BME Seminar by Mudassir Rashid: New Avenues in Digital and Virtual Trials of Diabetes Technologies




John T. Rettaliata Engineering Center, Room 104 10 West 32nd Street Chicago, IL 60616

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The Department of Biomedical Engineering welcomes Mudassir Rashid to present “New Avenues in Digital and Virtual Trials of Diabetes Technologies.”


The cost of care for people with diabetes now accounts for almost a quarter of the total health care dollars spent in the U.S., with total costs exceeding $327 billion.  Diabetes, a chronic disease with no current cure, occurs when the pancreas does not produce sufficient insulin, a vital hormone for regulating blood glucose levels, or when the body cannot effectively utilize the insulin produced.  Our recent advances in deep digital phenotyping and digital twins, which are based on the development of a large cohort of virtual patients characterizing the actual population of people with diabetes, are making it possible to personalize the monitoring and management of chronic diseases such as diabetes.  The digital twin approach we pioneered allows diverse data sets, including physiological measurements, to be amalgamated into an in silico “twin” of a patient.  The virtual digital twin of a real person allows optimizing the treatment decisions in computer simulations before the best treatments can be offered by physicians to patients.  This talk will highlight the capabilities of digital twins for precision medicine and describe novel personalized medicine applications, such as real-time decision support or closed-loop control of glucose levels in diabetes.


Mudassir Rashid is currently a research assistant professor in the Department of Chemical and Biological Engineering at the Illinois Institute of Technology. He obtained his B.Eng. and Ph.D. from McMaster University (Hamilton, Canada) in 2011 and 2016, respectively, and joined Illinois Tech as a senior research associate in 2017. His research interests are in the areas of diabetes technologies, digital health, drug delivery, systems medicine and pharmacology, and digital twins and virtual patients.


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