OncoSynth uses a diffusion-based sequential generative model to create synthetic oncology cohorts that preserve causal structures and reduce treatment effect estimation errors by up to 66% at the population level compared to prior methods.
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OncoSynth: Synthetic data generation for treatment effect estimation in oncology
OncoSynth uses a diffusion-based sequential generative model to create synthetic oncology cohorts that preserve causal structures and reduce treatment effect estimation errors by up to 66% at the population level compared to prior methods.