Digital Oncology, Big Data, and Treatment Optimization
Digital oncology and big data analytics are revolutionizing cancer care delivery and treatment optimization. This session explores the integration of electronic health records, imaging databases, genomic repositories, and real-world evidence platforms to support data-driven decision-making. Artificial intelligence and machine learning models are improving treatment planning accuracy, predicting toxicity, and personalizing therapy pathways. Cloud-based systems and interoperable platforms enable collaborative research and global knowledge exchange. Experts will address data governance, cybersecurity, and ethical considerations in large-scale oncology data utilization. Predictive analytics and digital twin technologies are emerging as tools for simulating treatment outcomes and refining therapeutic strategies. By harnessing big data responsibly, oncology practices can enhance efficiency, improve patient outcomes, and accelerate innovation. Digital transformation represents a critical step toward smarter, evidence-based radiation oncology worldwide.