Health IT Analytics May 18, 2022
New York-based Memorial Sloan Kettering Cancer Center has developed a machine-learning sensor that can sniff for cancer in patient blood samples.
Researchers at Memorial Sloan Kettering Cancer Center (MSK) have created a tool that can sniff for and identify cancer in blood samples using machine learning.
Like the human nose, the tool uses sensors to detect molecules and how they interact, which generates a unique molecular signature of a given disease. The tool’s sensors are made of fluorescent carbon nanotubes almost 100,000 times smaller than the width of a human hair. The light the nanotubes produce can be used to generate a pattern. These patterns are then given to a machine-learning model trained to differentiate between cancer and normal patterns.
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