Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences.
In close collaboration with the UCSD Medical Center, the CTSA/CTRI, and with several academic departments and research units, we are developing novel methods to integrate, query, mine, and interpret clinical and experimental data stemming from heterogeneous sources in a secure and privacy-preserving manner.
- National Center for Biomedical Computing iDASH, NIH
- Scalable National Network for Effectiveness Research (SCANNER), AHRQ
- Phenotype Discoverer in dbGaP Studies PhenDisco, NIH
- University of California Research exchange UC-ReX, UCOP
Recently published articles
From the SCANNER team:
- Kim et al. Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders. J Am Med Inform Assoc. 2013 Dec 3. PMID: 24302285
From the iDASH team:
- Li et al. HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads. J Am Med Inform Assoc. 2013 Dec 24. PMID: 24368726
- Jiang et al. Differential-Private Data Publishing Through Component Analysis. Trans Data Priv. 2013;6(1):19-34. PMID: 24409205
See Publications for all articles in PubMed.