Fredagskollokvium: Math in the Service of Medicine: Concepts, tools and techniques for predicting risk

Molly Maleckar, Director, Simula School of Research and Innovation, Simula Research Laboratory

Modern medicine relies upon evidence-based techniques, including randomized controlled trials, as a gold standard. While representing a substantial improvement and standardization in healthcare over the past centuries, it may also reveal a reactive paradigm wherein populations and symptoms, rather than specific individuals and their risk, are in focus. Predictive medicine seeks instead to predict the probability of disease or an adverse health event and begin appropriate measures and/or therapies accordingly. While centered on genetic testing in the current imagination, the future clinical standard of predictive medicine may also include advanced mathematical modeling and numerical simulation tailored to individual patients and/or a specific patient cohort. This talk seeks to give an overview of some of these developments at Simula Research Laboratory, a research institute at Fornebu. First, I will offer a brief overview of Simula as an institution and its research areas, followed by a more in-depth look at research in the Cardiac Modeling (CaMo) department and its partnership in the Center for Cardiological Innovation. Finally, a completely distinct, exciting application area in predictive simulation from Simula's Biocomputing (BioComp) department will be introduced. Presented from a top-level perspective with modest levels of technical detail and some mathematics, attendees will learn about simulation-based biophysical modeling in healthcare at Simula, and hopefully be well-entertained in the process.

Publisert 9. mars 2014 22:16 - Sist endret 24. apr. 2014 21:58