CAMBRIDGE, Mass., BOSTON and NEW YORK, Nov. 8, 2012 /PRNewswire/ -- GNS Healthcare, Inc. (GNS), the leading healthcare data analytics company focused on enabling personalized medicine to improve human health, today announced that it has entered into a collaboration with Dana-Farber Cancer Institute (Dana-Farber) and Mount Sinai School of Medicine (Mount Sinai) to create a data-driven computer model of multiple myeloma, the second most common blood cancer in the U.S. that constitutes approximately one percent of all cancers. Created using GNS's supercomputer-driven REFS™ (Reverse Engineering and Forward Simulation) platform, the models will be used to help researchers discover novel therapies for the disease and to help determine the best existing treatments for patients.
"We have made encouraging progress at Dana-Farber Cancer Institute in using gene profiling, proteomic and signaling studies in tumor cell samples treated with existing and novel medicines to get a better understanding of myeloma pathogenesis and to develop novel targeted therapies," said Dr. Ken Anderson, Director, Jerome Lipper Multiple Myeloma Center and LeBow Institute for Myeloma Therapeutics at Dana-Farber and Kraft Family Professor of Medicine at Dana-Farber and Harvard Medical School.
"Because of this progress, our team is excited about deploying a powerful, supercomputer driven approach using our multi-layered genomic data to develop computer models to directly define the integrated underlying circuitry of myeloma. We look forward to using these models to identify, create, and implement better treatments for individual multiple myeloma patients," said Dr. Nikhil Munshi, Associate Director, Jerome Lipper Multiple Myeloma Center and LeBow Institute for Myeloma Therapeutics at Dana-Farber and Associate Professor of Medicine, Harvard Medical School
|SOURCE GNS Healthcare|
Copyright©2012 PR Newswire.
All rights reserved