Data-analysis tool Socrates, initially developed by researchers at the Johns Hopkins University Applied Physics Laboratory, ended up licensed by BullFrog AI, Inc., an investor-backed artificial intelligence company that is working closely with the biopharmaceutical industry to find the link between therapies and patients.

This is the seventh technology commercialization through the Department of Homeland Security’s (DHS) Science and Technology Directorate’s (S&T) Transition to Practice (TTP) Program since the start of the current fiscal year.

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The agreement permits BullFrog AI exclusive use of the tool in the field of analytical services for biopharmaceutical therapeutic applications.

Socrates was selected for TTP’s 2016 cohort. It is a flexible, graph analytics tool designed to discover patterns and relationships in largescale and complex datasets. Such datasets can be found in social, financial, energy and biological domains in addition to applications in cybersecurity. Socrates has successfully been used to discover previously unknown patterns in real-world big datasets.

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“This transition is all the more remarkable when considering the exciting new applications that are being made possible. Socrates had already been utilized in government, including within DHS components, to address multiple data-analysis needs, and its use in biotech promises to be equally successful,” said TTP Program Manager Nadia Carlsten. “Our process with TTP emphasizes exploring different models to address different market needs and this has been a key factor in our successful commercialization track record.”

The TTP program complements the S&T process of funding projects through the full research-and-development (R&D) lifecycle and into the commercial marketplace. Each fiscal year, the TTP program identifies the most promising technologies developed at federal laboratories, federally funded research and development centers, and universities for the transition-to-market program.

TTP now has transitioned nearly 20 technologies through commercialization and open-source release since the program launched in 2013.

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