Theranostics Digital Twins: A Path to Personalized Medicine
Data Science Seminar Series
January 14, 2026 | 11:00 AM – 12:00 PM
Online
Learn how medical imaging and computational modeling are transforming precision medicine at the upcoming Data Science Seminar Series event.
On January 14, the Data Science Seminar Series is tackling an intersection of two critical data science concepts in cancer research: theranostics and digital twins. By combining computational and clinical approaches, you can develop practical precision medicine applications that personalize treatment for each patient.
During the event, Dr. Emilie Roncali, an associate professor in the Department of Biomedical Engineering at UC Davis, will give you an overview of how these concepts work in practice and answer questions such as:
- How do radioactive compound pairs help imaging predict therapy outcomes?
- How to develop computational methods to predict treatment from images?
- What high-precision imaging technology advances are happening?
- How are these concepts applied in liver cancer, prostate cancer, and metastatic cancer?
Whether you're a researcher curious about medical imaging applications or a data scientist exploring cancer use cases, join this session to learn practical insights into these emerging precision medicine tools.
Register today to secure your spot!
About the Speaker
Emilie Roncali, Ph.D.
Dr. Emilie Roncali is an associate professor in the Department of Biomedical Engineering with a courtesy appointment in Radiology at UC Davis. Her research focuses on medical imaging and cancer radiation therapy, with emphasis on personalized dosimetry for liver cancer and prostate cancer internal radiation therapy. Dr. Roncali chairs a working group for the National Cancer Institute (NCI) and serves on the Society of Nuclear Medicine and Molecular Imaging AI taskforce.
About the Data Science Seminar Series
CBIIT’s Data Science Seminar Series is dedicating its 2026 events to spotlighting the use of AI in cancer research and care. Brought to you by CBIIT and NCI's Division of Cancer Treatment and Diagnosis AI working group, the upcoming webinars will explore a variety of questions, such as the following:
- How can AI be used for diagnosis, treatment, or omics research?
- What are the related laws and ethical considerations for AI?
- How can we empower an AI-ready cancer research community through workforce development, collaborations, and funding?
To view upcoming speakers or recordings of past presentations, visit the past events.