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We wanted to be certain and very accurate around what we produce in these documents that are submitted to health authorities. We want to deliver a draft through Artificial Intelligence that is 100% reliable and needs no further editing by human medical writers. That is what we have achieved with the Yseop collaboration.

Machine learning is a part of every aspect of Lilly’s future, from drug discovery to clinical trials to manufacturing to patient support. Yseop brings a novel approach to regulatory submissions and other reporting, and we see opportunities to bring Yseop’s technology to teams throughout the enterprise.

Yseop enables us to focus our discussions on action plans for the branch. Now we spend more time talking about sales performance rather than analyzing figures. It saves time for myself and my team.

The Yseop engine produces this commentary in less than a second. We are just scratching the surface with this technology.

With Yseop, we give clear explanations to our customers. The customer understands the decision and I have more time to focus on other opportunities. It's a real innovation!

Resources

At the forefront of innovations and developments in AI and NLG.

Navigating the Maturity of Generative AI: Yseop’s Approach to Continuous Improvement

July 11, 2024
Blog

Gartner’s analysis indicates a significant shift in generative AI, moving from rapid growth to stabilization and incremental improvements. At Yseop, we embrace this evolution, continuously enhancing our platform to deliver reliable and efficient AI solutions. Learn how we capitalize on the current phase to drive the future of AI-driven content generation.

Cognizant and Yseop announce plan to partner to scale medical writing through Generative AI

July 11, 2024
News & Press Releases

Cognizant’s AI and industry expertise, combined with Yseop’s generative AI platform, aims to improve the productivity of scientific writers across the life sciences value chain

The Transformative Power of AI in Late-Stage Drug Development

July 3, 2024
Blog

In the ever-evolving pharmaceutical landscape, the integration of artificial intelligence (AI) in clinical trials is a game-changer, enhancing efficiency and effectiveness. By exploring the advantages of AI in late-stage drug development, we reveal how AI optimizes clinical trials, streamlines data collection, and improves patient recruitment and retention. Dive in to discover how AI can transform your drug development process and position your organization at the forefront of innovation.