Abstract: In one embodiment, a diagnostic system includes an instrument coupled to a client device and having at least one sample processing bay. The diagnostic system has a software architecture including instrument software (ISW) associated with the instrument. The ISW receives an assay definition file (ADF) that has a control file and an assay analysis module (AAM) file. The processing bay prepares and senses the sample according to parameters in the OPUS file and then generates sensor scan data. The diagnostic system then analyzes the sensor scan data and prepares a report according to the AAM file.

Abstract: In one embodiment, a diagnostic system includes an instrument coupled to a client device and having at least one sample processing bay. The diagnostic system has a software architecture including instrument software (ISW) associated with the instrument. The ISW receives an assay definition file (ADF) that has a control file and an assay analysis module (AAM) file. The processing bay prepares and senses the sample according to parameters in the OPUS file and then generates sensor scan data. The diagnostic system then analyzes the sensor scan data and prepares a report according to the AAM file.

Abstract: In one embodiment, a diagnostic system includes an instrument coupled to a client device and having at least one sample processing bay. The diagnostic system has a software architecture including instrument software (ISW) associated with the instrument. The ISW receives an assay definition file (ADF) that has a control file and an assay analysis module (AAM) file. The processing bay prepares and senses the sample according to parameters in the OPUS file and then generates sensor scan data. The diagnostic system then analyzes the sensor scan data and prepares a report according to the AAM file.

Abstract: In one embodiment, a diagnostic system includes an instrument coupled to a client device and having at least one sample processing bay. The diagnostic system has a software architecture including instrument software (ISW) associated with the instrument. The ISW receives an assay definition file (ADF) that has a control file and an assay analysis module (AAM) file. The processing bay prepares and senses the sample according to parameters in the OPUS file and then generates sensor scan data. The diagnostic system then analyzes the sensor scan data and prepares a report according to the AAM file.

Abstract: The present disclosure relates to methods and devices for amplifying a plurality of targets in a single PCR run while distinguishing between clinically relevant amplification and amplification from other sources such as from background contamination. The methods and devices further enable discrimination between gram-positive, gram-negative and fungal infections as wells as identify antimicrobial resistance genes. When applying the methods and devices of the invention, the species or genus of an infection(s), and genus of a fungal co-infection(s) or category of bacterial (gram-positive or negative) co-infection(s) are identified. Species identification of co-infections can also be achieved. Further, when applying the methods and devices of the invention, organisms which are likely to be contaminating organisms from a blood draw are identified.

Abstract: A pathogen detection device is provided. The pathogen detection device may include a pathogen detector circuit configured to detect a target analyte in a patient sample, determine the presence of a pathogen from the target analyte, and generate a detection result including the identity of the pathogen and resistance genes (if any); and a decision support generator circuit configured to generate decision support information for the pathogen by application of user configurable rules to the detection result, wherein each of the configurable rules include a logic expression that indicates the corresponding decision support information of the rule to be included in the detection report.

Abstract: The present disclosure relates to methods and devices for amplifying a plurality of targets in a single PCR run while distinguishing between clinically relevant amplification and amplification from other sources such as from background contamination. The methods and devices further enable discrimination between gram-positive, gram-negative and fungal infections as wells as identify antimicrobial resistance genes. When applying the methods and devices of the invention, the species or genus of an infection(s), and genus of a fungal co-infection(s) or category of bacterial (gram-positive or negative) co-infection(s) are identified. Species identification of co-infections can also be achieved. Further, when applying the methods and devices of the invention, organisms which are likely to be contaminating organisms from a blood draw are identified.

Abstract: A pathogen detection device is provided. The pathogen detection device may include a pathogen detector circuit configured to detect a target analyte in a patient sample, determine the presence of a pathogen from the target analyte, and generate a detection result including the identity of the pathogen and resistance genes (if any); and a decision support generator circuit configured to generate decision support information for the pathogen by application of user configurable rules to the detection result, wherein each of the configurable rules include a logic expression that indicates the corresponding decision support information of the rule to be included in the detection report.

Abstract: A pathogen detection device is provided. The pathogen detection device may include a pathogen detector circuit configured to detect a target analyte in a patient sample, determine the presence of a pathogen from the target analyte, and generate a detection result including the identity of the pathogen and resistance genes (if any); and a decision support generator circuit configured to generate decision support information for the pathogen by application of user configurable rules to the detection result, wherein each of the configurable rules include a logic expression that indicates the corresponding decision support information of the rule to be included in the detection report.

Abstract: In one embodiment, a diagnostic system includes an instrument coupled to a client device and having at least one sample processing bay. The diagnostic system has a software architecture including instrument software (ISW) associated with the instrument. The ISW receives an assay definition file (ADF) that has a control file and an assay analysis module (AAM) file. The processing bay prepares and senses the sample according to parameters in the OPUS file and then generates sensor scan data. The diagnostic system then analyzes the sensor scan data and prepares a report according to the AAM file.