How Federated Learning Can Accelerate the Impact of Real-World Data for the Pharmaceutical Industry
February 22, 2022
Federated learning allows pharmaceutical companies to analyze extensive, diverse datasets without the need to centralize or share sensitive information. This approach facilitates the development of advanced AI models for drug discovery and precision medicine while ensuring compliance with data privacy regulations. By integrating disparate data sources securely, federated learning accelerates research and development processes, leading to more effective and personalized treatments.
For a comprehensive analysis, read the full article on MassBio.