Ginkgo Datapoints partnered with Lilly TuneLab to link AI models to lab data.
The announcement targets the gap between AI models and real laboratory data in drug discovery. Ginkgo Datapoints will supply biological data generation services to TuneLab, Lilly's AI drug discovery platform. The announcement gives no figures.
Ginkgo Bioworks is a synthetic biology platform company that sells lab data generation and biological AI models, including Datapoints and a Model API built with Google Cloud.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Ginkgo Bioworks on its own site — read the original case study on s28.q4cdn.com ↗
Note: Thin PDF announcement.
Related use cases
- 01Ginkgo launched a protein language model and Model API with Google Cloud.
- 02How Bioventus evolved their commercial strategy with real world data and intelligence
- 03Clarivate and CLEO diagnostics are making early detection of ovarian cancer a reality
- 04Making informed investment decisions (Attracting breakthrough innovations from academic research) - SPRIND case study
- 05Gedeon Richter — Case study | Clarivate Regulatory Intelligence Tracking Application
- 06Integrating patient centricity into the Menarini mature brand strategy for commercial excellence