Abstract: This present disclosure provides an integrated workflow and systems for the efficient deployment of integrated genomic and proteomic diagnostic assays. The diagnostic assays include a proteomic component, a genetic component, liquid handling robots, a LIMS system, and a software classifier component. Also provided herein are systems and diagnostic assays for the detection of lung cancer.

Abstract: The present disclosure relates to alternative methods of conducting standard blood chemistry tests, the methods typically comprising: extracting an RNA from a blood sample, determining a mRNA level of a predictive gene in the blood sample, and converting the mRNA level of the predictive gene into the blood test result of the target blood component. The present disclosure also relates to blood test for performing the proxy methods. The blood test includes a plasmid with at least an exon of a predictive gene, a reagent for detecting a mRNA level of the predictive gene, and a reagent for detecting a mRNA level of a housekeeping gene.

Abstract: The present invention provides a method for educating and expanding tumor infiltrating lymphocytes (TILs) into a therapeutic population of TILs for adoptive cell immunotherapy. Also provided are methods of treating cancer patients with the therapeutic population of TILs.

Abstract: The present disclosure relates to alternative methods of conducting standard blood chemistry tests, the methods typically comprising: extracting an RNA from a blood sample, determining a mRNA level of a predictive gene in the blood sample, and converting the mRNA level of the predictive gene into the blood test result of the target blood component. The present disclosure also relates to blood test for performing the proxy methods. The blood test includes a plasmid with at least an exon of a predictive gene, a reagent for detecting a mRNA level of the predictive gene, and a reagent for detecting a mRNA level of a housekeeping gene.

Abstract: A field asset suitable for use in a machine to machine environment includes a machine controller configured to function as a master of a shared bus (e.g. an MDB bus) and one or more slave peripheral devices connected to the bus. The field asset includes a snoop agent to capture packets transmitted on the shared bus. The snoop agent may be implemented as a microcontroller coupled to the MDB bus via a UART and isolation circuitry and controlled by appropriate packet capture firmware. The microcontroller may capture and buffer captured data and send the buffered data to a snoop application module. The application module may be implemented as part of an extended function adapter including an embedded processor in communication with the microcontroller.

Abstract: Embodiments of the invention may further provide a method for adjusting the granularity of a network analysis sample while maintaining validity. The method includes calculating states for each device in the network for a first number of predetermined equal intervals within a first sample window, selecting a second sample window that is smaller than the first sample window, selecting a second predetermined number of equal intervals for the second sample window, and determining an interval from the first number of predetermined intervals that immediately precedes an initial interval of the second predetermined number of equal intervals. The method further includes using the calculated state from the preceding interval to calculate a starting state for the initial interval, and calculating state for each device in the network for each of the second predetermined number of equal intervals.

Abstract: A cross-port analysis method is provided to analyze multichannel traces in a network. More particularly, cross-port analysis is a method allowing for aggregate network analysis capabilities from a multi-channel analyzer. This can be performed as traces of network traffic generated by each port on two or more analyzers. Precise timestamps are recorded for each trace and the topology of devices on the network is determined. An expert analysis is then performed on the captured data traces.

Abstract: Embodiments of the invention provide a method for determining errors and metrics in a computer network. The method includes positioning an analyzer in communication with the network, capturing a data trace of the network with the analyzer, determining a network device topology from a first processing of the data trace, building user layer protocols using a second processing of the data trace and the determined device topology, determining errors in the network device topology using protocol experts applied to the user layer protocols in conjunction with the determined device topology, and displaying at least one of the device topology and the determined errors to a user.

Abstract: Embodiments of the invention provide a graphical user interface for a network analysis method. The method includes processing a data trace captured from the network to determine a network topology, processing the data trace to determine errors in network conversation, processing the data trace to determine at least one metric for the network conversation, and displaying an interface screen to the user, the interface screen comprising a graphical topology representation, a determined error representation, and a representation of at least one determined metric.