Researchers use game theory to successfully identify bacterial antibiotic resistance
Washington State University researchers have developed a novel way to identify previously unrecognized antibiotic-resistance genes in bacteria.
By employing machine learning and game theory, the researchers were able to determine with 93 to 99 percent accuracy the presence of antibiotic-resistant genes in three different types of bacteria.
The researchers, including graduate student Abu Sayed Chowdhury and Professor Shira Broschat in the School of Electrical Engineering and Computer Science, and Douglas Call in the Paul Allen School of Global Animal Health, report on their work in the high-profile journal, Scientific Reports.
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