Deep Learning in Health - It's Not All Diagnostics
Diagnostics is not the only challenge that we need to solve in order to provide accessible and affordable healthcare to everyone on Earth. Your GP has many skills that we each take for granted but are still a major challenge for machines. This includes the ability to see, to understand language and medical concepts, and the ability to hold a goal-oriented conversation. Translating breakthrough findings from other application domains of machine learning to healthcare is key to achieving our vision of universal healthcare.
Nils Hammerla leads the machine learning at babylon, the UK’s leading digital healthcare service. Its purpose is to democratise healthcare by putting an accessible and affordable health service into the hands of every person on earth. In order to achieve this the company is bringing together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines with the best medical expertise of humans to create a comprehensive, immediate and personalised health service and make it universally available. Nils holds a PhD in Computer Science from Newcastle University and has published extensively on the application of machine learning to a variety of challenges in healthcare, including automated assessment in Parkinson's disease, Autism, rehabilitation and sports.