Merck: Accelerating Precision Medicine: Using AI Assistants in GxP Environments
Discover how intelligent assistants at Merck are redefining how scientific teams interact with complex research datasets. This webinar showcases how researchers can intuitively explore and analyze data through a conversational interface, bridging the gap between scientific inquiry and computational execution. These capabilities reflect the growing influence of AI in biopharma, where intelligent systems accelerate insight generation and support more aligned, cross‑disciplinary decision‑making.
You’ll learn how Merck uses Genedata Profiler to enhance data exploration while upholding strong ai data governance, AI data integrity, and ALCOA+ principles—critical foundations for trustworthy analytics in modern R&D. By leveraging scalable AI cloud solutions, Merck’s intelligent assistants streamline access to multimodal datasets and strengthen both AI in scientific discovery and AI in scientific research. These advancements also illustrate the role of artificial intelligence in precision medicine, where rapid data interrogation and pattern recognition help uncover biomarkers and guide more targeted therapeutic strategies.
This session highlights how AI‑enabled assistants contribute to AI precision medicine and support emerging ai drug discovery workflows by enabling scientists to ask complex questions, surface relevant insights, and accelerate biomarker research. By integrating conversational analytics into daily scientific work, Merck demonstrates how AI and precision medicine are converging to create faster, smarter, and more scalable research environments.
In this webinar you will learn how Merck uses Genedata to:
• Understand how intelligent assistants enhance scientific data exploration and analysis
• Explore how artificial intelligence can accelerate biomarker research and development by enhancing data analysis, pattern recognition, and decision‑making processes
Who Should Watch
Data Scientists & Research Scientists for:
- Clinical and Biomarker Research
- Biostats & Epidemiology
- Pre-clinical Safety