(Washington, DC – March 27, 2013)  Galileo Analytics’ Galileo Cosmos™ was featured today in a press briefing by the American Society of Clinical Oncology (ASCO) about its CancerLinQ prototype learning health system.

With CancerLinQ, ASCO is developing a knowledge-generating computer network that will collect and analyze cancer care data from millions of patient visits, together with expert guidelines and other evidence, to generate real-time, personalized guidance and quality feedback for physicians.

Under an agreement announced in November, 2012, Galileo Analytics’ Galileo Cosmos™ was selected to serve as an analytic component of the CancerLinQ™ prototype, providing real-time visual data exploration and advanced analytics of de-identified data .  The ability to visually explore complex data and perform sophisticated analytics in real-time is at the essence of CancerLinQ.

At the briefing, ASCO President-Elect Cliff Hudis, MD, walked a packed room of media, policy experts and medical researchers through the CancerLinQ prototype, showing how the Galileo Cosmos™ visual data exploration and real-time analytics platform would be used to inform the care of a sample breast cancer patient.

ASCO President-Elect Cliff Hudis, MD, demonstrates Galileo Cosmos at CancerLinQ briefing at the National Press Club on March 27, 2013

Hudis showed how a future oncologist, using Galileo Cosmos™ within CancerLinQ, would be able to analyze the electronic medical records of millions of cancer patients, find patients with similar characteristics to her patients, see how those cancer patients fared under different therapy regimens, then use that knowledge, along with other components of CancerLinQ, to inform the care of her patient – all within a matter of minutes from the physician’s desktop computer.

The full briefing can be viewed below:

For more information about CancerLinQ go to www.asco.org/cancerlinq.

For more information on the ASCO CancerLinQ prototype briefing go to www.asco.org/press-center.

Simon Fitall

About Simon Fitall

Simon is a knowledge engineer with 30 years experience in market research, data analytics and business intelligence within the pharmaceutical, biotechnology and medical device industries. With multiple patents in the field of advanced medical data analysis, Simon is an expert in data analysis with more than 20 years experience in working with, analyzing and creating models with patient data.

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