Large-Scale Health Surveillance by Collaborative Learning and Selective Sensing

An unprecedented opportunity for disease research and management offered by the era of big data presents itself in the abundance of data easily acquired from a wide range of perspectives over many years. In the context of specific diseases such as Alzheimer’s disease, depression, or type 1 diabetes, one central question remains: how can we translate the big disease data into better health management of millions of preclinical or diseased patients?