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Robotic hand pressing a keyboard on a laptop 3D rendering | Image Credit: © sdecoret - stock.adobe.com

We interviewed an AI program (ChatGPT) for LCGC North America asking questions about AI and its role in various applications for separation science to include data analysis, and high performance liquid chromatography (HPLC), hydrophilic-interaction chromatography (HILIC), reversed-phase liquid chromatography (RPLC), liquid chromatography–mass spectrometry (LC–MS), gas chromatography–mass spectrometry (GC–MS), high resolution mass spectrometry (HRIM–MS), high resolution tandem mass spectrometry (HRMS/MS), and related topics.

Night view of the city of Cluj-Napoca and its football stadium | Image Credit: © OMP.stock - stock.adobe.com

The Separation Sciences Section of the Romanian Chemical Society cordially invites you the the 27th International Symposium on Separation Science, which will take place in Cluj-Napoca, Romania, from September 24–27th.

3D image of Telmisartan skeletal formula - molecular chemical structure of high blood pressure medication isolated on white background | Image Credit: © kseniyaomega - stock.adobe.com

Sartans are important drugs that help treat hypertension and heart failure. However, since their recall in 2018 because of the presence of genotoxic impurities in these drugs, researchers are tackling the question of how to detect these impurities in these drugs before they go to market. This article describes a HPLC–APCI-MS/MS method that can help in this endeavor.

Artificial Intelligence in Hospitals, Doctor being assisted by AI bot for clinical diagnosis | Image Credit: © Hamid - stock.adobe.com.

A new approach developed by researchers called MetImage can help decode liquid chromatography–mass spectrometry (LC–MS)-based untargeted metabolomics data into multichannel digital images, which is a new approach for using whole metabolome profiles for AI-based clinical applications.