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Podcast: Lund University Makes Heart Transplants Safer with MATLAB Parallel Computing


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.

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