tumor cells circulating in the blood of cancer patients are important markers for early diagnosis, treatment success and patient prognosis. But since so few circulate, identifying them is a challenge. Thanks to artificial intelligence, researchers of the University of Twente managed to automate the process with a high level of accuracy. Additionally, the new technology not only detects the tumor cells, but also unravels hidden information. Extracellular vesicles, important in cell interaction, are classified, as well. The researchers presented their results in the February 10 issue of Nature Machine Intelligence.
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