Emerging technologies for molecular diagnosis of sepsis

Clinical Microbiology Reviews

Volumn 31, Issue 2, 2018, Pages

  Sinha, Mridu ^a   Jupe, Julietta ^b   Mack, Hannah ^a   Coleman, Todd P ^a,f   Lawrence, Shelley M ^c,d,e,f   Fraley, Stephanie I ^a,e,f  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b DONALD DANFORTH PLANT SCIENCE CENTER   (United States)

^c UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^d RADY CHILDREN'S HOSPITAL   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

Biomedical engineering; Diagnostic; DNA sequencing; Infectious disease; Microbiology techniques

Indexed keywords

ANTIBIOTIC RESISTANCE; BACTERIAL ENDOCARDITIS; BACTERIAL GROWTH; BACTERIAL STRAIN; BIOMEDICAL ENGINEERING; BLOOD CULTURE; CLINICAL DECISION MAKING; CLINICAL EVALUATION; COMMUNICABLE DISEASE; DISEASE CONTROL; DNA SEQUENCE; ELECTRONIC MEDICAL RECORD; GENE AMPLIFICATION; GOLD STANDARD; HOST CELL; HUMAN; MACHINE LEARNING; MICROBIAL IDENTIFICATION; MOLECULAR DIAGNOSIS; NONHUMAN; PREDICTIVE VALUE; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; REVIEW; SEPSIS; SEQUENCE ANALYSIS; STREPTOCOCCUS; UNITED STATES; MICROBIOLOGICAL EXAMINATION; MICROBIOLOGY; STANDARDS; TRENDS;

BACTERIOLOGICAL TECHNIQUES; HUMANS; MOLECULAR DIAGNOSTIC TECHNIQUES; SEPSIS;

EID: 85044174430     PISSN: 08938512     EISSN: 10986618     Source Type: Journal    
DOI: 10.1128/CMR.00089-17     Document Type: Review

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