Fraunhofer Institute for Computer Graphics Research IGDFraunhofer IGD develops tools for its clinical partners enabling them to perform visual-interactive data analysis for the development of patient cohorts. These cohorts then become the basis for studies and for translation into guidelines for the personalized treatment of patients.
Objective
Cohort analysis serves as the basis for personalized medicine. The search for relevant similarities between patients is based on the linkage of current treatment decisions with comparable cases in the past. Cohort analysis thus not only helps in the design of patient studies, but is particularly helpful in the rapid discovery of new correlations.
Role of Fraunhofer IGD
With the help of our customized visual analysis tools, users can immediately see whether the group forms a promising cohort and how it can be refined. Patient groups are repeatedly compiled according to specific symptoms, treatments and outcomes and automatically tested for significant correlations. The previously time-consuming identification, refinement and comparison of cohorts is simplified to the point where it can be performed with the simple click of a mouse. Fraunhofer IGD develops tools for visual-interactive data analysis in close cooperation with users. In this way, for example, new scoring schemes can also be adapted and tested.
Results
We show results from research projects in nephrology and in the field of chronic inflammatory bowel diseases. The flexible combination of visual and analytical methods also supports medical research with omics data conducted by our partners in immune-mediated diseases.
