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ESMO 2025 | AI-generated synthetic real-world data to evaluate cancer treatment outcomes

Eddy Saad, MD, Beth Israel Deaconess Medical Center, Boston, MA, discusses the potential of an artificial intelligence (AI)-generated synthetic real-world data (sRWD) to provide real-world data on cancer treatment outcomes, enabling comparisons between standard of care and new regimens. This platform could facilitate the evaluation of new treatments and potentially reduce the resources required for clinical trials by providing a modern control arm. This interview took place at the European Society for Medical Oncology (ESMO) 2025 Congress in Berlin, Germany.

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Transcript

This is a great question, and this is really something that we’re excited about. Again, our vision is for us to have this platform that anyone could access. And when on this platform, you can basically select any cancer type, any regimen, and see how well these patients are doing in the real world. Then you can imagine having a new regimen and trying to compare the efficacy of that regimen to what we’re seeing for the standard of care in the real world...

This is a great question, and this is really something that we’re excited about. Again, our vision is for us to have this platform that anyone could access. And when on this platform, you can basically select any cancer type, any regimen, and see how well these patients are doing in the real world. Then you can imagine having a new regimen and trying to compare the efficacy of that regimen to what we’re seeing for the standard of care in the real world. This would compare to a modern clinical trial control arm that we can use and that could potentially help us alleviate some of the resources that are needed for clinical trials.

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