter Hung-Cho Man Chair in Cardiology, and Professor of Medicine, University of Toronto

Howard Leong-Poi is a cardiologist and clinician-scientist at St. Michael’s Hospital, Unity Health Toronto. He is a Professor of Medicine and the Departmental Division Director, Division of Cardiology at the University of Toronto and Dexter Hung-Cho Man Chair in Cardiology. His research career has focused on developing effective, safe, non-invasive techniques to deliver genes using ultrasound-targeted microbubble destruction (UTMD) and elucidating underlying novel mechanisms of action. Clinically, his expertise lies in contrast echocardiography and the assessment of valvular heart disease. He was awarded the 2017 Feigenbaum Lecturer from the American Society of Echocardiography and received the Annual Achievement Award from the Canadian Society of Echocardiography (CSE) in 2025.

Panel Discussion: AI Considerations

 

Dr. Chi-Ming Chow

Dr. Chi-Ming Chow

Staff Cardiologist and Director, Echocardiography Laboratory, St. Michael's Hospital

Biography
  • Staff Cardiologist and Director, Echocardiography Laboratory, Program Director, Echocardiography Fellowship, St. Michael’s Hospital and University of Toronto
  • Professor of Medicine, University of Toronto
  • Vice-President, Canadian Cardiovascular Society
  • Past President, Canadian Society of Echocardiography

Dr. Chi-Ming Chow is a Staff Cardiologist and Director of the Echocardiography Laboratory at St. Michael’s Hospital, and Professor of Medicine at the University of Toronto. He completed his medical and cardiology training at McGill University and an echocardiography fellowship at Massachusetts General Hospital, Harvard University. His clinical expertise includes non-invasive cardiac imaging and echocardiography. Dr. Chow is a recognized leader in medical informatics, having developed widely used cardiovascular education and guideline apps. He is President of the Chinese Canadian Medical Society and is committed to advancing innovation in patient care and medical education.

Dr. Emily Seto

Dr. Emily Seto

Associate Professor, Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto

Biography

Emily Seto holds a Tier 1 Canada Research Chair in Accessible Virtual Care Innovations. She is an Associate Professor and the Director of the Health Systems Research Program at the Institute of Health Policy, Management and Evaluation at the University of Toronto. She is a Professional Engineer of Ontario, a Senior Scientist at the Centre for Digital Therapeutics and the Toronto General Hospital Research Institute at the University Health Network, and co-Director of the International Collaborative for Translational Digital Health. Her research interests include virtual care, mHealth, remote patient management, user-centred design processes, women’s health, implementation science, and global health.

Dr. Faezeh Ensan

Dr. Faezeh Ensan

Associate Professor, Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University

Biography

Faezeh Ensan is an Associate Professor in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University and Director of the NSERC CREATE program on the Responsible Development of AI (RAI). Her research focuses on trustworthy text generation and processing in high-stakes settings such as biomedical applications. She has published in venues such as Machine Learning, ACM TOIS, Journal of Biomedical Informatics, Information Systems Journal, Knowledge and Information Systems, Information Processing & Management, AAAI, CIKM, and WSDM. She has organized different community events, including Responsible AI Day at KDD and “Semantics-Enabled Biomedical Literature Analytics” at The Web Conference, and has guest-edited special issues on biomedical text processing and responsible AI deployment.

Dr. Nelson Shen

Dr. Nelson Shen

Assistant Professor and Faculty Lead (HSR-Health Informatics) Institute of Health Policy, Management and Evaluation (IHPME). Dalla Lana School of Public Health, University of Toronto

Biography

Nelson Shen, MHA PhD, is a Staff Scientist at the Centre for Addiction and Mental Health and an Assistant Professor at the University of Toronto, where he is Faculty Co-Lead for the Health Systems Research Program (Health Informatics). His work sits where human-centred design, mental health, and AI meet. He leads projects that partner with patients and other interest holders in designing research and improving digital health and AI initiatives. Much of it examines patient privacy and how to build trust through consent, AI literacy, policy, and other mechanisms to help people make the best decisions for themselves.

 

2026 iBEST Symposium Agenda Highlights

 

8:00 a.m. – 9:00 a.m.

Registration and Breakfast


9:00 a.m – 9:15 a.m

Welcome and Opening Remarks


Featured Presentation and Q-and-A

9:15 a.m – 10:15 a.m.

Dr. Ellen Grant

Käthe Beutler Professor of Pediatrics, Professor of Radiology, Harvard Medical School


10:15 a.m. – 10:30 a.m

Coffee Break & Networking 


10:30 a.m. to 11:00 a.m.

Trainee Lightning Talks


11:00 a.m. to 12:00 p.m.

Panel: Clinical Problems

Details TBD.


12:00 p.m. to 1:30 p.m.

Lunch


12:30 p.m. to 1:30 p.m.

Trainee Poster Competition Showcase 


Featured Presentation and Q-and-A

1:30 p.m. to 2:15 p.m.

Dr. Nelson Shen

Assistant Professor and Faculty Lead (HSR-Health Informatics) Institute of Health Policy Management and Evaluation (IHPME) Dalla Lana School of Public Health, University of Toronto 


2:15 p.m. to 3:00 p.m.

Panel: AI Considerations

Details TBD.


3:00 p.m. to 3:30 p.m.

Award Announcements


3:30 p.m. to 3:45 p.m.

Closing Remarks


3:45 p.m. to 4:15 p.m.

iBEST Community and Alumni Post-Event Networking Session

Trainee Competitions

Trainees are invited to participate in the Trainee Lightning Talks Competition and Poster Competition, with opportunities to win monetary prizes and showcase their work to experts across clinical, academic and research domains.

Learn more and submit your entry for the Trainee Poster and Lightning Talks Competitions

iBEST Trainee AI Workshop

Join us for a morning of practical, hands-on professional development designed for trainees across all disciplines. Participants will rotate through two interactive workshops focused on agentic AI and industry-ready resume development.

Date: October 1, 2026

Time: 9:30 a.m. – 12:45 p.m.

Location: 209 Victoria Street, Rooms 240 and 241

Contact Us

Register for the 2026 iBEST Symposium by October 9

For more information about the symposium, contact ibest@torontomu.ca.

We look forward to welcoming you to the 2026 iBEST Symposium, where ideas meet impact.

View Past iBEST Symposia

2025 Annual iBEST Symposium

Friday, May 16, 2025

2024 Annual iBEST Symposium

Thursday, May 30, 2024

2023 Annual iBEST Symposium

Friday, April14, 2023

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