The mass spectrometer can detect different structures of the sugar molecules, called glycans, in our cells. The structures can indicate different forms of cancer in the cells. Credit: Lundberg Research Foundation/Magnus Gotander
Researchers at the University of Gothenburg have created an AI model that enhances cancer detection capabilities through sugar analysis. This AI model outperforms the existing semi-manual techniques in speed and 
Daniel Bojar, Associate Senior Lecturer in Bioinformatics at the University of Gothenburg. Credit: Lundberg Research Foundation/Magnus Gotander
The AI model was trained using a database of over 500,000 examples of different fragmentations and associated structures of sugar molecules.
“The training has enabled Candycrunch to calculate the exact sugar structure in a sample in 90 percent of cases,” says Daniel Bojar, Associate Senior Lecturer in Bioinformatics at the University of Gothenburg.
Can find new biomarkers
This means that the AI model could soon reach the same levels of accuracy as the sequencing of other biological sequences, such as DOI: 10.1038/s41592-024-02314-6
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