Oral Presentation 1 (IMAG-AND Futures)

1:20-1:40 pm               “Integrating multiple scales and imaging modalities to predict tumor response for individual patients and generate personalized therapy regimens

Angela Jarrett, U. Texas

Angela Jarrett (photo)BIO: Thanks to the Peter O’Donnell, Jr. Postdoctoral Fellowship, Angela came to the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin in the summer of 2016. Since then she has been working in Dr. Thomas Yankeelov's Oncological Modeling Group in the Center for Computational Oncology and the Livestrong Cancer Institutes. She received bachelor's and master's degrees in Mathematics at Florida State University, and she completed her Ph.D., specializing in Biomedical Mathematics, in 2016 at FSU. Her graduate work consisted of developing uncertainty and sensitivity analysis methods in conjunction with mathematical modeling of persistent and resistant infections with respect to host responses and treatment, specifically for MRSA and HIV. Her research at UT focuses on developing a clinically-relevant tumor growth model for breast cancer that can capture tumor response to neoadjuvant therapies using patient-specific quantitative imaging data. Additionally, she has developed mathematical models at the in vitro and in vivo scales for HER2+ breast cancer that include the effects of cytotoxic and anti-HER2 targeted treatment as well as immune response dynamics. The aim of these projects is to leverage tumor cell response data to individual drugs to not only improve the overall predictive ability of the clinical model but also to explore alternative therapeutic strategies. 

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