McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most responsible for driving aggressive cancers.

The tool, called SIDISH, offers scientists a clearer path to designing targeted therapies by showing which cells inside a tumour are most strongly linked with poor patient outcomes, rather than treating all cancer cells as if they behave the same way.

Classified as: Jun Ding, Department of Medicine, Research Institute of the McGill University Health Centre
Published on: 15 Apr 2026

McGill University researchers have developed an artificial intelligence tool that can detect previously invisible disease markers inside single cells.

In a study published in Nature Communications, the researchers demonstrate how the tool, called DOLPHIN, could one day be used by doctors to catch diseases earlier and guide treatment options.

Classified as: Jun Ding, Kailu Song, Quantitative Life Sciences, Department of Medicine, Research Institute of the McGill University Health Centre
Published on: 1 Oct 2025
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