In this slidecast, Silvina Grad-Frelich from MathWorks discusses how Lund University used MATLAB, Neural Network Toolbox, Parallel Computing Toolbox, and MATLAB Distributed Computing Server to improve long-term survival rates for heart-transplant recipients by identifying optimal recipient and donor matches.
Read the Full Story.
Download the MP3 * Subscribe on iTunes * Subscribe on other podcast players
Leave your own comment