How Structured Data Frameworks Will Support Successful Application of AI in CMC Workstreams | Digital CMC Basecamp On-Demand | Presentation
Learn how to develop structured data frameworks fit for drug development
Explore a Digital CMC approach to creating a vertically integrated knowledge base.
Take a closer look at optimized taxonomy and ontology hierarchies for CMC data
See how structured data will support the transition to structured regulatory submissions.
The multi-billion dollar question: How can CMC unlock the value of AI?
The first Digital CMC Basecamp kicked off with one of the hottest topics in drug development. To start the meeting, QbDVision President and CEO Yash Sabharwal hit the room with a reality check: AI's transformative potential is very real. But so are the data management challenges standing in the way.
In his opening remarks, Yash dives into the excitement and anxiety surrounding AI for drug development, potential enabling data structures, and how CMC data curation will need to evolve to unlock the power of predictive and generative technologies.
Stream his whole presentation to learn:
- Why structured data frameworks are essential to successful application of AI in CMC workstreams
- How data models like LLMs need to be adapted for domain-specific applications
- What CMC innovators can learn from the AI solutions already transforming drug discovery
- How a Digital CMC approach can help drug developers lay the groundwork for their AI use cases Register below to watch the full session and audience Q&A!
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