generated 16M+ synthetic patient records for labor-and-delivery data to train ML forecasting models while preserving privacy

generated 16M+ synthetic patient records for labor-and-delivery data to train ML forecasting models while preserving privacy

The customer is anonymised in Gretel’s own case study — not withheld by us.

Gretel is a synthetic-data generation platform (acquired by NVIDIA) used to create privacy-preserving stand-ins for sensitive genomic and patient data.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.