age-of-ai

Dr. Muhammad Mamdani, PharmD, MA, MPH

Vice President - Data Science and Advanced Analytics, Professor, University of Toronto
Unity Health Toronto

Dr. Muhammad Mamdani, PharmD, MA, MPH

Vice President - Data Science and Advanced Analytics, Professor, University of Toronto
,
Unity Health Toronto
CreativityNow

Muhammad Mamdani, PharmD, MA, MPH Vice President – Data Science and Advanced Analytics at Unity Health Toronto Odette Chair in Advanced Analytics Faculty Affiliate – The Vector Institute Director – University of Toronto Temerty Centre for Artificial Intelligence Research and Education Medicine (T-CAIREM) Affiliate Scientist – IC/ES Professor, University of Toronto Dr. Mamdani is Vice President of Data Science and Advanced Analytics at Unity Health Toronto and Director of the University of Toronto Temerty Faculty of Medicine Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM). Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency with over 50 AI solutions developed and deployed into clinical practice. Dr. Mamdani is also Professor in the Department of Medicine of the Temerty Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana School of Public Health. He is also Affiliate Scientist at IC/ES and a Faculty Affiliate of the Vector Institute, which is a leading institution for artificial intelligence research in Canada. Further, Dr. Mamdani is a member of the Human Drug Advisory Panel of the Patented Medicine Prices Review Board (PMPRB). Previously, Dr. Mamdani founded the Ontario Drug Policy Research Network (ODPRN), which is among the world’s most impactful collaborations between researchers and drug policy decision-makers. He was also the Founding Director of the Li Ka Shing Centre for Healthcare Analytics Research and Training (LKS-CHART) of Unity Health Toronto and the Founding Director of the Applied Health Research Centre (AHRC) of the Li Ka Shing Knowledge Institute of Unity Health Toronto, which is Toronto’s leading academic research organization focused on the design and implementation of multicentre clinical research initiatives including large randomized clinical trials. In 2010, Dr. Mamdani was named among Canada’s Top 40 under 40. Prior to joining the Li Ka Shing Knowledge Institute and Unity Health Toronto, Dr. Mamdani was a Director of Outcomes Research at Pfizer Global Pharmaceuticals in New York. Dr. Mamdani’s research interests include pharmacoepidemiology, pharmacoeconomics, drug policy, and the application of advanced analytics approaches to clinical problems and health policy decision-making. He has published over 500 research studies in peer-reviewed medical journals, including leading journals such as the New England Journal of Medicine, the Lancet, the Journal of the American Medical Association, the British Medical Journal, and Annals of Internal Medicine. His research has been cited over 45,000 times and has an h-index of over 100. Dr. Mamdani obtained a Doctor of Pharmacy degree (PharmD) from the University of Michigan (Ann Arbor) in 1995 and subsequently completed a fellowship in pharmacoeconomics and outcomes research at the Detroit Medical Center in 1997. During his fellowship, Dr. Mamdani obtained a Master of Arts degree in Economics from Wayne State University in Detroit, Michigan with a concentration in econometric theory. He then completed a Master of Public Health degree from Harvard University in 1998 with a concentration in quantitative methods, focusing on biostatistics and epidemiological principles.

Speaker's program:

15:05

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15:30

Remain relevant: align with AI applications in hospitals

  • Understand the transformations underway in hospitals and broader health systems. From streamlined hospital workflows, to diminishing administrative overheads that help elevate patient care quality.
  • Discover the imperative for life science companies to evolve and integrate these tech-driven advancements to maintain relevance and foster meaningful connections with healthcare professionals.
  • Rare Disease use case: hear about an unmet need, that through collaboration and technology, could result in significant uplift in the diagnosis and treatment of multiple rare conditions.
Dr. Muhammad Mamdani, PharmD, MA, MPH
,
Vice President - Data Science and Advanced Analytics, Professor, University of Toronto
,
Unity Health Toronto

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