Case Study: Global Biopharma achieves stronger protein binding predictions with Rhino Federated Computing’s Federated AI platform

Generative AI for Drug Design with Rhino Health’s Federated Computing Platform

a global biopharma company faced the challenge of establishing a multi-party research consortium for generative AI in drug design without compromising sensitive intellectual property or engaging in lengthy data-sharing agreements. They partnered with Rhino Federated Computing and used its Federated Computing Platform (FCP) to apply federated learning for secure collaboration with peers and academic institutions.

Rhino Federated Computing implemented its FCP to enable an end-to-end federated learning workflow, allowing the client's data scientists to use familiar tools while ensuring model and data security through strict permissions and encryption. The solution was deployed rapidly, and the use of federated learning generated a strong improvement in binding site predictions for protein design, successfully meeting all of the client's business, scientific, and security requirements.