Online adaptive proton therapy is highly sensitive to interfractional anatomical variation, yet conventional online replanning workflows remain time‑intensive and limit routine clinical implementation, particularly for hypofractionated prostate stereotactic b...
Author profile
Greeshma A. Agasthya, PhD
Georgia Institute of Technology
From Reactive to Predictive: A Digital Twin Framework for Online Proton Prostate SBRT Adaptation
Proffered Program · Therapy Physics
Divergent Kinetics: Physiologically Based Versus Population Pharmacokinetic Dosimetry for 177lu-PSMA In Xcat Phantom Virtual Patients
To compare the predictions of two pharmacokinetic models for 177Lu-PSMA radiopharmaceutical therapy on a virtual patient cohort and evaluate how their differences in predicted time-activity curves propagate to the organ-at-risk self-dose estimations across an...
Proffered Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine
Joint Therapy-Imaging Digital Twins in Medicine: Transforming Modeling, Personalization, and Prediction
Digital twins—computational replicas of patients, organs, or biological systems—are redefining how we model disease, predict treatment response, and personalize medical care. By integrating imaging, biological, and clinical data with physics-based and AI-driv...
Invited Program · TH- Radiobiology(RBio)/Biology(Bio)
Digital Twins in Practice: Applications in Radiation Therapy, Imaging Response Prediction, and Radiopharmaceutical Dosimetry
Diagnostic and Interventional Radiology Physics
Invited Program · Diagnostic and Interventional Radiology Physics