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Modernizing Evidence in Oncology: Real World Data and Artificial Intelligence in Clinical Drug Development
Session Chair(s)

Representative Invited
FDA, United States
Regulatory, industry, and academic organizations discuss modern approaches to clinical drug development by describing novel methods and use cases integrating real-world data and AI to generate real-world evidence, with focus on oncology.
Learning Objective : Discuss global regulatory guidance and frameworks supporting innovative designs using real-world data as well as approaches to inclusion of artificial intelligence (AI); Describe innovative approaches and statistical methods for use of hybrid trial designs and examples of AI informed studies for clinical decision making; Discuss areas of current need and promote community collaboration.
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