Division of Biomedical Informatics

We are celebrating the notification that UCSD's first NLM training grant in biomedical informatics will start July 1, 2012.
Stay tuned for details.

Some papers published this month:

Latest article by Staal Vinterbo and Aziz Boxwala: Protecting Count Queries in Study Design.

Latest open access article by Yuan Wu, Xiaoqian Jiang, Jihoon Kim, and Lucila Ohno-Machado: Grid Binary Logistic Regression (GLORE): Sharing Models without Sharing Data.

Article by Adela Grando and Aziz Boxwala: Argumentation logic for the flexible enactment of goal-based medical guidelines.

Open access article by Xiaoqian Jiang, Aziz Boxwala, Robert El-Kareh, Jihoon Kim, and Lucila Ohno-Machado: A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support .

Some news:

iDASH featured in White House Office for Science and Technology Policy announcement for BIG DATA initiative involving NSF, NIH, DoE, DoD, and other federal agencies. See video of this event online.

The next UCSD-JAMIA Journal Club, co-sponsored by DBMI and AMIA, is June 7th, 12:00pm PST. To watch at DBMI, join Lucila and Cindy at noon, room 145E, SDSC.

Click here for more Graduate Program Information.

An Introduction to the Division of Biomedical Informatics at UCSD

Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. We develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies. Our goals:

excel in biomedical informatics research,
collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses,
train the next generation of biomedical informatics specialists, and
interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research.

In close collaboration with the UCSD Medical Center 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.

Featured Projects

National Center for Biomedical Computing iDASH, NIH
Scalable National Network for Effectiveness Research (SCANNER), AHRQ