223 results about "Population based" patented technology

The invention provides methods for sorting polynucleotides from a population based on predetermined sequence characteristics. In one aspect, the method of the invention is carried out by extending a primer annealed polynucleotides having predetermined sequence characteristics to incorporate a predetermined terminator having a capture moiety, capturing polynucleotides having extended primers by a capture agent that specifically binds to the capture moiety, and melting the captured polynucleotides from the extended primers to form a subpopulation of polynucleotides having the predetermined sequence characteristics. In another aspect, the method of the invention is carried out on a population of tagged polynucleotides so that after a subpopulation is selected, the members of the subpopulation may be simultaneously analyzed using the unique tags on the polynucleotides to convey analytical information to a hybridization array for a readout.

The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

An annuity is provided to an annuitant based on the performance of an investment. Assets of the investment are automatically reallocated over time and the annuity payment may change based on the performance of the automatically allocated assets. In some examples, the assets are automatically reallocated based on a demographic, which can include an age, a range of ages, and / or a gender.

The present invention includes a system and method for automatically extracting the demographic information from images. The system detects the face in an image, locates different components, extracts component features, and then classifies the components to identify the age, gender, or ethnicity of the person(s) in the image. Using components for demographic classification gives better results as compared to currently known techniques. Moreover, the described system and technique can be used to extract demographic information in more robust manner than currently known methods, in environments where high degree of variability in size, shape, color, texture, pose, and occlusion exists. This invention also performs classifier fusion using Data Level fusion and Multi-level classification for fusing results of various component demographic classifiers. Besides use as an automated data collection system wherein given the necessary facial information as the data, the demographic category of the person is determined automatically, the system could also be used for targeting of the advertisements, surveillance, human computer interaction, security enhancements, immersive computer games and improving user interfaces based on demographic information.

The present invention relates to a method, system and software arrangement for determining the co-associations of allele types across consecutive loci and hence for reconstructing two haplotypes of a diploid individual from genotype data generated by mapping experiments with single molecules, families or populations. The haplotype reconstruction system, method and software arrangement of the present invention can utilize a procedure that is nearly linear in the number of polymorphic markers examined, and is therefore quicker, more accurate, and more efficient than other population-based approaches. The system, method, and software arrangement of the present invention may be useful to assist with the diagnosis and treatment of any disease, which has a genetic component.

The present invention relates to a method, system and software arrangement for determining the co-associations of allele types across consecutive loci and hence for reconstructing two haplotypes of a diploid individual from genotype data generated by mapping experiments with single molecules, families or populations. The haplotype reconstruction system, method and software arrangement of the present invention can utilize a procedure that is nearly linear in the number of polymorphic markers examined, and is therefore quicker, more accurate, and more efficient than other population-based approaches. The system, method, and software arrangement of the present invention may be useful to assist with the diagnosis and treatment of any disease, which has a genetic component.

Data processing methods facilitate an exchange, between healthcare providers and patients or other users, of structured data for objective health signs and subjective symptoms from the patient or caregiver during a pre-visit and / or follow-up period of care; standardized data-informed Loop protocols for following health conditions; data-informed ARC OF RECOVERY profiles that represent population-based recovery standards for signs, symptoms, or composites; automated alerts, based on analytics or machine learning, to warn health care providers regarding impending treatment failures or worsening of conditions. Patients in pre-visit or follow-up stages of healthcare respond to questions structured by a provider for objective signs and subjective symptoms, and may view questions and responses with associated alerts or status updates in a consolidated display that provides patient graphic images and comments about conditions. Aspects of pre-visit or follow-up care are Tracker historical graphical displays for evaluation by the physician against expected profiles, protocols or other standards.

The present invention is a method and system for characterizing physical space based on automatic demographics measurement, using a plurality of means for capturing images and a plurality of computer vision technologies. The present invention is called demographic-based retail space characterization (DBR). Although the disclosed method is described in the context of retail space, the present invention can be applied to any physical space that has a restricted boundary. In the present invention, the physical space characterization can comprise various types of characterization depending on the objective of the physical space, and it is one of the objectives of the present invention to provide the automatic demographic composition measurement to facilitate the physical space characterization. The demographic classification and composition measurement of people in the physical space is performed automatically based on a novel usage of a plurality of means for capturing images and a plurality of computer vision technologies on the captured visual information of the people in the physical space. The plurality of computer vision technologies can comprise face detection, person tracking, body parts detection, and demographic classification of the people, on the captured visual information of the people in the physical space.

The invention provides methods for sorting polynucleotides from a population based on predetermined sequence characteristics. In one aspect, the method of the invention is carried out by extending a primer annealed polynucleotides having predetermined sequence characteristics to incorporate a predetermined terminator having a capture moiety, capturing polynucleotides having extended primers by a capture agent that specifically binds to the capture moiety, and melting the captured polynucleotides from the extended primers to form a subpopulation of polynucleotides having the predetermined sequence characteristics. In another aspect, the method of the invention is carried out on a population of tagged polynucleotides so that after a subpopulation is selected, the members of the subpopulation may be simultaneously analyzed using the unique tags on the polynucleotides to convey analytical information to a hybridization array for a readout.

Disclosed herein are demographic based content delivery systems and associated methods that automatically and non-invasively detect information regarding one or more persons within a designated viewing area. In embodiments of the systems and methods, two different automatic viewer identification and demographic classification technologies may be utilized, either alone or on combination. The technologies include image recognition technologies that utilize computer driven image and pattern recognition analysis algorithms and radio frequency identification tagging and reading technologies. Data collected from either one of or both of the two technologies is used to feed a demographic classification algorithm which then delivers different multimedia content based upon the determination of the algorithm. The embodiments of the invention may therefore be advantageously utilized to market in real time to consumers at the point of sale.

The embodiments of the present invention disclose a method and apparatus for joint optimization of multi-UAV task assignment and path planning. The method comprises: obtaining the location information of a plurality of UAVs and a plurality of target points, the dispersion of groundspeed course angle, and motion parameters of each UAV and wind field; constructing an initial population based on the location information, the dispersion of groundspeed course angle and a preset genetic algorithm; determining the flight status of each UAV and the flight time taken by each UAV to complete a path segment of the corresponding Dubins flight path based on the initial population and the motion parameters, obtaining the total time taken by all the UAVs corresponding to each chromosome to complete the task based on the flight time of the path segment; and subjecting the chromosomes in the initial population to crossover and mutation based on the genetic algorithm and, when a predetermined number of iterations is reached, selecting the optimal Dubins flight path as the joint optimization result. In the embodiments of the present invention, the UAV flight path planning problem is combined with the actual flight environment of the UAV, so that the optimal flight path obtained is superior to the solution in which the UAV speed is constant.

A method is provided for selecting fields of an electronic form for automatic population with candidate text segments. The candidate text segments can be obtained by capturing an image of a document, applying optical character recognition to the captured image to identify textual content, and tagging candidate text segments in the textual content for fields of the form. The method includes, for each of a plurality of fields of the form, computing a field exclusion function based on at least one parameter selected from a text length parameter, an optical character recognition error rate, a tagging error rate, and a field relevance parameter; and determining whether to select the field for automatic population based on the computed field exclusion function.

Methods and apparatuses are described for optimizing an interrogation of a radio frequency identification (RFID) tag population. An RFID reader sets an initial number of time slots used to interrogate a population of tags. The reader does not previously know the size of the tag population. The reader monitors responses of tags for one or more time slots of an interrogation round to collect statistical data, estimates a number of tags in the population based on the statistical data, and determines a new number of time slots based on the estimated number of tags. The reader adjusts the number of time slots accordingly for a subsequent interrogation round. The reader may repeat this process as needed to converge closer to the actual number of tags in the population, and an acceptable number of time slots, to enhance an efficiency of the process of interrogating the tag population.

A method for assessing and analyzing one or more drugs, adverse effects and associated risks, and patient characteristics resulting from the use of at least drug of interest is disclosed. The method comprises the steps of selecting one or more cases for analysis, said cases describing the behavior between at least one drug of interest and a patient genotype; profiling statistically derived values from multiple cases related to the safety of the at least one drug, wherein at least one filter is employed for deriving said values; at least one data mining engine; and an output device for displaying the analytic results from the data mining engine. A system for performing the method is likewise disclosed.

The present invention uses market research data to access nutrient intakes of a population. Dietary collection using 24-hour recall generally does not reflect a pattern of “usual” intake behavior for a population group. To determine the impact of food consumption patterns on nutrient intake, a unique methodology using 14-day food diary was developed. The food industry has traditionally used detailed food records to track the consumption of specific branded food items and monitor the growth of food categories, but some of the most valuable databases available concerning longer-term (e.g., 14-day) food intake do not record portion size on an individual consumption basis. Other databases based on shorter-term (24-hour recall) survey periods record portion sizes but are not very representative of eating habits. The preferred exemplary embodiment integrates two such databases with a third data set providing detailed nutrient information for each of a wide variety of foods consumed to provide a combined database for processing nutrient intake reports using statistical analysis. This flexible system allows the user to categorize the population based on “usual” consumption of food categories, specific foods and / or specific brands of foods and determine dietary differences versus their “non-using” counterparts.

A method in a computing environment for determining the work for one or more patients is provided. The method includes obtaining data for one or more patients directly from the primary clinical information system and utilizing the data to calculate work for the one or more patients. A method in a computing environment for determining the work for a population of patients is provided. The method comprises utilizing data obtained directly from the primary clinical information system to calculate a work score for each patient in a patient population and calculating staffing needs for the population based on the work scores obtained for the patients in the patient population.

A preferred embodiment comprises providing heath management services by collecting member assessment data, collecting member biometric data, and generating risk factors for one or more members based upon the member assessment data and the member biometric data. The risk factors are analyzed using a set of rules to stratify the member population based upon risk and wellness coaching and outreach services are provided the population based upon risk levels.

The invention provides a system and methods for the determination of the pharmacogenomic phenotype of any individual or group of individuals, ideally classified to a discrete, specific and defined pharmacogenomic population(s) using machine learning and population structure. Specifically, the invention provides a system that integrates several subsystems, including (1) a system to classify an individual as to pharmacogenomic cohort status using properties of underlying structural elements of the human population based on differences in the variations of specific genes that encode proteins and enzymes involved in the absorption, distribution, metabolism and excretion (ADME) of drugs and xenobiotics, (2) the use of a pre-trained learning machine for classification of a set of electronic health records (EHRs) as to pharmacogenomic phenotype in lieu of genotype data contained in the set of EHRs, (3) a system for prediction of pharmacological risk within an inpatient setting using the system of the invention, (4) a method of drug discovery and development using pattern-matching of previous drugs based on pharmacogenomic phenotype population clusters, and (5) a method to build an optimal pharmacogenomics knowledge base through derivatives of private databases contained in pharmaceutical companies, biotechnology companies and academic research centers without the risk of exposing raw data contained in such databases. Embodiments include pharmacogenomic decision support for an individual patient in an inpatient setting, and optimization of clinical cohorts based on pharmacogenomic phenotype for clinical trials in drug development.

Various embodiments of the presently described invention provide a method for evaluating correlations between genetic variations and clinical information. The method includes normalizing one or more of genotypic data and clinical data associated with each of a plurality of patients in a population of patients, receiving one or more clinical conditions from a user, selecting a subset of patients from the population based on the clinical conditions, and determining one or more correlations between at least one of the clinical conditions and one or more of the genotypic and clinical data for the patient subset.

A system and method for inferring informational goals and preferred level of details in answers in response to questions posed to computer-based information retrieval or question-answering systems is provided. The system includes a query subsystem that can receive an input query and extrinsic data associated with the query and which can output an answer to the query. The query subsystem accesses an inference model to retrieve conditional probabilities that certain informational goals are present. One application of the system includes determining a user's likely informational goals and then accessing a knowledge data store to retrieve responsive information. Determining a user's likely informational goals can include inferring a desired level of detail of answers to the query based on the application being employed by the user at the time the query is submitted. The system includes a natural language processor that parses queries into observable linguistic features and embedded semantic components that can be employed to retrieve the conditional probabilities from the inference model. The inference model is built by employing supervised learning and statistical analysis on a set of queries suitable to be presented to a question-answering system. Such a set of queries can be manipulated to produce different inference models based on demographic and / or localized linguistic data.

The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

An information system having various databases (30-40 and 50-52) for storing data relating to products or services, and risk data models or propensity models. A web server (48) provides web pages (20) through which a user is able to express choices, which result in querying the product database (32) to provide a raw result set, and filtering of the raw result set based on a risk model to eliminate results not having a likelihood of a successful outcome. The filtered result set is displayed. A propensity model database may be provided for storing data modelling the propensity of an outcome in relation to related products or services, e.g. based upon demographic or lifestyle data. A tracking tool may be used to define past behaviour of the user.

Methods and compositions for tracking or monitoring uptake of siRNA by mammalian cells are provided. The methods and compositions may be used to monitoring the silencing activity of the internalized siRNA. The compositions contain an siRNA, an optically or magnetically detectable nanoparticle such as a quantum dot and, optionally, a transfection reagent. Cells are contacted with an siRNA and an optically or magnetically detectable nanoparticle, optionally in the presence of a transfection reagent. Detection of internalized nanoparticles is indicative of siRNA uptake. The invention allows analysis, identification, processing, etc., of cells that have efficiently taken up siRNA. In one embodiment, cells are sorted into at least two populations based on the amount of siRNA taken up.

An algorithm and method to provide personal recommendations for nutrition based on preferences, habits, medical and activity profiles for users, and constraints. The algorithm can also be fed and takes into account real-time feedback from the user. The method allows creating a personal nutritional schedule based on a set of constraints, which are solved using an optimization algorithm to find the diet best fitting each user. The method also includes analyzing a single user by applying various statistical techniques, enabling the algorithm to infer the user's preferences and updating of the constraints, analyzing and clustering of the general user population based on statistical principles, giving the algorithm insightful information and allowing improved performance by means of “machine-learning,” and creating a list of recommended food items / recipes to help users live a balanced, healthier lifestyle.

A method and system for batch scheduling uniform parallel machines with different capacities based on an improved genetic algorithm are provided. The method is to solve the batch scheduling problem of uniform parallel machines with different capacities. Jobs are distributed to machines by an improved genetic algorithm, and a corresponding batching strategy and a batch scheduling strategy are proposed according to the natural of the problem to obtain a fitness value of a corresponding individual; then, the quality of the solution is improved by a local search strategy; and, a crossover operation is performed on a population based on the fitness of the solution, and the population is continuously updated by repetitive iteration to eventually obtain an optimal solution.

Systems and methods to determine a demographic attribute of a likely occupant of a passing vehicle based on a license plate number of the vehicle are presented. A demographic attribute associated with a likely occupant of a passing vehicle is determined based on a license plate number identified with the vehicle. In response, media content targeted to the likely occupant of the passing vehicle is selected based on the demographic attribute. In some embodiments, the selected media content is presented within view of the occupant of the vehicle. In another aspect, a demographic profile of likely occupants of vehicles passing a particular location over a period of time is based on License Plate Recognition (LPR) information gathered at that location. Media content is selected for presentation based on the identified demographic profile.

A molecular marker-based method for monitoring and detecting cancer in humans. Aberrant methylation of gene promoters is a marker for cancer risk in humans. A two-stage, or "nested" polymerase chain reaction method is disclosed for detecting methylated DNA sequences at sufficiently high levels of sensitivity to permit cancer screening in biological fluid samples, such as sputum, obtained non-invasively. The method is for detecting the aberrant methylation of the p16 gene, O 6-methylguanine-DNA methyltransferase gene, Death-associated protein kinase gene, RAS-associated family 1 gene, or other gene promoters. The method offers a potentially powerful approach to population-based screening for the detection of lung and other cancers.

The present invention provides an approach for the simultaneous determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of potentiators of cellular activation allows for characterization of such pathways and cell populations.

Disclosed is a method including determining, by a computer based system for managing a rewards program, an assignment for transaction account data associated with a first transaction account. Thereafter, the first transaction account is assigned to a first population of a plurality of populations based on the transaction account data. Thereafter, an offer comprising an offer criteria is received from an offeror. Thereafter, the offer criteria is analyzed to identify a subset of the plurality of populations. The subset comprises the first population. Thereafter, the offer is communicated to the subset of the population.