“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.
Martin Lindner | Wed Feb 03 00:00:00 CET 2016
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.
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.