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Welcome to Novo Nordisk Rare Diseases Science Hub

 

The information on this website is intended for healthcare professionals only and is provided for the purpose of scientific exchange.

The website is not country specific and may therefore contain information that is not applicable in your country, thus you may find information concerning study drugs or therapeutic uses that have not been approved by drug regulatory agencies. This website is not intended to promote in any way, any use, either approved, or unapproved, of a Novo Nordisk product or of any other product or serve as basis for any treatment decision or action. Please always refer to Summary of Product Characteristics (product label) as approved by regulatory authorities in your country or contact Novo Nordisk for further information.

Furthermore, the site is not intended to replace the advice of a healthcare professional and should not be construed as providing advice or making a recommendation. Only a physician can determine whether a specific product is correct for a particular patient. Novo Nordisk accepts no liability for the accuracy, completeness or use of this information, and disclaims any liability to update the information contained on this site.

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Pascal
Tyrrell
PhD, Director of Data Science - Department of Medical Imaging at University of Toronto Associate Professor, Department of Medical Imaging andInstitute of Medical Science - Temerty Faculty of Medicine at University of Toronto, Associate Professor - Department of Statistical Sciences, Faculty of Arts and Scienceat University of Toronto

Pascal Tyrrell currently is the Director of Data Science and Associate Professor with the Department of Medical Imaging at Temerty Faculty of Medicine, University of Toronto where he is also the founding director of the MiDATA Data Science program. Pascal is cross appointed to the Institute of Medical Science and the Department of Statistical Sciences where his research aims to introduce statistically sound and innovative Artificial Intelligence and Machine Learning approaches to the study of medical images in health-related outcomes research.