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.

Abstract: Methods for detecting and treating polymicrobial infections, wherein a mixed population of microbes (e.g., bacteria) are present in a patient sample and the microbes are not first isolated from the sample. For example, the present invention describes specific polymicrobial infections and methods of treating said infections, wherein a particular antibiotic or a group of antibiotics are selected based on the composition of the polymicrobial infections.

Abstract: Methods for detecting and treating polymicrobial infections, wherein a mixed population of microbes (e.g., bacteria) are present in a patient sample and the microbes are not first isolated from the sample. For example, the present invention describes specific polymicrobial infections and methods of treating said infections, wherein a particular antibiotic or a group of antibiotics are selected based on the composition of the polymicrobial infections.

Abstract: Methods for detecting and treating polymicrobial infections, wherein a mixed population of microbes (e.g., bacteria) are present in a patient sample and the microbes are not first isolated from the sample. For example, the present invention describes specific polymicrobial infections and methods of treating said infections, wherein a particular antibiotic or a group of antibiotics are selected based on the composition of the polymicrobial infections.

Abstract: Methods for identifying and providing therapeutic solutions for treating polymicrobial infections, such as but not limited to urinary tract infections, based on concordance between ABR genes and antibiotic susceptibility. 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.

Abstract: Methods for detecting and treating polymicrobial infections, wherein a mixed population of microbes (e.g., bacteria) are present in a patient sample and the microbes are not first isolated from the sample. For example, the present invention describes specific polymicrobial infections and methods of treating said infections, wherein a particular antibiotic or a group of antibiotics are selected based on the composition of the polymicrobial infections.

Abstract: Methods for detecting and treating polymicrobial infections, wherein a mixed population of microbes (e.g., bacteria) are present in a patient sample and the microbes are not first isolated from the sample. For example, the present invention describes specific polymicrobial infections and methods of treating said infections, wherein a particular antibiotic or a group of antibiotics are selected based on the composition of the polymicrobial infections.

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.

Abstract: Methods for detecting and treating polymicrobial infections, wherein a mixed population of microbes (e.g., bacteria) are present in a patient sample and the microbes are not first isolated from the sample. For example, the present invention describes specific polymicrobial infections and methods of treating said infections, wherein a particular antibiotic or a group of antibiotics are selected based on the composition of the polymicrobial infections.

Abstract: Disclosed herein are methods determining susceptibility of bacteria in a sample from a subject suspected of having an infection to a plurality of antibiotics simultaneously, wherein the sample is tested without first isolating the bacteria from the sample.

Abstract: Disclosed herein are methods determining susceptibility of bacteria in a sample from a subject suspected of having an infection to a plurality of antibiotics simultaneously, wherein the sample is tested without first isolating the bacteria from the sample.

Abstract: Disclosed herein are methods determining susceptibility of bacteria in a sample from a subject suspected of having an infection to a plurality of antibiotics simultaneously, wherein the sample is tested without first isolating the bacteria from the sample.