USC Researchers Develop AI Tool for Cancer Detection
The new algorithm, named RED, can automate the detection of cancer cells in blood samples with 99% accuracy in about 10 minutes.
Automating the "Needle in a Haystack" Search
Researchers at the University of Southern California Viterbi School of Engineering announced the development of a new artificial intelligence algorithm that can automate the detection of cancer cells in blood samples. The tool, named RED for Rare Event Detection, addresses the significant challenge of finding the very small number of cancer cells that circulate in the bloodstream, a process known as a liquid biopsy.
The algorithm can analyze a blood sample in approximately 10 minutes, a dramatic improvement over current methods that require trained specialists to manually review thousands of images for …
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