In Echo Labs, we have incorporated the full monitoring capabilities of a modern emergency room in a small, noninvasive, optical sensor. With this technology we captured real-time physiological data from hundreds of patients during their everyday lives. Why is this data important? How can we analyze these vast amounts of data to predict which one of the monitored patients needs medical attention? In the lecture I will cover the challenges of using techniques such as deep learning with physiological data, and on incorporating centuries of medical information and know-how in automatic diagnostic algorithms. I will show examples and results of some of our research over the last three years.