“From Connected Multimodal Cancer Data to Predictive Intelligence”

The 26th Ci4CC Summit will examine how academic cancer centers are transforming connected, trusted, and research-ready multimodal data into predictive intelligence that improves cancer prevention, diagnosis, treatment, and survivorship.

The program follows the journey of cancer data from foundational infrastructure and collaborative resources to evidence generation, AI-enabled discovery, precision treatment, and real-world clinical impact. It will highlight the convergence of artificial intelligence, real-world evidence, genomics, digital pathology, imaging informatics, interoperable data platforms, and cross-institutional research models. Together, these capabilities are creating continuously learning cancer ecosystems that accelerate discovery, modernize clinical trials, strengthen precision oncology, advance therapeutic innovation, and improve patient outcomes at scale.

Sessions

• Translating Data to into Evidence and Impact: From Real-World Data to Real-World Impact | RWD from Discovery to Application
• Scaling Cancer AI across Institutions: 
• AI-Enabled Pathology and Imaging Informatics
• Spatial Genomics and Germline Intelligence
• Shared Resources as Engines of Collaborative Discovery
• AI-Accelerated Therapeutic and Biomarker Discovery