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Point-of-care antimicrobial susceptibility testing based on simultaneous tracking of multi-phenotypic features of single bacterial cells

Point-of-care antimicrobial susceptibility testing based on simultaneous tracking of multi-phenotypic features of single bacterial cells
基于同时跟踪单个细菌细胞的多表型特征的护理点抗菌药物敏感性测试
批准号:
10188407
负责人:
SHAOPENG WANG
金额:
$107.97万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-25 至 2023-06-30

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英文摘要
ABSTRACT Antibiotic resistance has become a significant public health threat. To combat the problem, a rapid pathogen identification (ID) and antimicrobial susceptibility testing (AST) technology is needed to provide timely diagno- sis of resistant infections and delivery of accurate antibiotic treatment at primary health-care settings, includ- ing hospitals and point-of-care (POC). The present project aims to develop a point-of-care AST (POCASTTM) technology based on a large-image-volume microscopy technique that enables direct detection of individual bacterial cells in clinical samples without culturing or pathogen isolation, and a machine-learning model that allows fast determination of pathogen and susceptibility. To establish the technology, the project will focus on urinary tract infections (UTIs). UTIs affect millions of people annually, and the pathogens that usually cause UTIs are the organisms that pose the highest threat of antimicrobial resistance, including carbapenem- resistant Enterobacteriaceae (CRE) and extended spectrum β-lactamase (ESBL)-producing Enterobacteri- aceae. This project will focus on: 1) developing the large-image-volume microscopy and machine learning model for simultaneous tracking of multi-phenotypic features of single bacterial cells directly in patient urine sample, and performing rapid automatic pathogen ID and AST for UTIs; 2) building prototype instrument, and 3) validating the instrument for UTIs using large scale clinical samples. Successful development and validation of the tech- nology will enable precise antibiotic prescription on the same day of patient visit. The project will be carried out by a multidisciplinary team with expertise in biosensors (Biodesign Center for Bioelectronics and Biosensors, ASU), microbiology and infectious diseases (Biodesign Center for Immuno- therapy, Vaccines and Virotherapy, ASU), biomedical instrument development and production (Biosensing Instrument Inc.), and clinical testing (Clinical Microbiology Laboratory, Mayo Clinic). !
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