Case Study: Global Biopharma Company advances AI drug discovery with Rhino Federated Computing

A Rhino Federated Computing Case Study

Preview of the Global Biopharma Company Case Study

Global biopharma uses OCT Federated Dataset in drug discovery research

a global biopharma company wanted to train an AI model for drug discovery using OCT studies and patient records without moving sensitive data, and sought help from Rhino Federated Computing to access a diverse, real-world dataset.

Rhino Federated Computing utilized its Federated Computing Platform (FCP) to provide access to a harmonized, global dataset from multiple hospital partners. Using the FCP's Secure Access feature, the client was also able to have a third party annotate images without the data ever leaving the hospital firewalls, enabling secure and collaborative AI development.


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