The pharmaceutical industry stands at a crossroads, facing escalating challenges in drug R&D efficiency and success rates. Despite the buzz around artificial intelligence (AI), skepticism remains. This webinar aims to cut through the noise, offering a deep dive into how AI — when properly integrated with wet lab data and experience — can truly transform drug discovery processes.
Our session on May 30 at 10:00 a.m. EDT / 3:00 p.m. BST, led by Thibault Géoui, head of science analytics at Charles River, will explore the tangible benefits of deploying AI within a purpose-built data infrastructure, combined with experimental confirmation. Thibault, a recognized thought leader in the field, will share insights on deploying Logica’s innovative success-sharing model that aligns AI’s predictive power with real-world lab validations. This approach not only accelerates the design-make-test-analyze (DMTA) cycle, but also introduces a collaborative model that significantly reduces financial and operational risks in drug discovery.
Attendees will learn how the fusion of data science and empirical research is setting new industry standards, improving timelines, and adopting a judicious approach to animal research. By emphasizing a comprehensive data infrastructure and rapid laboratory testing, we facilitate quicker hypothesis validation and drug development progress, moving beyond the mere promise of AI to deliver actionable, accountable results.
Don’t miss this opportunity to explore examples and absorb expertise from a leader who isn’t just giving lip service to AI, but is actively leveraging it to add real value to drug discovery. Register now to gain practical insights on integrating AI into your R&D processes.
Learning Objectives:
- Understand how the integration of AI with purpose-built data infrastructure and experimental validation is setting new standards in drug R&D efficiency and success rates.
- Learn about the transformative impact of combining AI modeling with laboratory testing to optimize the design-make-test-analyze cycle, significantly accelerating drug development.
- Discover the benefits of Logica’s innovative risk-sharing model, which aligns our success with our partners’, reducing financial barriers and fostering joint scientific discovery.
- Gain insights into how a comprehensive data infrastructure enhances model accuracy, enabling earlier computational predictions and facilitating quicker hypothesis validation.
Register