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Indico to Sponsor AI Pharma Innovation Clinical Development Summit
[July 18, 2018]

Indico to Sponsor AI Pharma Innovation Clinical Development Summit


BOSTON, July 18, 2018 (GLOBE NEWSWIRE) -- Indico, a provider of enterprise AI solutions for unstructured content, will be a featured event partner at the 2018 AI Pharma Innovation Clinical Development Summit taking place July 24-26 in Boston at the Revere Hotel. Other event sponsors include Applied Informatics, Enlitic and Medidata. 

The Summit is part of the AI Pharma Innovation Series, a set of conferences dedicated to accelerating the effective adoption and application of AI and machine learning at specific points in the pharmaceutical value chain. This event brings together leading scientists, technology developers, and decsion makers in the pharmaceutical and biotechnology industries to discover how to harness AI to enhance trial design, improve patient selection, identify biomarkers for precision medicine development and optimize pharmacovigilance studies.



Indico is helping Pharma companies leverage AI and machine learning to streamline the preparation of and increase the accuracy and regulatory compliance of clinical research that typically involves large amounts of unstructured, document-based content.  

“The clinical research process is still driven by a huge variety of manual workflows designed to address patient recruitment and retention, pharmacovigilance, and site selection,” said Indico CEO Tom Wilde. “The ability to apply AI to augment and automate document-intensive workflows is a game changer for the industry and Indico is uniquely positioned to solve these challenges.”


About Indico
Indico is an enterprise AI solution for unstructured content. Our focus is on helping to automate tedious back-office tasks, improving the efficiency of labor-intensive document-based workflows, and extracting valuable insights from unstructured content, including text and images. Our breakthrough in solving these challenges is an approach known as transfer learning, which allows us to train machine learning models with orders of magnitude less data than required by traditional content analysis techniques. With Indico, enterprises are now able to benefit from the dramatic advantages of machine learning at a fraction of the time. For more information, visit. https://indico.io/.

Media Contact:
Tim Walsh, for Indico
617.512.1641
[email protected]

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