Glycans, or the structures of sugar molecules in our cells, can be measured using mass spectrometry. These structures can indicate various types of cancer. However, analyzing mass spectrometry data requires a lot of time and highly skilled experts.
The glycan analysis process is a bottleneck in using this data for cancer detection, especially when large numbers of samples are involved. The Candycrunch model developed at the University of Gothenburg solves this problem in just a few seconds per test.
Candycrunch was trained on a database of over 500,000 examples of different breakdowns and structures of sugar molecules. It identifies the sugar structure in a sample 90% of the time, bringing it closer to the level of accuracy found in DNA, RNA, or protein sequencing.
Source: Ferra
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