Unifying the Design-Make-Test-Decide R&D Lifecycle
Novel drug modalities offer enormous potential for treating disease, but they also introduce significant research and development (R&D) challenges, including fragmented workflows across the drug discovery process and complex, interdisciplinary data analysis.
A streamlined data platform can help address these challenges by allowing data integration across all stages of the design-make-test-decide R&D process and cross-disciplinary collaboration.
In this Teach Me in 10 episode, we explore how versatile data platforms can help scientists make data-driven decisions and accelerate the development of novel therapeutics.
Watch this episode to understand:
- How to overcome obstacles in implementing an effective R&D lifecycle
- How AI and machine learning can help streamline workflows
- How data platforms enable innovation in drug discovery
Further resources:
- Signals OneTM|Revvity Signals Software
- AI Success Relies on Effective Data Management
- One Solution for Design-Make-Test-Decide
- Request a demo
- Register for our ongoing Signals Connect community Webinar series
Meet the Author
Senior Science Writer
Interviewing
Director, Drug Discovery and Informatics Solutions at Revvity Signals
