基本信息
views: 14
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
Dr. Carroll's research interests include diagnostic test evaluation and development for the detection of microbial pathogens in clinical specimens. Projects have included implementation of MALDI-TOF MS for microbial identification, evaluation of molecular strain typing techniques for epidemiological analysis; development of molecular and non-molecular assays for rapid identification and susceptibility testing of MRSA; and evaluation of methods for Clostridium difficile detection. In addition, her research has focused on evaluation and implementation of syndromic panel tests for bacteremia and fungemia detection. More recently Dr. Carroll has collaborated with researchers on novel rapid microfluidics platforms and next generation sequencing technologies for detection of a variety of pathogens. She has participated in programs to foster appropriate test utilization and diagnostic stewardship.
Research Interests
Papers共 518 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CLINICAL INFECTIOUS DISEASES (2024)
Richard G Bachur,Sheldon L Kaplan,Cesar A Arias, Natasha Ballard,Karen C Carroll,Andrea T Cruz,Richard Gordon,Salim Halabi, Jeffrey D Harris,Kristina G Hulten, Theresa Jacob,Mark D Kellogg,
Robert Hamilton-Seth, Vincent Streva, Natalie Gammel,Victoria L Campodónico,Patricia J Simner,Sean X Zhang,Karen C Carroll
Journal of clinical microbiologyno. 5 (2024): e0017924-e0017924
Antimicrobial Stewardship & Healthcare Epidemiologyno. 1 (2023): e12-e12
Expert review of molecular diagnosticsno. 8 (2023): 679-699
Expert review of molecular diagnosticsno. 6 (2023): 475-484
Journal of clinical microbiologyno. 11 (2023): e0083823-e0083823
JAC-ANTIMICROBIAL RESISTANCEno. 3 (2023)
Microbiology spectrumno. 6 (2023)
JAC-antimicrobial resistanceno. 3 (2023)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn