Synthetic Data for Pharmaceutical, Cosmetic and Medical Device Studies

Synthetrial generates high-quality synthetic data from pharmaceutical, cosmetic and medical device study datasets. These new records reproduce the relevant characteristics, distributions and statistical relationships of the original data without representing real patients or participants.

Synthetic data do not replace real evidence; they help organizations extract greater value from the data already collected. They can be used to:

• Expand datasets with limited sample sizes.

• Simulate alternative study scenarios and potential outcomes.

• Strengthen the statistical robustness of analyses.

• Identify responder profiles and participant subgroups.

• Explore the performance of endpoints and evaluation criteria.

• Train and validate artificial intelligence models.

• Facilitate data access and collaboration while protecting privacy.

• Support internal decision-making before launching or modifying a study.

The solution can be applied to pharmaceutical clinical trials, cosmetic efficacy and safety studies, and medical device investigations.

It is designed for pharmaceutical, biotechnology, cosmetics and medical device companies, as well as CROs, testing laboratories, hospitals and research centers seeking to reduce uncertainty, optimize their datasets and accelerate product development.