IDC Perspective: How Data Interoperability and Federated Learning Are Fueling a Precision Medicine Strategy and Transforming Drug Repurposing

IDC Perspective: How Data Interoperability and Federated Learning Are Fueling a Precision Medicine Strategy and Transforming Drug Repurposing

This IDC Perspective discusses the growing importance of federated learning (FL) models in driving collaboration in the life sciences industry. It highlights various examples where FL models have been implemented. It also discusses the complexities and challenges associated with the implementation of FL models and provides guidance to the technology buyer on the implementation of this technology."FL is an area of growing importance for the life sciences industry. It has fueled the growth of digital ecosystems, scaled innovation, and powered a precision medicine strategy. Although it is an evolving area and the industry is still learning, the life sciences industry should leverage the enormous potential that this model has to offer while putting the necessary guardrails in place. It can be leveraged to accelerate drug discovery, drug repurposing, drug repositioning, and drug development. It has the potential to scale innovation and challenge existing models, and it would be folly to ignore its potential," says Dr. Nimita Limaye, research VP, Life Sciences R&D Strategy and Technology, IDC.

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