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GNS Healthcare Collaborates with NCI in New Approach to Lung Cancer; Supercomputer Analysis to Aid in Matching Targeted Drugs to Patients
Date:8/13/2011

nts. The results from millions of in silico simulations of these models will provide unique insights into the fundamental mechanisms of NSCLC and its response to drug treatments, enabling the development of more effective treatments for NSCLC.

The initial phase of this project is also intended to help GNS and NCI develop standards for the exchange of data to conduct future collaborations in other relevant mouse model systems.  From this starting point, the groups envision the possibility of a combined experimental and computational work flow aimed at rapidly enabling the generation of hypotheses, testing these hypothesis in silico and in vivo, generating new confirmatory data, and rapidly cycling back to additional computational modeling, with the goal of accelerating the conversion of knowledge into new clinical options for cancer patients.  

About REFS(TM)

REFS(TM) is comprised of integrated machine learning algorithms and software that extract "causal" relationships from complex, multi-dimensional data and enable the simulation of billions of "what if?" hypotheses to explore novel unseen conditions and predictions forward in time. This model-centric discovery and simulation approach represents a paradigm shift in data analysis, leapfrogging existing approaches such as high-dimensional pattern matching. REFS(TM) is licensed to GNS Healthcare from Via Science.

About GNS Healthcare, Inc.

GNS Healthcare (www.gnshealthcare.com), a subsidiary of Via Science, is a healthcare IT company that applies machine learning and simulation technology to optimize patient treatment in partnership with health insurance companies, pharmacy benefit managers, and pharmaceutical & biotech companies. GNS Healthcare is the leading "big data" healthcare analytics firm between drug makers and drug buyers, matching treatments to patients to deliver on the promise of "smart" medic
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