Wednesday, February 1, 2017
01:30 PM - 02:15 PM
In this session Gunther will show how using Distributed Rapid Learning enables clinical researchers around the world to define and validate models against large data sets with the goal to provide evidence-based clinical decision support. Gunther will highlight the current problems in leveraging big data to run machine learning algorithms on clinical (oncology) data with the goal to establish evidence based, clinical decision support and how to overcome those problems. The talk is based on Varian's experience of multiple projects which are deployed in seven cancer center hospitals around the world and growing…
The attendees will walk away with:
- A clear understanding of the problems of sharing data in Healthcare
- The conceptual approach of solving the data privacy obstacle for clinical research
- Current approach of applying the research results at the point-of-care for decision support
Gunther Lenz is an influential Software Technology Executive, Software Architect, Program Manager, MBA, published Author, invited speaker and Strategic Technology Visionary with 15+ years of achievement in driving innovative and cost effective software portfolio solutions. He has diverse experience in enterprise, high-growth, and incubation environments within a variety of industries.
Gunther has published two books and numerous novel articles in the area of software engineering and software architecture. He has been elected Program Committee Member at prestigious international conferences and was awarded Microsoft's Most Valuable Professional for Software Architecture (180 worldwide) from 2005 to 2008.