Integrative Biomedical Imaging Informatics
Transforming imaging data into knowledge to improve health.
Pioneering, translating and disseminating methods in the information sciences that integrate imaging, clinical and molecular data to understand biology and to improve clinical care.
Recently Awarded Grants
Data and Terminology Standards in Imaging Development and Evaluation
(FDA 1R24FD004757, 8/1/2013)
Tools for Linking and Mining Image and Genomic Data in Non-Small Cell Lung Cancer
co-PIs: Sandy Napel, Sylvia Plevritis
(NIH: 1R01CA16025101, 09/2011)
Clinically Relevant Regulatory Networks in the Lung Tumor Microenvironment
PI: Sylvia Plevritis
(NIH: 1U01CA154960-01, 09/2011)
Recent Awards for IBIIS faculty and students:
- Daniel Rubin's "A Shared Computational
Approach to Multi-institutional Mining of Big Data for Rapid Learning in Cancer" was selected for the 2014 Big Data for Human Health Seed Grant in the inaugural Stanford University and Oxford University joint seed program.
- Sylvia Plevritis, was elected to the American Institute for Medical and Biological Engineering (AIMBE) 2014 College of Fellows
- Daniel Rubin awarded new CDER grant: Data and Terminology Standards in Imaging Development and Evaluation