Summary:
«Researchers at Memorial Sloan Kettering Cancer Center (MSK) have developed a sensor that can be trained to sniff for cancer, with the help of artificial intelligence.»
«Although the training doesn’t work the same way one trains a police dog to sniff for explosives or drugs, the sensor has some similarity to how the nose works. The nose can detect more than a trillion different scents, even though it has just a few hundred types of olfactory receptors. The pattern of which odor molecules bind to which receptors creates a kind of molecular signature that the brain uses to recognize a scent.»
«Like the nose, the cancer detection technology uses an array of multiple sensors to detect a molecular signature of the disease. Instead of the signals going to the brain, they are interpreted by machine learning — a type of computer artificial intelligence.»
«MSK researchers led by Kravis WiSE Postdoctoral Fellow Mijin Kim and biomedical engineer Daniel Heller, head of the Cancer Nanomedicine Laboratory at MSK, built the technology using an array of sensors composed of carbon nanotubes. Carbon nanotubes are tiny tubes, nearly 100,000 times smaller than the width of a human hair. They are fluorescent, and the light they give off is very sensitive to minute interactions with molecules in their environment.»
Article written by Memorial Sloan Kettering Cancer Center .
12|05|2022
Source:
Memorial Sloan Kettering Cancer Center
https://www.mskcc.org/news/sensor-sniffs-cancer-using-artificial-intelligence