This section aims to allow rapid communication of methods and results that utilize computational modeling and epidemiologic approaches in translational medicine. The focus will be on population-based studies that extend towards more molecular level analysis. Submission of studies involving methods development is encouraged where actual application and results can be shown in the healthcare and life sciences domains. Among the approaches highlighted in this section are data-mining for health impact, data modeling, health record system design, applications of epidemiologic analysis, public policy evaluation, hypothesis evaluation and testing, risk assessment in healthcare and life sciences. These articles will describe the perspective on translational medicine where the approach and results reflect the computational modeling and epidemiologic aspects of this emerging area of research.