
Moving AI Chromatography Tools into Pharmaceutical Environments
Key Takeaways
- AI-driven chromatography tools enhance data analysis, improving efficiency and accuracy in pharmaceutical processes.
- Integration of AI in chromatography can streamline workflows, reduce human error, and ensure consistent results.
Dave Abramowitz of Thermo Fisher Scientific on how he sees artificial intelligence (AI)-driven chromatography tools scaling from research labs to regulated pharmaceutical environments, where compliance and validation are critical, in this first part of our video interview series.
In the first part of our video interview series, Dave Abramowitz of Thermo Fisher Scientific discusses how artificial intelligence (AI)-driven chromatography tools are scaling from research laboratories to regulated pharmaceutical environments, where compliance and validation are critical. Abramowitz currently leads the unified product management and ownership team for chromatography and mass spectrometry software at Thermo Fisher Scientific. He previously served as the ecosystem product portfolio leader for the Analytical Instrumentation Group and brings over 15 years of experience in digital solutions and platform implementation within the life sciences sector.
Stay tuned for the rest of the series, where Abramowitz dives deeper into how AI is shaping analytical workflows and the future of pharmaceutical laboratories.
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