Rethinking Information Processing for Medical Big Data

Big data holds big promises for R&D and personalized medicine. Recent advances in the medical sciences require a technology platform that can deliver on all dimensions of this big data. A foundation that can converge various data sources, clinical, biological, and lifestyle while providing predictive and prescriptive real-time insights is necessary to create more breakthroughs than previously possible. SAP in collaboration with leading medical research institutions in genomics, cancer research centers and care providers has achieved breakthrough results in healthcare data processing. One example is the development of ProteomicsDB, a database  that holds 18,000 human proteins, 92 percent of the entire proteome. Ranging from real-time exploration of patient cohort data and the analysis of medical and scientific documents to full blown clinical data warehouses, from the detection of genetic variants in next-generation genome data to the identification of disease patterns in proteomes, all of these applications have one thing in common: They help researchers dedicate their time to that part of their jobs where it is needed most – developing new and effective therapies. This session will provide an overview of the SAP HANA Platform for Healthcare and highlight success stories in healthcare and life sciences.