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Pallavi Tiwari, PhD

Assistant Professor, Biomedical Engineering 216.368.0177 (o)

Member, Molecular Oncology Program


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My research interests lie in pattern recognition and medical image analysis for automated computerized diagnostic and prognostic solutions. Over the last few years, I have been working on developing quantitative tools for integrating imaging and non-imaging information from different sources of diagnostic information for identification,  grading, and treatment response evaluation for prostate cancer. My most recent work focuses on novel computerized decision support methods for evaluating disease presence and treatment response post radiation and focal ablative therapy  via in vivo imaging data for neurological conditions such as brain tumors, epilepsy, and cancer pain. I am also a recipient of Coulter Translational award on our work on differentiating tumor confounders from recurrent brain tumors using multi-parametric MRI.