| November 10-11, 2023 | Palo Alto, CA |

Objective: This symposium brings together thought leaders from Stanford and other institutions in the fields of radiation oncology to discuss novel treatment regimens and the artificial intelligence (AI) advancement in imaging, therapy, data science, and clinical practice. The symposium aims to foster insightful discussions and collaborative exchanges in cutting-edge radiation therapy techniques. An optional tour of Stanford Radiation Oncology Clinic is offered to the attendees. 

This symposium will cover the following topics:

• Immunoradiotherapy
• Oligometastases diseases & SRS/SBRT
• Circulating tumor DNA (ctDNA)
• Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)
• FLASH Radiotherapy
• Theragnostics in Oncology
• AI in Radiation Therapy & Medical Physics
• AI for imaging, radiomics, and image guidance
• Foundational models and ChatGPT in Radiation Oncology
• Best Practices with AI (Data, Security, Ethics, etc.)
• Data Efficient Learning
• Interpretability, Casuality, and Trustworthiness

Registration Date Deadlines:

• June 15th - September 26th, 2023: Early Bird Registration
• September 27th, 2023 - November 9th, 2023 - Standard Registration
• November 10th, 2023 - November 11th, 2023 - On-site Registration

Organizers

• Erqi Pollom MD, Associate Professor of Radiation Oncology and, by courtesy, of Neurosurgery, Stanford University, School of Medicine, Department of Radiation Oncology
• Lei Xing PhD, Jacob Haimson & Sarah S. Donaldson Professor of Medical Physics and Director of Medical Physics, Stanford University, School of Medicine, Department of Radiation Oncology
• Max Diehn, MD, PhD, Jack, Lulu, and Sam Willson Professor and Professor of Radiation Oncology
• Quynh Le MD, Katharine Dexter McCormick & Stanley Memorial Professorship & Chair of the Radiation Oncology Department, Stanford University, School of Medicine Radiation Oncology
• Xuejun Gu PhD, Associate Professor, Stanford University, School of Medicine, Department of Radiation Oncology