12/11/09, Kevin Patrick, MD, MS
Mobile technologies for health behavior measurement and intervention
Mobile technologies are transforming the ways in which we measure and improve, at both the individual and population level, behaviors (e.g. physical activity, sedentary behavior, diet, adherence to treatment) and environmental exposures that are important to health. This presentation will provide an overview of several projects currently underway in the Center for Wireless and Population Health at Calit2 in which researchers are examining the use of mobile technologies in health.
12/04/09, Zia Agha, MD, MS
Patient Centered Communication and Health Information Technology – Redirecting the Emphasis to Communication in Health IT
11/20/09, Christian Hinske, MD, MS
Silencing the Neighbors: Functional Importance of Intragenic miRNAs on their Hosts’ Interactome
11/13/09, Christopher Woelk, PhD
Gene expression before HAART initiation predicts HIV-infected individuals at risk of poor CD4+ T cell recovery
Gene expression profiling at the level of transcription has become a powerful tool for the identification of novel biomarkers. Recently, gene expression in peripheral blood mononuclear cells (PBMCs) which circulate throughout the body has been used to diagnose disease states, predict disease outcomes and determine patient response to drug therapy. The methods used to construct gene expression classifiers and studies performed to date using PBMCs will be reviewed with an emphasis on predicting aspects of HIV pathogenesis.
11/06/09, Michael Goldbaum, MD
10/30/09, Sergei Pond, PhD
Molecular Evolution of HIV-1
Because of high mutation and (for some viruses) recombination or re-assortment rates, RNA viruses such HIV, Hepatitis C virus and Influenza A virus exist at the evolutionary speed limit and form measurably evolving populations. Immune systems of hosts, transmission between different hosts, antiviral drugs and the need for efficient replication exert strong selective forces on viral genomes. The wealth of sequence data from RNA viruses available from institutional studies and public databases make it possible to accurately characterize the evolutionary processes shaping the genetic diversity of viral genes. I will present an overview of computational tools and statistical inference techniques developed and used at UCSD over the last 10 years to study RNA viruses, especially HIV.
10/20/09, Robert El-Kareh, MD
Diagnosis Errors: Can Informatics Help?
Reducing diagnostic errors is one of the next major tasks in patient safety efforts. Techniques in informatics will be essential to help clinicians find the relevant information in the expanding ocean of electronic clinical data. These techniques will likely play a vital role in addressing common and important errors in the diagnostic process. This presentation will provide a brief overview of diagnosis errors, followed by the description of specific ways that electronic data can be used to identify and prevent them. Three ongoing projects will be discussed to illustrate these applications.
10/16/09, Lucila Ohno-Machado, MD, PhD
Division of Biomedical Informatics: Research Highlights