Traditional MIC-based antibiotic susceptibility testing often misses sub-resistant bacteria, including persistent, tolerant, and heteroresistant populations, which may contribute to treatment failure and resistance evolution. Researchers at Huazhong University of Science and Technology have developed DP-AST, a deep learning-based microfluidic rapid phenotypic AST platform inspired by the Dujiangyan irrigation system. DP-AST measures MIC, bacterial growth activity, and concentration-effect curves to identify hidden sub-resistant bacteria. The study also identified gadE as a key regulator of amikacin sub-resistance in E. coli, offering new insights for resistance mechanism studies and future clinical diagnostics.Traditional MIC-based antibiotic susceptibility testing often misses sub-resistant bacteria, including persistent, tolerant, and heteroresistant populations, which may contribute to treatment failure and resistance evolution. Researchers at Huazhong University of Science and Technology have developed DP-AST, a deep learning-based microfluidic rapid phenotypic AST platform inspired by the Dujiangyan irrigation system. DP-AST measures MIC, bacterial growth activity, and concentration-effect curves to identify hidden sub-resistant bacteria. The study also identified gadE as a key regulator of amikacin sub-resistance in E. coli, offering new insights for resistance mechanism studies and future clinical diagnostics.Traditional MIC-based antibiotic susceptibility testing often misses sub-resistant bacteria, including persistent, tolerant, and heteroresistant populations, which may contribute to treatment failure and resistance evolution. Researchers at Huazhong University of Science and Technology have developed DP-AST, a deep learning-based microfluidic rapid phenotypic AST platform inspired by the Dujiangyan irrigation system. DP-AST measures MIC, bacterial growth activity, and concentration-effect curves to identify hidden sub-resistant bacteria. The study also identified gadE as a key regulator of amikacin sub-resistance in E. coli, offering new insights for resistance mechanism studies and future clinical diagnostics.

World Sepsis Day on 13 September 2026 / Critical care specialists Professor Jan Rossaint and Professor Alexander Zarbock from the University of Münster talk about the latest research being done on sepsis and other types of systemic inflammation / Examples include kidney damage after major surgery and the search for biomarkers that predict risks