Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: Disclosed are compositions and methods to detect proteins associated with Head and Neck Cancer, generally, or more particularly, biomarkers of Head and Neck Squamous Cell Carcinoma (HNSCC). Such markers may be useful to allow individuals susceptible to HNSCC to manage their lifestyle and/or medical treatment to avoid further progression of disease.

Abstract: Disclosed are methods and systems for the analysis activity of enzyme disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13 (ADAMTS13) in a sample. The methods and systems disclosed herein can be useful for diagnosis of thrombotic thrombocytopenic purpura in a patient.

Abstract: Disclosed herein are methods and systems for rapid detection of antibiotic resistance of a microorganism in a sample. A modified recombinant phage is also disclosed which comprises an indicator gene in the late gene region. The specificity of infectious agents allows a specific microorganism to be targeted, and an indicator signal may be amplified to optimize assay sensitivity.

Abstract: Provided herein are methods for assessing risk of infection or cardiovascular disease (CVD) in a subject with an inflammatory disease, e.g., rheumatoid arthritis. The methods include performing immunoassays to generate scores based on quantitative data for expression of biomarkers relating to inflammatory biomarkers with or without additional clinical variables to assess infection and CVD risk. Also provided are uses of inflammatory biomarkers for guiding treatment decisions.

Abstract: Disclosed are compositions and methods to detect proteins associated with Head and Neck Cancer, generally, or more particularly, biomarkers of Head and Neck Squamous Cell Carcinoma (HNSCC). Such markers may be useful to allow individuals susceptible to HNSCC to manage their lifestyle and/or medical treatment to avoid further progression of disease.

Abstract: A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

Abstract: The present disclosure relates to Fragile X Syndrome (FXS) clinical testing, and in particular to an FXS AGG interruption polymerase chain reaction (PCR) assay and an AGG interruption genotyping algorithm for implementation into clinical testing. Particularly, aspects are directed to obtaining raw data from the FXS assay performed on a sample, iteratively searching the raw data and identifying one or more AGG peaks on the first allele using a first set of search spaces determined based on an expected AGG peak size, determining a number of CGG repeats downstream of a final AGG interruption and a number of CGG repeats preceding a first AGG interruption on the first allele based on the one or more AGG peaks, and generating an AGG genotype for the first allele based on the number of CGG repeats downstream of the final AGG interruption and the number of CGG repeats preceding the first AGG interruption.

Abstract: Methods are provided for a sensitive and specific assay for the determination of viral load and genotyping of RSV in a biological sample. Compositions and kits for use in the methods also are provided, including optimized primers for the amplification of and detection of the RSV open reading frames from subtypes A and B, and probes for distinguishing between the subtypes. Also provided are methods for amplifying and sequencing an open reading from of an RSV F protein, and compositions and kits for use in the methods.

Abstract: The present disclosure relates to techniques for using machine-learning models to predict an animal health result from laboratory test monitoring. Particularly, aspects are directed to obtaining sets of data for a plurality of animal subjects over a time period. The sets of data include clinical observation data, body weight measurement data, outcome status data, or any combination thereof. The sets of data are processed into a training set of numerical values. A machine-learning model is trained on the training set to predict whether health of an animal subject is normal, veterinary attention for the animal subject is likely required in an upcoming time period, or an unplanned death outcome for the animal subject is likely in an upcoming time period. The machine-learning model is output.

Abstract: A method is provided, the method including receiving a test result data, wherein said test result data represents a result of a test on a physical specimen, associating said test result data with a standard-of-care data, wherein said standard-of-care data represents a recommended course of action for the condition represented by the test result data, and transforming said specimen data and said standard-of-care data into a human-readable form. A system including a processor is provided, a software adapted to be executed on said processor, said software comprising instructions for receiving a test result data, wherein said test result data represents a result of a test on a physical specimen, associating said test result data with a standard-of-care data, wherein said standard-of-care data represents a recommended course of action for the condition represented by the test result data, and transforming said specimen data and said standard-of-care data into a human-readable form.

Abstract: Aspects and features relate to computationally reducing the size or complexity of a database in order to improve the speed and efficiency with which such a database is processed by a computing system in order to identify investigators for clinical trials. In some aspects, a processing device performs operations including identifying data sources for geographically clustered data containing corresponding descriptors for database records. The operations further include formatting the corresponding descriptors to produce standardized, corresponding descriptors, and matching each standardized, corresponding descriptor to produce a record score for the descriptor. The record scores can be combined to produce an overall score for each database record and the database record can be selected and written to the data store based on the overall score.

Abstract: The present invention relates to systems and methods of express tracking for patient flow management in a distributed environment. Particularly, aspects are directed to a computer implemented method that includes initiating a check-in process that includes prompting a user to scan an identifier, processing the identifier using a cascade machine-learning architecture comprising of a multi-task convolutional neural network model and a recurrent neural network model to obtain the classification of the identifier and member identification information, determining whether the user is known user based on the member identification information, when the user is a known user, verifying user data saved in the computing system associated with the identifier, once the user data is verified, determining whether the user has a scheduled appointment; and when the user has a scheduled appointment, checking the user in for the scheduled appointment.

Abstract: Disclosed are methods and systems for the isolation and detection of microbes from a sample. The use of binding agents for isolation of a microbe of interest from a sample are described. In certain embodiments, the methods use ribosome-based and/or bacteriophage-based amplification of the signal in detection of bacteria and other microorganisms. For example, embodiments of the present invention can achieve total amplification of at least 10,000 from a single infected cell.

Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.

Abstract: Disclosed herein are methods and systems for rapid detection of microorganisms in a sample. A genetically modified bacteriophage is also disclosed which comprises an indicator gene in the late gene region. The specificity of the bacteriophage, such as Salmonella-specific bacteriophage, allows detection of a specific microorganism, such as Salmonella spp. and an indicator signal may be amplified to optimize assay sensitivity.

Abstract: The methods and systems may include LC-MS/MS. For example the method may include obtaining MS/MS data for a predetermined MS/MS transition for THC and/or at least one THC metabolite and CBD and/or at least one CBD metabolite, and determining a ratio of the amount of the CBD and/or at least one CBD metabolite to the amount of the THC and/or at least one THC metabolite for the biological sample. In certain embodiments, the methods and/or systems are used to distinguish CBD from THC use in a subject.

Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.

Abstract: Disclosed herein are compositions, methods, kits and systems for rapid detection of microorganisms using a reproduction-deficient indicator bacteriophage. The specificity of such reproduction-deficient indicator bacteriophage for binding and infecting particular microorganisms of interest allows targeted and sensitive detection of a microorganism of interest.

Abstract: A method and device performing the method for estimation of cell count, such as sperm cell count, is disclosed. The device may be a kit including a cartridge configured to hold fluid, such as seminal fluid, and an instrument configured to centrifuge the cartridge. The cartridge and instrument are configured such that, during operation or centrifugation, they are securely attached to each other. The cartridge has a component with a defined cross-sectional volume. The defined cross-sectional volume is used to mark the component with markings, allowing a user of the device to read the markings and estimate cell volume and, thus, concentration. Various embodiments of the device are disclosed.