BioPortal.org

A collaborative effort between the International BioComputing Corporation (IBC), a University of Arizona spin-off company, and the Artificial Intelligence Lab at the University of Arizona (AI Lab), BioPortal.org showcases the most recent results of our research and development efforts, and  allows interested users access to system demonstrations.  

The BioPortal™ system is an outgrowth of the ongoing BioPortal research project in the AI Lab.  This project, conducted in collaboration with several state, federal, and academic partners, seeks to develop information technology for cross-jurisdictional infectious disease information sharing, analysis, and visualization.   BioPortal allows for enhanced public health situational awareness  of infectious disease outbreaks and bioterrorism events.

Since 2006, IBC has worked to develop production-quality and commercially-sustainable public-health, biodefense, and hospital informatics products and services based on the BioPortal research developed in the AI Lab.

The Artificial Intelligence Lab at the University of Arizona

AI LabAs part of The University of Arizona's Eller College of Management and top ranked Management Information Systems Department, the Lab is an internationally recognized research group in the areas of digital libraries, intelligent information retrieval, collaborative computing, knowledge management, medical informatics, and security informatics. The Lab is known for its adaptation and development of scalable and practical artificial intelligence, computational linguistics, data mining, text mining, web mining and visualization techniques.

The International BioComputing Corporation

IBCIBC's mission is to help meet the real-world challenges facing the public health and hospital communities through the creation of biosurveillance informatics and analytics systems. Our systems are also intended to increase the ease and availability of messaging and information sharing between public health practicioners and public safety systems, allowing for more effective monitoring and management of infectious disease and biosecurity events.