Accelerating Clinical & Drug Development Timelines with AI

Accelerating Clinical & Drug Development Timelines with AI

As the drug development landscape rapidly evolves, artificial intelligence (AI) is emerging as a transformative force, fundamentally reshaping processes and enhancing efficiencies. This webinar delves into AI’s significant impact on streamlining clinical project management, revolutionizing the generation of crucial research outputs and accelerating drug discovery.

Listen to industry leaders from Enveda Biosciences, Dr. Vince Clinical Research (DVCR) and Clario in this webinar to cover the following learning objectives:

Expediting and Automating Key Deliverables in Clinical Research

  • AI can significantly expedite the generation of downstream data tabulation and analysis by automating updates and adaptations of core programs using industry standards like CDISC. Learn about AI-powered data extraction from protocols and CRFs, and the automation of key deliverables.

Responsibly Advancing AI for Digital Endpoint Collection

  • While AI has the ability to significantly improve digital endpoint collection, the potential for bias must be mitigated through careful training data selection. Attendees will receive a framework for ensuring ethical and effective AI implementation.

Implementing AI in Clinical Project Management

  • AI has the ability to transform project management within clinical research by streamlining processes, enhancing decision-making, and optimizing resource allocation.
  • View real-world applications and best practices for integrating AI into project management workflows and strategies to overcome challenges and resistance.

Optimizing and Accelerating Drug Discovery

  • How can AI be utilized to obtain new biological insights and optimize chemical processes? Attendees will learn about using AI to leverage Large Language Models (LLMs) to access diverse chemistry, discover new Mechanisms of Action (MoAs) and the substantial acceleration of First-in-Class (FIC) candidate discovery compared to industry averages.

What Lies Ahead

  • Speakers will discuss future opportunities to expand the application of AI in both clinical and drug development and where the industry is trending.

Embrace this opportunity to stay ahead and lead in a rapidly evolving field.

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