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.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.