“Data is the Only Way to Meet the Future Needs of Our Patients”

Machine learning makes it possible to use high-volume data for routine clinical care and personalized medical care.

Author: Martin Lindner

Professor Fasching talked with Medical Solutions about the role of genomes in breast cancer research and the potential of big data for personalized medical care.

Peter Fasching, a gynecologist at Erlangen University Hospital in Germany, works closely with international teams to research the role that genomes play in breast cancer. Read about the challenge of transferring this knowledge to clinical practice, and the potential of smart data for personalized medicine.

Date: 2016-02-03

Medical Solutions Online

The statements by Siemens’ customers described herein are based on results that were achieved in the customer's unique setting. Since there is no "typical" hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.

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