LCGC Virtual Symposium on Data Integrity Figure 2

Interest in applying artificial intelligence (AI) and machine learning (ML) to chromatography is greater than ever. In this article, we discuss data-related barriers to accomplishing this goal and how rethinking chromatography data systems can overcome them.

Informative panel discussions featuring key opinion leaders from the separation science sector discussing the latest technology trends and developments in liquid chromatography, gas chromatography, sample preparation, and data handling.

As data volumes and expectations for fast scientific discovery continue to increase, laboratory-based research organizations can no longer rely on a siloed approach to data management. To remain competitive, scientific organizations need to connect all their data, from discovery through manufacturing, in a unified informatics platform.

Scientists from the University of Turin, Italy have learned how to combine their complementary competencies in analytical chemistry and big data analytics to achieve significant advances in food science and health.

LCGC’s Senior Technical Editor uses artificial intelligence (AI) platform ChatGPT to answer questions about the role of AI in separation science. Do you agree with ChatGPT?

The 11th International Symposium on Recent Advances in Food Analysis will be in Prague, Czech Republic from 5–8 November 2024.