Pipelines of clinical data from electronic health records to lab and imaging data and multi-OMICS platforms deliver –after data preparation and processing -significant medical information. To harness meaning from this heterogeneous and highly complex datasets we have created applied deep learning methods that researchers can analyze, deconstruct and train to make them suited to personalized medicine approaches.
