What You Should Know:
– GE HealthCare and Mayo Clinic today announced the GE HealthCare-Mayo Clinic Initiative in Radiation Therapy, known as GEMINI-RT, an ambitious new collaboration that aims to transform personalized radiation therapy and cancer care.
– Building on decades of collaboration and the original Strategic Radiology Research Collaboration signed in 2023,GEMINI-RT plans to drive innovation in prediction, planning, automation, workflow and monitoring for radiation oncology.
Mayo Clinic and GE HealthCare Advance Personalized Radiation Therapy Through GEMINI-RT
GEMINI-RT brings together Mayo Clinic’s deep clinical and research capabilities with GE HealthCare’s engineering and imaging leadership to reimagine how radiation therapy is delivered across the entire cancer care continuum. The initiative focuses on integrating advanced imaging, precision therapies, adaptive dosimetry and continuous patient monitoring into a unified workflow—from the earliest stages of detection through diagnosis, treatment and long-term follow-up. The goal is to build a truly personalized radiation therapy model that aligns every decision with each patient’s unique biology, disease trajectory and treatment response.
Radiation therapy remains central to global cancer care, used in more than half of all cancer cases and reaching over 2 million patients annually in the United States. As cancer incidence continues to climb—with an estimated 19.3 million new diagnoses globally in 2022—the demand for more efficient, individualized radiation treatment approaches has never been higher. GEMINI-RT responds to this pressure by pairing Mayo Clinic’s robust clinical datasets and patient outcomes expertise with GE HealthCare’s ability to engineer streamlined, data-driven solutions that enhance precision while reducing workflow burden.
According to Bryan Traughber, M.D., vice chair for innovation in radiation oncology at Mayo Clinic, the program is anchored in the concept of “twinning the patient, personalizing the beam”—a framework that uses rich clinical insights and predictive modeling to simulate patient journeys with unprecedented accuracy. This allows teams to shape radiation delivery to the specific tumor and tissue characteristics of each individual, rather than relying solely on traditional population-based treatment paradigms.
To advance this vision, the collaboration concentrates effort across four interconnected domains. It aims to embed automation through AI-enabled tools that reduce repetitive tasks and accelerate treatment planning; build predictive oncology capabilities that support more informed, individualized therapeutic decisions; explore multi-modal treatment strategies that combine radiation with targeted therapies and technologies such as precision heating; and expand connected-care models using AI, biomarkers and sensor-driven monitoring to detect side effects earlier and support care at home. Together, these pillars position GEMINI-RT as a forward-looking model for making personalized radiation therapy more scalable, accessible and clinically impactful.
