Abstract: Methods and systems are disclosed for structuring and using information pertinent to in vivo biomarkers, specifically quantitative imaging biomarkers, using semantic web technology for personalized medicine and discovery science. It supports the development and application of statistical evidence at a level of granularity and sophistication more closely tied to the complexity of the disease itself and its underlying biology, including technology linking multiple biological scales, than has previously been eedisclosed. It provides data and computational services to analyze quantitative imaging and non-imaging data, coupled with multi-scale modeling to elucidate pre-symptomatic and clinical disease processes. It may be used to assess technical or analytical performance for its own sake and/or to further annotate the quantitative analysis.

Abstract: Methods and systems for making image-derived information available by performing analyses with semantic annotations accessible using semantic web technology for personalized medicine and discovery science are disclosed. Individual cases are identified according to an identification scheme. Targets for image analysis for each case are characterized in order to support tracking of a given anatomy, suspected pathology, confirmed pathology, or medical intervention at one or more timepoints. Access information to one or more medical images of each target at each one of the one or more timepoints is provided and stored. One or more levels of image-derived analysis is obtained and stored, the image derived analysis including at least one of imaging features, measured quantities, phenotypic descriptions, or predictions relative to said one case.