Campuses:

Simulation and Computation Related Challenges for the Adoption of In Silico Medicine

Friday, November 11, 2016 - 1:25pm - 2:25pm
Lind 305
Markus Reiterer (Medtronic)
Patients have continuously increasing expectations for the effectiveness and safety of medical therapies at a time was resources to treat patients are becoming more constraint. The cost of developing improved or new therapies has been continuously rising over the past few decades. In particular the cost of the regulatory process has outpaced the revenue growth of the medical device industry. In silico medicine has the potential to slow down the acceleration of the evidence cost, while at the same time reduce the exposure of patients to unproven therapies, and to improve the efficacy and safety of the devices. In my talk, I will cover at a high level several issues where the application of smart and sophisticated mathematics and computation, including data science is needed to make a difference. There are still many unresolved challenged with creating personalized or individualized computer models of the interaction of a medical device with a patient. Examples are models of diabetic patients, semi-automated workflows for the generation models from medical images, Bayesian approaches to combine human and in silico clinical evidence for regulatory submissions, and literature reviews generated by cognitive computing that result in a treatment recommendation.

Markus Reiterer, grow up in Austria and received both his Dipl.-Ing. (M.S.) and Doctorate (Ph.D.) from the University of Leoben in Austria. During his graduate studies, Markus was employed as Research Associate at the Fraunhofer-Institute for Mechanics of Materials in Freiburg, Germany. In 2004 Markus joined Sandia Natl. Labs as Post-doctoral Appointee, where he continued his research in computational simulation of sintering of ceramics. He is an internationally recognized expert in mechanics of granular media and theory of sintering.

Since joining Medtronic in 2006, Markus has been subject matter experts in many projects critical to quality or revenue. He is known as expert for FEA of materials with complex behavior, high cycle fatigue, welding and joining, and tribology. Markus serves as information hub for additive manufacturing and has also been leading the Pan-Medtronic Working Group for Modeling and Simulation. Since the first days at Medtronic Markus has been active on the Technical Forum and served on the organizing committee for the annual S&T Conference. Currently, Markus is the President-Elect for the Technical Forum.

Markus has been successfully leading several Medtronic - university collaborations, given multiple invited talks at international conference, co-organized several international conference, published 11 peer-reviewed paper, frequently serves as journal reviewer, and is a co-author of the Avicenna roadmap for in silico clinical trials. Markus holds 5 patents.