Integrating Data for Analysis, Anonymization, and Sharing: What the iDASH National Center for Biomedical Computing can do for you

Date: 

Fri May 18, 2012

Host: 

Lucila Ohno-Machado, M.D., Ph.D.
University of California, San Diego

Category: 

Data Modeling and Integration

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ABSTRACT

iDASH (integrating data for analysis, anonymization, and sharing) is the newest National Center for Biomedical Computing funded by the National Institutes of Health in the USA. It focuses on algorithms and tools for sharing data in a privacy-preserving manner. Foundational privacy technology research performed within iDASH is coupled with innovative engineering for collaborative tool development and data-sharing capabilities in a private cloud that is compliant with USA regulations. iDASH’s goal is to provide biomedical and behavioral researchers with access to data, software, and a high-performance computing environment, thus enabling them to generate and test new hypotheses. I will present the work of R&D teams within the center and with external collaborators. The work focuses primarily on data integration, privacy technology, and predictive modeling using genotype and phenotype data. I will also describe the cyberinfrastructure that is available for collaborators around the country.

 

SPEAKER BIOGRAPHY

Lucila Ohno-Machado, MD, PhD is Associate Dean for Informatics and Technology at the School of Medicine, University of California San Diego, founding chief of the Division of Biomedical Informatics and Professor of Medicine. She received her medical degree from the University of Sao Paulo and her doctoral degree in medical information sciences and computer science from Stanford. She leads a group of biomedical informatics faculty with diverse backgrounds in biomedicine, and quantitative sciences. Prior to her current position, she was faculty at Brigham and Women’s Hospital, Harvard Medical School and at the MIT Division of Health Sciences and Technology and former director of its informatics training program. Dr. Ohno-Machado is an elected fellow of the American Institute for Medical and Biological Engineering, the American College of Medical Informatics, and the American Society for Clinical Investigation. She is Editor-In-Chief for the Journal of the American Medical Informatics Association (AMIA) and past chair of the scientific program committee for the AMIA Annual Symposium. She is general chair for the 2nd IEEE Conference on Health Informatics, Imaging, and Systems Biology, which will be held Sept 27-28 in San Diego, California and PI of iDASH.

 

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