Study: Machine learning can help detect cancer cells by their acidity


Machine learning could be used in pH imaging to detect single cancer cells based on their pH levels, according to a March 16 report published in AIP Publishing

Cancer cells have a different level of acidity than healthy cells, causing them to react differently to pH-sensitive dye that changes color based on a cell's acidity.

Researchers then used machine learning to map color combinations to classify the disease state of individual cells. This allowed researchers to recognize an undesired shift.

Other popular techniques for examining a single cell can be invasive and induce toxic effects on the cell. This method does not do either, the report says.

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