SLAS Technology 22.6 December 2017
Listen to author Weian Zhao of the University of California, Irvine, as he talks about his new article, which summarizes and analyzes representative emerging micro- and nanotechnologies and automated systems for bacterial ID/AST, including phenotypic and molecular methods; discusses representative point-of-care systems that integrate sample processing, fluid handling, and detection for rapid bacterial ID/AST; and highlights major challenges and potential future endeavors toward improving clinical outcomes.
Visit slas.org/data23 to learn more about the 2023 Data Sciences and AI Symposium.