Measuring the efficacy of oncology interventions is critical to matching patients with the right intervention. Oncology data, and related real-world evidence, have the potential to inform clinical research, trial design, regulatory decisions, safety assessments, treatment pathways and more. Unfortunately, given the highly specialized nature of oncology care, disease criteria and endpoints typically are not available in structured formats and remain locked in data silos, making them hard to aggregate and analyze
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