Data is growing and moving faster than healthcare organizations can consume it; 80% of medical data is unstructured and is clinically relevant. Getting access to this valuable data and factoring it into clinical and advanced analytics is critical to improving care and outcomes. Healthcare organizations are leveraging big data technology to capture all of the information about a patient to get a more complete view for diagnostics, therapy planning and evaluation. In this project we aim at developing new diagnostic methods based on high-throughput large medical data analysis (omics and image data) and associated cohort analysis in combination with novel techniques for big data management and machine learning.
The project is part of the newly established Berlin Big Data Center (BBDC), one of the national big data competence centers funded by the German Ministry of Research and Education (BMBF).