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1082054

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

Published: | IDC | 8 Pages | Delivery time: 1-2 business days

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IDC Perspective: How Data Interoperability and Federated Learning Are Fueling a Precision Medicine Strategy and Transforming Drug Repurposing
Published: June 3, 2022
IDC
Content info: 8 Pages
Delivery time: 1-2 business days
  • Description
  • Table of Contents

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.

Product Code: US48584922

Executive Snapshot

Situation Overview

  • The Growing Importance of Federated Learning Models
    • How Europe Is Focusing on FL and Real-World Evidence to Accelerate Innovation
    • Examples of How FL Has Been Applied in the Life Sciences Industry
    • Challenges Associated with the Implementation of FL Models

Advice for the Technology Buyer

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  • Synopsis