Dr. Yong Chen Presents Causal AI framework for Drug Development at the ASA STATBOLIC 2026 conference
Dr. Yong Chen presented the XYZ framework, a simple “three variable” way to think about causal AI in drug development where X is the treatment, Y is the outcome, and Z is the population. By holding any two pieces fixed and solving for the third, the same evidence engine can support three core goals: indication extension, drug repurposing, and drug identification.
In the StatBolic 2026 talk, he showed how this simple map can unify what are often treated as separate workflows. This unified approach enhances clinical evidence generation, optimizing trial designs and advancing drug repurposing for broader, reliable healthcare impact, while keeping reliability and clinical relevance front and center.
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