HeKA

HeKA is a multidisciplinary team composed of researchers, clinicians-researchers, teacher-researchers affiliated to Inria, Inserm, University Paris Cité. Our Research themes are biomedical informatics, biostatistics and applied mathematics for Digital Health. HeKA brings together a highly interdisciplinary and complementary group of experts with diverse skills in computer science, medical informatics, applied mathematics, public health, epidemiology, and biostatistics. Their collective mission is to develop methods, models, and tools with the overarching objective of creating, evaluating, and validating learning health systems, i.e., a health system that leverages clinical data collected to extract agilely and reliably novel medical knowledge that, in turn, continuously improves healthcare. We rely on multimodal and multi source health data, i.e., EHRs (Electronic Health Records), clinical trials, pre-clinical trial data, cohorts and other linked data to develop models for stratification and prediction with the potential of improving the precision and the personalization of treatments, and in turn the quality of healthcare.