801 results about "FARR assay" patented technology

An unsupervised statistical analytics approach to detecting fraud utilizes cluster analysis to identify specific clusters of claims or transactions for additional investigation, or utilizes association rules as tripwires to identify outliers. The clusters or sets of rules define a “normal” profile for the claims or transactions used to filter out normal claims, leaving “not normal” claims for potential investigation. To generate clusters or association rules, data relating to a sample set of claims or transactions may be obtained, and a set of variables used to discover patterns in the data that indicate a normal profile. New claims may be filtered, and not normal claims analyzed further. Alternatively, patterns for both a normal profile and an anomalous profile may be discovered, and a new claim filtered by the normal filter. If the claim is “not normal” it may be further filtered to detect potential fraud.

An apparatus and method for detecting a fraud or fraud attempt in a captured interaction. The method comprising a selection step in which interactions suspected as capturing fraud attempts are selected for further analysis, and assigned a first fraud probability, and a fraud detection step in which the voice is scored against one or more voice prints, of the same alleged customer or of known fraudsters. The first fraud or fraud attempt probability is combined with the result of the scoring of the fraud detection step, to generate a total fraud or fraud attempt probability. If the total fraud or fraud attempt probability exceeds a threshold, a notification is issued. The selection, scoring and combination thereof are performed using user-defined rules and thresholds.

A collection agent monitors a mobile network for data samples containing executable code. The collection agent accepts executables and forwards them to a sample collection center for further analysis, reporting, or in some instances initiating one or more mitigating actions. Depending on the network protocol being monitored, the collection agent responds to connection attempts from nearby mobile devices.

A system and method for obtaining, storing, processing and utilizing immunologic information of individuals and populations is presented. In exemplary embodiments of the present invention, a biological sample can be taken from one or more individuals and the sample submitted to one or more panels of assays. The results of the assays can be stored and analyzed, and such analysis can include (i) calculating derived quantities which take the results of the assays as inputs, and (ii) submitting the results and the derived quantities to a set of rules, each of which has a defined output state. In exemplary embodiments of the present invention, based upon the output state of the rules, an appropriate recommendation as to one or more immunization or other interventions can be generated and incorporated with provider and patient reminders. In exemplary embodiments of the present invention the results of the assays and the recommendation, as well as additional information specific to the individual can be stored for further analysis. In exemplary embodiments of the present invention the assay panel or panels can be chosen as a function of a defined demographic group or enterprise affinity into which the individual corresponds. In exemplary embodiments a database can be maintained for storing and further processing of all immunologic informatics collected according to the methods of the present invention, and can be further processed or used to optimize the delivery of products and/or services in various commercial, research and governmental contexts.

A human assisted method of debugging training data used to train a machine learning classifier is provided. The method includes obtaining a classifier training data set. The training data set is then debugged using an integrated debugging tool configured to implement a debugging loop to obtain a debugged data set. The debugging tool can be configured to perform an estimation and simplification step to reduce data noise in the training data set prior to further analysis. The debugging tool also runs a panel of prediction-centric diagnostic metrics on the training data set, and provides the user prediction based listings of the results of the panel of prediction-centric diagnostic metrics.

According to one embodiment, a virtualized malware detection system is integrated with a virtual machine host including a plurality of virtual machines and a security virtual machine. Logic within the virtual machines are configured to perform a dynamic analysis of an object and monitor for the occurrence of a triggering event. Upon detection of a triggering event within a virtual machine, the logic within the virtual machine provides the security virtual machine with information associated with the triggering event for further analysis. Based on the further analysis, the object may then be classified as “non-malicious,” or “malicious.”

A method for removing motion artifacts from devices for sensing bodily parameters and apparatus and system for effecting same. The method includes analyzing segments of measured data representing bodily parameters and possibly noise from motion artifacts. Each segment of measured data may correspond to a single light signal transmitted and detected after transmission or reflection through bodily tissue. Each data segment is frequency analyzed to determine up to three candidate peaks for further analysis. Each of the up to three candidate frequencies may be filtered and various parameters associated with each of the up to three candidate frequencies are calculated. The best frequency, if one exists, is determined by arbitrating the candidate frequencies using the calculated parameters according to predefined criteria. If a best frequency is found, a pulse rate and SPO₂ may be output. If a best frequency is not found, other, conventional techniques for calculating pulse rate and SpO₂ may be used. The above method may be applied to red and infrared pulse oximetry signals prior to calculating pulse rate and/or pulsatile blood oxygen concentration. Apparatus and systems disclosed are configured to perform methods disclosed according to the invention.

The present invention provides a method and apparatus for characterising a path between a source host and a destination host, including characterisation of each segment of the network path between the source host and destination host. The present invention comprises a first stage of data collection, wherein sampling of a network path is enabled by means of sending and receiving specific predetermined ordered groups of packets that can vary in size, number and protocol, wherein all packets are sent from the source host and addressed to the destination host. These ordered groups of packets include strategically arranged marker packets and load packets, wherein the load packets are typically expired at a predetermined node between the source host and destination host, and the marker packets complete their journey to the destination. After expiry of the load packets of a particular ordered group of packets, the marker packets associated therewith provide a means for capturing information relating to network characteristics up to the expiry of these load packets. Subsequent analysis of the collected information enables the characterisation of each segment along a network path between the source host and destination host. The present invention can incorporate a further analysis of the collected information performing a correlation between the characteristics of the ordered groups of packets and the collected information, thereby enabling a means for the adjustment of the characteristics of the ordered groups of packets used during sampling that can result in an optimisation of the sampling and characterisation of the network path.

A medical device identifies a hemodynamically unstable arrhythmia based upon optical hemodynamic sensor signals. The optical hemodynamic sensor includes a light source for transmitting light corresponding to first and second wavelengths through a blood perfused tissue of a patient and a light detector for generating optical signals corresponding to an intensity of the detected light at the first and second wavelengths. At a low motion period for the patient, optical signals are obtained from the optical hemodynamic sensor and are analyzed to determine a baseline motion level for the patient. Subsequent signals obtained from the optical hemodynamic sensor are compared to the baseline motion levels, with only those signals corresponding to periods where motion does not exceed the baseline level of motion being further analyzed to determine if they are consistent with a hemodynamically unstable arrhythmia.

An automated banking machine (10) includes a user interface (12) including an opening (20). Users of the machine deliver and receive individual sheets and stacks of sheets to and from the machine through the opening. Stacks of sheets may include sheets such as notes, checks or other documents. Stacks input to the machine may include mixtures of various types of sheets. The machine operates to receive notes, process checks and perform other operations. Notes received in the machine and assessed as valid may be recycled and dispensed to other users. Notes assessed by the machine as being of questionable validity may be marked with a removable mark and subjected to further analysis. Checks processed by the machine may be imaged by an imaging device, cancelled and stored in the machine or alternatively returned to a user. Documents produced by the machine such as receipts, checks or money orders as well as notes dispensed from the machine may be assembled into a stack within the machine and delivered from the machine through the opening.

The present invention provides novel methods for reducing the complexity of preferably a genomic sample for further analysis such as direct DNA sequencing, resequencing or SNP calling. The methods use pre-selected immobilized oligonucleotide probes to capture target nucleic acid molecules from a sample containing denatured, fragmented (genomic) nucleic acids for reducing the genetic complexity of the original population of nucleic acid molecules.

The present invention relates to methods and compositions for use in treatment of patients with autoantibody positive disease. In a specific embodiment, the present invention relates to a method of treating a patient that has an ANA titer of 1:80 or greater and/or greater than or equal to 30 IU/ml of anti-dsDNA antibodies in his/her blood plasma or serum comprising administering a therapeutically effective amount of an immunomodulatory agent, such as an antagonist of Neutrokine-alpha. Additionally provided is a method of reducing the frequency and/or quantity of corticosteroid administration to patients. In preferred embodiments, the patient has systemic lupus erythematosus. Methods for determining if a lupus patient is responding to medical treatment are also provided.

The disclosure provides methods of capturing target nucleic acids (e.g., gene or gene fragments) onto a solid support for further analysis. The disclosed methods utilize a capture probe that selectively circularizes only the target nucleic acid. Following the circularization of the target, the linear, non-target, nucleic acids are removed from the sample. Next, the circularized target is linearized and bound to a solid support. To allow for linearization, the capture probe may include a cleavage site that can be a noncanonical nucleotide(s) (e.g., uracil in DNA) and/or a rare-cutter site (e.g., the Not I restriction site). In some embodiments, the target nucleic acid is captured onto a support without an intermediate amplification step.

The present invention is a method and system for measuring a set of shopper behavior metrics that represent the strength of a product category or a group of categories in the performance of a store area. A set of rating parameters are defined in order to provide a unified and standardized rating system. The rating system represents the effectiveness of the product category in a store area. The metrics are defined in a manner that is normalized so that they can be used across different types of product categories. The datasets are measured per category or group of categories over time to identify how the strength has varied over time, and to monitor trends in the category performance. The measured datasets are further analyzed based on various demographic groups and behavior segments. The analysis facilitates a better understanding of the strength of the category for different shopper segments, which in turn can be applied for developing better store area optimization strategies.

The present invention relates to methods for detecting free floating nucleic acids, as present in not cellular bound nucleic acids in bodily fluids like plasma or serum fractions of human or animal blood or in any other tissue samples derived from the human or animal body in order to diagnose a cell proliferative disease. Specifically the invention relates to the detection of increased levels of nucleic acids in bodily fluids. Furthermore the invention allows to determine the source of the enriched DNA by measuring the ratio of DNA originating from a certain organ versus total DNA from other organs in a given bodily fluid sample by specifying the DNA's methylation pattern. This can be done with or without increasing the DNA concentration of a given biological sample. In a preferred embodiment a further analysis of this methylation pattern allows for the detection of the presence of tumourous or otherwise proliferative disease in said organ.

The present application is directed towards systems and methods for applying one or more rules that transform objects of an application from a previous instance of the application. Customized functions, objects, databases, and code of the instance of the application may be analyzed by an application transformation tool to identify one or more objects that have been modified. The modified objects may be further analyzed to detect if they are permissibly alterable. The application transformation tool may determine whether each of the permissibly alterable objects reference a standard interface of the application. The application transformation tool may apply one or more rules that transform objects to those permissibly alterable objects that do not reference the standard interface of the application.

Systems and methods are provided for locating an on-call doctor, specific to a patient's needs, who is readily available for a live confidential patient consultation using a network enabled communication device with a digital camera and microphone. The system facilitates customized matching of patients with doctors to provide higher quality and faster delivery of medical evaluation, diagnosis, and treatment. The systems and methods transmit results through a secure connection and manage a referral process whereby a referring doctor refers a patient to another provider, laboratory, facility, or store for a particular procedure, order, analysis, or care. The referrals may be based on specialties and availability. The system relates particularly to the fields of medicine, where doctors can perform online consultations and provide a diagnosis, treatment recommendations, recommendations for further analysis, triage and/or provide follow up on-call care.

Selected patterns of lights are displayed on a recreational conveyance such as a snowboard according to the motion of the board. A selection of patterns is stored in a processor memory, the motion of the board is measured (for example with accelerometers) and a pattern is selected from memory based on the measured motion. Then lights on the board are blinked on and off in the selected pattern. Accelerometer inputs are analyzed and a series of states is derived for each accelerometer axis. A series of states can be analyzed as a set to select a different pattern. Also, the magnitude of the states (such as duration, speed, or intensity) may affect the pattern selected. The process may be adaptive, so that the analyzing step further analyzes user weight or past snowboarding style to set adaptive thresholds for selecting patterns.

A security system and method for mass transit and mass transportation whereby high capacity mobile vehicles such as ships, buses, planes, trains and subways transporting large numbers of passengers or cargo, are continuously monitored and secured. Sensors are utilized to detect and alert the presence of radioactive or explosive materials on board as well as within close proximity of the vehicle. Sensors are also used to identify and track cargo and people, such as drivers, operators, employees, crew, and passengers, and provide continuous location and tracking thereof from the point of initial entry to the final point of exit. Additionally, a global positioning system (GPS) provides location data, and wireless data and telecommunications link provides two-way data and voice communication with any designated remote location by using one of several modes of wireless telecommunication. Cameras provide visual observation within designated viewable areas, and may be activated by any detection of motion, and are infrared or night vision capable allowing viewing even in extremely poor light conditions. DVR recording allow a huge amount of video content from the cameras to be digitally recorded, then played back later for further analysis. Finally, the Security System may optionally have an Internet Protocol (IP) address thereby allowing authorized persons to access the system from secured Internet connection.