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The Institute for Translational Sciences (ITS) aims to train a new generation of clinical and translational researchers, engage stakeholders and communities in research, address barriers to clinical and translational research, and advance translational research through team-based approaches. The ITS, established in 2007, is the academic home of UTMB’s Clinical Translational Sciences Award (CTSA), funded by the National Institutes of Health’s National Center for Advancing Translational Sciences (NCATS). CTSA institutions work together to speed the translation of research discoveries into improved health. 

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The ITS is the academic home for translational research at UTMB. Translational research is the application and refinement of a discovery or practice intervention into clinical practice to improve the health of our community.
We develop, evaluate and disseminate best practices for novel training and leadership programs in
translational science.

 

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  • Biostatistics, Epidemiology and Research Design (BERD) Pilot Grants

    July 16, 2020, 旋风加速器xf9. im by Lisa Velasquez
    Funds are available to support innovative pilot projects in the areas of biostatistics, epidemiology, and bioinformatics.

  • Rapid Response Funding Available for Clinical & Translational Pilot Awards

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    Funds are available to support innovative, investigator-initiated studies that have potential to develop into clinical trials related to either Precision Medicine or COVID-19.

  • UTMB Health Introduces TriNetX

    March 23, 2020, 08:06 AM by Gilbert Mireles
    TriNetX at UTMB Health provides researchers the ability to explore a limited de-identified set of patient data. This tool is most useful for identification of patient cohorts in preparation for research.

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  • HPTM 6284: Introduction to Big Data Visual Analytics

    免费网络节点加速器 - , 2020
    Through a required project, students will have the opportunity to integrate their theoretical and practical knowledge of big data visual analytics to analyze, comprehend, and present complex patterns in a large biomedical dataset.
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