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Pattern computer launches pattern discovery technology for dataset exploration

Press releases may be edited for formatting or style | May 24, 2018 Health IT
SAN FRANCISCO--(BUSINESS WIRE)--Pattern Computer, Inc., which has developed a proprietary pattern discovery system to uncover valuable insights from vast datasets, today announced the world’s first pattern computer system and the public launch of its platform technology after being in stealth mode for the past two years. Pattern discovery is an emerging category – an extension of the machine learning field – that distinguishes itself by using both supervised and unsupervised learning. While pattern recognition solutions are widely available, pattern discovery uniquely identifies previously hidden, higher-order correlations in vast datasets without instructions as to where or what to look for. Pattern Computer’s applications are wide-sweeping, with the promise and opportunity for tackling some of the world’s most complex problems and the largest datasets; in line with that mission, the company’s first path to market is biomedicine.

“For companies with complex data, there has never been an accessible and affordable way to discover new patterns,” said Mark Anderson, CEO and founder of Pattern Computer. “Previously, we’ve been resigned to making decisions based on information programmed by humans, recognizing patterns and looking for solutions that we already suspected. To overcome this, we’ve built a Pattern Discovery Engine which serves science as a 'hypothesis generator.' Our initial work in breast cancer prognosis and our collaboration with Dr. Larry Smarr on gut microbiome analysis prove that our system indeed delivers unknown pattern discoveries, and will advance the industry standard in multiple domains.”

The ubiquity of data and the developments in artificial intelligence (AI) and machine learning have raised the stakes for producing noteworthy insights. Pattern Computer takes a big step forward by offering customers dramatic insights into multi-dimensional data to discover high-order correlations, unveiling previously hidden information in a category or market. In essence, researchers and analysts will be given a vastly improved microscope for identifying and testing new and promising hypotheses on the way to solving persistent medical and scientific problems.
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As part of an unveil event in San Francisco, several of the world’s foremost experts in their fields offered their insights and optimism for the power of pattern discovery:

Dr. James (Ben) Brown Ph.D., Department Head, Molecular Ecosystems Biology, Lawrence Berkeley National Laboratory and Professor and Chair of Environmental Bioinformatics, University of Birmingham, UK shared information about the magnitude of the complexity that Pattern Computer has tackled, and presented hypotheses for radically improving breast cancer prognosis and determining possible curative treatment paths. Dr. Brown has been helping Pattern Computer set up its biomed practice.

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