Post by Genedata

Where's the real bottleneck in LC-MS workflows? Not acquisition. It's what happens with the data after.   In a new interview with Separation Science, Genedata's Aude Tartiere breaks down why downstream data processing, review, and reporting are where labs lose the most time — and what it takes to build AI-ready workflows: high-quality data, strong metadata, and systems that scale.   “Data needs to be annotated well with good metadata,” she explains. “In AI, you need a lot of data, so you need a scalable, powerful system.”   Read the full version: https://lnkd.in/dzUpB2Tq