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Pallavi Tiwari – Artificial Intelligence and Computational Imaging: Opportunities for Precision Medicine (AI PHI Affinity Group)
November 3, 2023 @ 9:00 am - 10:00 amFree
Thank you for coming!
The recording for this meeting is available below:
Artificial Intelligence and Computational Imaging: Opportunities for Precision Medicine
In this talk, Dr. Tiwari will focus on her lab’s recent efforts in developing machine learning techniques to capture insights into the underlying tumor biology as observed across non-invasive imaging, histopathology, and omics data. She will focus on applications of this work for predicting disease outcome, recurrence, progression and response to therapy specifically in the context of brain tumors. She will also discuss current efforts in developing new image-based features for post-treatment evaluation and predicting response to chemo-radiation treatment. Dr. Tiwari will conclude her talk with a discussion of some of the translational aspects of her work from a clinical perspective.
Presented by Pallavi Tiwari
Dr. Pallavi Tiwari is an Associate Professor in the Departments of Radiology, Biomedical Engineering, and Medical Physics; and serves as the Co-Director of Imaging and Radiation Science at the Carbone Cancer Center at the University of Wisconsin, Madison. Dr. Tiwari’s research interests lie in pattern recognition, data mining, and image analysis for automated computerized diagnostic, prognostic, and treatment evaluation solutions using radiologic imaging in oncology and neurological disorders. Her research has so far evolved into over 60 peer-reviewed publications, 50 peer- reviewed abstracts, and 13 patents (8 issued, 5 pending). Dr. Tiwari has been a recipient of several scientific awards, most notably being named as one of 100 women achievers by Government of India for making a positive impact in the field of Science and Innovation. In 2018, she was selected as one of Crain’s Business Cleveland Forty under 40. She has also been awarded the J&J Women in STEM (WiSTEM2D) scholar award in Technology, and the Honorary Early Career Achievement Award through the Society for Imaging informatics in Medicine. Most recently, Dr. Tiwari was inducted as a senior member of the National Academy of Inventors. Dr. Tiwari’s research is funded through the National Cancer Institute, Veterans Affairs, Department of Defense, and various foundation and state grants.
Artificial Intelligence in Cancer Research – AI PHI Affinity Group
(First Friday of each month)
This group was formed to discuss the current trends and applications of artificial intelligence in cancer research and clinical practice. The group brings together AI researchers in a variety of fields (computer science, engineering, nutrition, epidemiology radiology, etc) with clinicians and advocates. Students, trainees and faculty with any or no background in AI are encouraged to attend. The goal is to foster collaborative interactions to solve problems in cancer that were thought to be unsolvable a decade ago before the broad use of deep learning and AI in medicine.