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SAP And MolecularHealth Join Forces To Shape The Future Of Personalized Cancer Treatment

Stocks in this article: SAP

Addressing Challenges at the Heart of Genomics

While selecting from a host of approved drugs and clinical trials poses a real challenge to today's oncologist, SAP HANA can bring a dramatic acceleration to the decision-making process. The MolecularHealth offering, supported by the platform, is planned to be capable of translating genomic sequences of both tumor and normal cells -- more than 3 billion data points -- into potential treatment strategies. Physicians are planned to be able to select a treatment strategy for each patient from hundreds of approved drugs and clinical trials -- a process that today involves significant time and complexity. Genomic sequencing data amounts to approximately 2 terabytes of information per patient. Printed on paper, this amount of data would fill a medium-sized elementary school library.

"The partnership between two exceptional players in their respective fields creates a unique opportunity to enable better decision-making in the healthcare industry," said Friedrich von Bohlen, chairman of the Executive Board, MolecularHealth. "Personalized cancer therapy solutions integrate cutting edge technologies with critical molecular, clinical and drug information to inform decision-making."

The offering from MolecularHealth supported by SAP technology aims to change the way patients are treated and how the industry operates by providing customized treatments. Based on SAP HANA, a combination of mobile and cloud offerings are also planned, along with offerings for other diseases. A network that includes oncologists, researchers, regulatory authorities, life-sciences corporations, sequencing labs and care centers will be able to further change the way people with cancer and other diseases are treated. The underlying technology is intended to enable fast, real-time data analysis to boost operational efficiency and scalability. Additionally, as the cost to sequence a patient's tumor drops, the use of genetic data is quickly becoming actionable in the clinical setting. As a result, healthcare professionals such as oncologists will have more time to focus on their core mission — patient care.

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