AI tool detects hidden warning signs of disease by analyzing genetic building blocks within cells

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.

“This tool has the potential to help doctors match patients with the therapies most likely to work for them, reducing trial-and-error in treatment,” said senior author Jun Ding, assistant professor in McGill’s Department of Medicine and a junior scientist at the Research Institute of the McGill University Health Centre.

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