TreatmentMAP, an innovative technology developed by Molecular Health, a German biotech company, has won the prestigious SAP Hana Technology Trailblazer Award at Sapphire Now. This award is bestowed upon the company that uses Internet of Things” and big data in its applications, to achieve breakthrough results.
TreatmentMAP has received this award for its use of big data for creating personalized treatments for cancer, through its innovative combination of global biomedical knowledge and data related to individual tumor genetics from patients. The application skillfully combines cutting-edge technology related to genetic analysis with an enormous data warehouse running on SAP HANA.
Certified oncologists are accessing information from over 10 years of centrally stored data at the data warehouse linked with Molecular Health’s before using TreatmentMAP for analyzing genome information.
Markus Schmitt, spokesperson for Molecular Health explains, “We constantly comb the latest relevant publications, review them and supplement our data warehouse,” he adds, “It now contains more than 23 million publications. Hundreds of cancer indicators, 37,000 drugs, more than 90,000 clinical studies and much more other information are curated here.”
Since early 2014, TreatmentMAP is being consistently used by Molecular Health for recommending therapies. With the help of its database, TreatmentMAP is capable of generating upto 100 GB of reliable data for each patient; and then recommends the appropriate treatment in a few hours. The overall goal of TreatmentMAP is to create a robust scale-out model for treating more patients at any given point of time. Kai Sachs, the renowned SAP (Systems Applications and Products) expert said, “Our objective is to run these analyses concurrently for 50, 100, or more patients,”
Approximately 700 megabytes of “pure data” is generated from the DNA of each person; this in turn creates a complicated situation when thousands of patients have to be treated.
The SAP Hana platform is therefore designed to perform calculations and analytics on the data directly; and results in achieving the necessary throughput.