Standard radiation therapy often follows a one-size-fits-all approach, despite patients responding differently to treatment. Recent advancements in artificial intelligence (AI), biomarker development, and immune-radiation therapy are paving the way toward personalized radiation therapy (RT). This live symposium will highlight the latest developments in personalized RT, including current and emerging AI-driven strategies and the integration of diverse biomarkers derived from imaging, blood, genomics, the tumor microenvironment, and immune response. The didactic sessions and panel discussions are designed to engage a broad audience, including radiation oncologists, medical physicists, dosimetrists, radiation therapists, trainees, and allied health professionals interested in these transformative technologies. This symposium aims to foster collaboration and innovation, addressing both the current state and the future potential of personalized RT in clinical practice.