The main focus of the second Up Close and Personalized Congress is to examine the essential clinical, imaging, genomic, proteomic, metabolomic, pharmacogenomic and biomarker data necessary to predict, prevent and treat major medical conditions concerning metabolism (diabetes and obesity) and cancer. As in the first meeting one of the key themes will be to explore bio-informatic tools, algorithms, decision support systems and other new platforms for disease prediction and better tailoring treatment modeling to the individual patient. Furthermore, we will discuss health policy issues such as barriers for implementing Personalized Medicine, and quality assurance.