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In Silico Trial Simulation with Artificial Intelligence-Generated Synthetic Control Cohorts Reproduces Results of a Randomized Controlled Trial in Acute Myeloid Leukemia

2026-07-16

Abstract excerpt

Rising costs, slow accrual and molecular sub-stratification of cancers necessitate novel clinical trial designs. We demonstrate that artificial intelligence-generated synthetic patients can replace real controls to reproduce results of the SORAML trial. Using external multimodal data from 1,377 acute myeloid leukemia (AML) patients from previous trials and a real-world registry, we fine-tuned a tabular foundation...

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Literature Corpus work
6889c431-acef-55bf-b7fa-88bbe0c788ce
DOI
10.64898/2026.07.15.26358123
Open publication

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In Silico Trial Simulation with Artificial Intelligence-Generated Synthetic Control Cohorts Reproduces Results of a Randomized Controlled Trial in Acute Myeloid LeukemiaDOI 10.64898/2026.07.15.26358123
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