METHODS AND SYSTEMS FOR PREPARING THERAPEUTIC SOLUTIONS FOR POLYMICROBIAL INFECTIONS

    公开(公告)号:US20210172000A1

    公开(公告)日:2021-06-10

    申请号:US17178091

    申请日:2021-02-17

    Abstract: Methods for identifying and providing therapeutic solutions for treating polymicrobial infections, such as but not limited to urinary tract infections. The methods herein feature detection and identification of organisms of the polymicrobial infection, phenotypic pooled sensitivity tests for determining the susceptibility or resistance of the polymicrobial infection in the sample to an antibiotic or other therapeutic agent, and identification of resistance genes, e.g., genetic markers that may indicate resistance to a particular treatment. Together, the data can be applied against databases of antibiotic/therapeutic susceptibility or resistance for particular known polymicrobial infections in order to provide one or more therapeutic solutions for the polymicrobial infection.

    METHODS AND SYSTEMS FOR DETERMINING SUITABILITY OF COMPOSITIONS FOR INHIBITING GROWTH OF POLYMICROBIAL SAMPLES

    公开(公告)号:US20230392185A1

    公开(公告)日:2023-12-07

    申请号:US18451748

    申请日:2023-08-17

    CPC classification number: C12Q1/08 G01N21/59 G01N2021/593 G01N21/5907

    Abstract: Methods for identifying and providing information about inhibiting growth of polymicrobial infections, including but not limited to providing statistics or information about the likelihood of success in inhibiting growth of a polymicrobial infection with particular compositions or therapeutic solutions. The methods herein feature detection and identification of organisms of the polymicrobial sample (e.g., polymicrobial infection), phenotypic pooled sensitivity tests for determining the susceptibility or resistance of the polymicrobial sample (e.g., polymicrobial infection) in the sample to an antibiotic or other therapeutic agent, and identification of resistance genes, e.g., genetic markers that may indicate resistance to a particular treatment. Together, the data can be applied against databases of antibiotic/therapeutic susceptibility or resistance for particular known polymicrobial samples (e.g., polymicrobial infections) in order to provide information related to the likelihood of success of one or more therapeutic solutions for the polymicrobial sample (e.g., polymicrobial infection).

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