Title:

Multiscale Digital Twins for Radiation Therapy Dosimetry and Outcomes Prediction

Speaker:

Dr. Greeshma Agasthya

Affiliation:

Georgia Institute of Technology

When:

Thursday, January 16, 2025 at 11:00:00 AM   Add to Calendar

Where:

Boggs Building, Room 3-47

Host:

Chaitanya Deo
cdeo3@gatech.edu

Abstract

Digital twins, virtual representations of physical entities, are increasingly recognized for their potential to revolutionize healthcare. This talk introduces the concept digital twins and their transformative role in radiation therapy dosimetry and outcomes prediction. Multiscale digital twins integrate data from DNA, cellular, tissue, and organ levels to simulate patient-specific responses to radiation therapy, enabling precision medicine approaches. We will also discuss their ability to model complex biological systems, predict therapy outcomes, and optimize treatment plans to improve patient quality of life. By combining advanced computational methods with patient-specific data, multiscale digital twins provide a framework for tailoring radiation doses to individual patients, minimizing side effects while maintaining therapeutic efficacy. This session will highlight their importance in advancing personalized medicine and their potential for clinical implementation. Attendees will gain insights into the current capabilities, challenges, and future directions of multiscale digital twins in radiation therapy.

Biography

Greeshma is an Assistant Professor in the Nuclear & Radiological Engineering & Medical Physics program within the George W. Woodruff School of Mechanical Engineering at Georgia Tech. Greeshma received her Ph.D. and M.S. in Biomedical Engineering from Duke University in 2013 and 2011, respectively. Between 2013 and 2015, she was a postdoctoral researcher at Emory University's Department of Radiology and Imaging Sciences. She received her B.E. in Medical Electronics from Visvesvaraya Technological University in 2005. Before joining GATech, Greeshma was a research scientist at Oak Ridge National Laboratory's Advanced Computing for Health Sciences Section. Her research focuses on developing advanced computational tools for personalized medical imaging, and radiation therapy protocols. She also develops computational frameworks to evaluate novel radiopharmaceutical therapies.

Notes

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