Synthetic Data and Pharma – Reuters Events Pharma Clinical 2022

Synthetic data is algorithmically generated and used to fill the gaps in datasets for artificial intelligence (AI) training and real-world evidence (RWE) applications that may be difficult or impossible to generate. In a new report produced in collaboration with Reuters Events Pharma Clinical 2022, Andrew Stone breaks down the opportunities that synthetic data presents for clinical trial planning and RWE studies without putting patient data at risk.

According to Stone, “Synthetic data’s potential to mimic the characteristics of a real dataset, but with private or sensitive information removed, makes it a good alternative to handling large but sensitive samples of real individual-level patient data. Minimising or even avoiding altogether such concerns and compliance constraints could open up new avenues of study. In this sense it differs from de-identified data as it is created from scratch rather than being based on individual patient records and so cannot be de-anonymised.”

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(Source: Reuters Events, March, 24^th, 2022)