Euan Ashley on Bigger Data from Genetics and Genomics
At the Big Data in Biomedicine conference held here in May, leading figures from academia, industry, government and philanthropic foundations gathered to explore the vast opportunities for mining the growing volume of public health data and developing new ways to prevent, diagnose and treat disease. Several of the talks from the event are now available on the conference website.
In the above video, Stanford cardiologist Euan Ashley, MD, discusses the difficulty inherent in ultra-detailed personalized health analyses and how to parse out the complexity of biological networks. Ashley says, “One of the themes of this conference, and one of the themes of big data, is that although we need to think and try to understand biology at a global level, if we want to translate things to patient care, we have to act locally.”
Previously: Capturing Big Data in Biomedicine in tweets, photos and blog posts, Big laughs at Stanford’s Big Data in Biomedicine Conference, Image of the Week: The Experimental Man at Big Data in Biomedicine, A call to use the “tsunami of biomedical data” to preserve life and enhance health and Mining medical discoveries from a mountain of ones and zeroes