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A deep learning model developed by Daniel Bojar and his team can analyze exact glycan structures with high precision and in just a few seconds per sample. This has the potential to greatly benefit clinical and translational research, as glycans play a significant role in many processes in the human body. With the use of AI and deep learning, the analysis can now be done quickly and without requiring expert knowledge in the methods.