Research Initiative "HANA Oncolyzer"
This research initiative "HANA Oncolyzer" is an interdisciplinary cooperation between the Charité — Universitätsmedizin Berlin, the SAP Innovation Center in Potsdam lead by Cafer Tosun, and the Chair of
Prof. Hasso Plattner at the Hasso Plattner Institute. The aim of the cooperation is to develop innovations, support the adoption of personalized medicine, and to enable a faster and improved way in treatment of patients.
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HANA Oncolyzer — Innovation made in Potsdam
Charité Medicine, Charité IT, SAP's Innovation Center in Potsdam, and our EPIC chair at the Hasso Plattner Institute (HPI) combine their competences in the research initiative "
HANA Oncolyzer" to improve the IT-aided treatment of patients suffering from cancer diseases. The improved knowledge about tumor physiognomy and about active medical ingredients will successfully support cancer treatments. As a result, cancer therapies will be more accurately adjusted for individual patients and cancer forms to improve healing noticeable.
"Build on the newest in-memory technology the HANA Oncolyzer is able to analyze even huge amounts of medical data in shortest time", says Dr. Alexander Zeier. Research institutes and university hospital support from HANA Oncolyzer by building the basis for a flexible exchange of information about efficiency of medicines and treatments.
The organizational changes in the healthcare sector require increasing support by proper IT techniques and procedures. Data needs to be available in real-time at any location — even worldwide — on mobile devices to support efforts of researchers and medical doctors. The immense increase of knowledge about cancer in the past centuries requires the detailed analysis of biological and genetic mutations of cancer cells to make only these harmful cells target for future treatments and to reduce side effects. Still a few years ago, common and unspecific therapies were applied to heal cancer. Meanwhile, treatments for specific gen mutations are possible to support personalized medicine.
In near future, the tumor's DNA of all cancer patients needs to be analyzed to support specific patient therapies. These analyses result in medical data in amount of multiple terabytes. "These data need to be analyzed regarding mutations and anomalies in real-time", says Matthias Steinbrecher at SAP's Innovation Center in Potsdam. As one of the aims the research prototype HANA Oncolyzer was developed at our chair in cooperation with SAP's Innovation Center in Potsdam. "The 'heart' of our development builds the in-memory technology that supports the parallel analysis of million of data within seconds in main memory", says
Matthieu Schapranow, Ph.D. cand. at the HPI.
| Matthieu-P. Schapranow, M.Sc. |
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| Phone: +49 (331) 5509 -1331 |
| E-mail: matthieu.schapranow (at) hpi.uni-potsdam.de |
| Room: V-0.01 |
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Hint: This site can also be reached via the short URL: http://tinyurl.com/oncolyzer.
The organizational changes in the healthcare sector require increasing support by proper IT techniques and procedures. Data needs to be available in real-time at any location — even worldwide — on mobile devices to support efforts of researchers and medical doctors. The immense increase of knowledge about cancer in the past centuries requires the detailed analysis of biological and genetic mutations of cancer cells to make only these harmful cells target for future treatments and to reduce side effects. Still a few years ago, common and unspecific therapies were applied to heal cancer. Meanwhile, treatments for specific gen mutations are possible to support personalized medicine.
In near future, the tumor's DNA of all cancer patients needs to be analyzed to support specific patient therapies. These analyses result in medical data in amount of multiple terabytes. "These data need to be analyzed regarding mutations and anomalies in real-time", says Matthias Steinbrecher at SAP's Innovation Center in Potsdam. As one of the aims the research prototype HANA Oncolyzer was developed at our chair in cooperation with SAP's Innovation Center in Potsdam. "The 'heart' of our development builds the in-memory technology that supports the parallel analysis of million of data within seconds in main memory", says Matthieu Schapranow, Ph.D. cand. at the HPI.