How to make machine learning work in medicine

In this episode, Karsten Borgwardt gives insights into his current research projects. In two examples, Karsten explains how machine learning algorithms are being developed specifically in the medical sector. Learn about the importance of massive amounts of data, and how this data is used to train a machine learning model to predict the probability of a sepsis of individual patients. Understand the various challenges, the importance of big datasets, the importance of validation, and why it’s a huge undertaking to make machine learning in medicine work. Apart from the Sepsis Study hear how Karstens career started in plant genetics and how the field has grown in importance.

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