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ESMO 2025 | AI-generated synthetic real-world data to accelerate oncology research

Eddy Saad, MD, Beth Israel Deaconess Medical Center, Boston, MA, comments on the potential of artificial intelligence (AI)-generated synthetic real-world data (sRWD) to accelerate progress in oncology research. sRWD will enable the development of new targets and biomarkers in a real-world setting while maintaining patient privacy, and having a large amount of easily accessible data can facilitate faster progress in various areas of research. This interview took place at the European Society for Medical Oncology (ESMO) 2025 Congress in Berlin, Germany.

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Transcript

So this is sort of like again what we talked about by having this amount of data that is available and that is easily accessible any type of real-world research can be done very easily and this is where we think that we will we would allow a faster pace of progress in terms of developing new targets, in terms of assessing new biomarkers, once again in a real-world setting, without compromising patients’ privacy...

So this is sort of like again what we talked about by having this amount of data that is available and that is easily accessible any type of real-world research can be done very easily and this is where we think that we will we would allow a faster pace of progress in terms of developing new targets, in terms of assessing new biomarkers, once again in a real-world setting, without compromising patients’ privacy.

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