441 results about "Prevalence" patented technology

The identification of mutations that are present in a small fraction of DNA templates is essential for progress in several areas of biomedical research. Though massively parallel sequencing instruments are in principle well-suited to this task, the error rates in such instruments are generally too high to allow confident identification of rare variants. We here describe an approach that can substantially increase the sensitivity of massively parallel sequencing instruments for this purpose. One example of this approach, called “Safe-SeqS” for (Safe-Sequencing System) includes (i) assignment of a unique identifier (UID) to each template molecule; (ii) amplification of each uniquely tagged template molecule to create UID-families; and (iii) redundant sequencing of the amplification products. PCR fragments with the same UID are truly mutant (“super-mutants”) if ≧95% of them contain the identical mutation. We illustrate the utility of this approach for determining the fidelity of a polymerase, the accuracy of oligonucleotides synthesized in vitro, and the prevalence of mutations in the nuclear and mitochondrial genomes of normal cells.

Embodiments of the present invention provide services that enable individuals to rent and/or purchase content over the Internet and to receive it electronically, referred to below as “EZTakes.” This content may include movies, TV shows, music, games and other information typically distributed on CD/DVD. EZTakes leverages high-speed broadband Internet connections, peer-to-peer networking, digital rights management (DRM) and the growing prevalence of home computers that now typically feature large hard drives (e.g. 180+gigabytes) and have the capability to “burn” (i.e. create) DVDs and/or CDs. EZTakes bridges the gap between the home computer and the living room by using standard technologies that consumers already own and are already familiar with: home computers, DVD media, DVD players and the Internet. EZTakes also promotes the interests of content owners (e.g. movie production companies) by expanding their revenue opportunities through enabling them to distribute their content assets over the Internet. EZTakes also includes technical control mechanisms, such as digital watermarking, that could not easily be exploited when using physical DVD/CD distribution channels.

In a method, device and compute-readable medium for evaluating the prevalence of different postures of a patient, signals are sensed that indicate the posture of the patient during a monitoring period having a predetermined length, specific body postures of the patient are determined during this monitoring period from the sensed signals, the amount of time the patient spends in each of the specific postures is measured, information regarding each specific posture, and the associated amount of time spent in that posture, are stored, and the prevalence of the different postures of the patient is evaluated by classifying the stored information with respect to specific postures and the amount of time in each posture position.

The invention encompasses methods, including computer-implemented methods, of defining a virtual patient population and mapping the virtual patient population to a population of real patients. The invention utilizes virtual measures from one or more virtual patients, and data representative of multiple real subjects in a sample population, such as data collected from patients in a clinical trial or epidemiological study of a real population. The invention includes evaluating the similarity between the virtual patients and the real subjects, and assigning prevalences to the virtual patients based on the evaluation. The similarity can be assessed using some or all of the virtual measures of the virtual patients and some or all of the data obtained for the real subjects. Any of various goodness-of-fit measures can be used to evaluate the similarity or to help identify prevalences. The virtual patient population is defined as the virtual patients according to their respective prevalences.

The present invention provides a method of identifying origin of a metastasis of unknown origin by obtaining a sample containing metastatic cells; measuring Biomarkers associated with at least two different carcinomas; combining the data from the Biomarkers into an algorithm where the algorithm normalizes the Biomarkers against a reference; and imposes a cut-off which optimizes sensitivity and specificity of each Biomarker, weights the prevalence of the carcinomas and selects a tissue of origin determining origin based on highest probability determined by the algorithm or determining that the carcinoma is not derived from a particular set of carcinomas; and optionally measuring Biomarkers specific for one or more additional different carcinoma, and repeating the steps for additional Biomarkers.

A method of data interpretation from a multiplex cancer assay is described. The aggregate normalized score from the assay is transformed to a quantitative risk score quantifying a human subject's increased risk for the presence of cancer as compared to the known prevalence of the cancer in the population before testing the subject.

Systems and methods for detecting deceptive opinion spam. Certain embodiments include a classifier with improved accuracy for detecting deceptive opinion entries. A feature analysis of learned models reveals a relationship between deceptive opinions and imaginative writing. By modeling deception in a generative framework, the prevalence of deception in two popular online review communities may be determined. Deceptive opinion spam is a rapidly growing and widespread problem, especially in review communities with minimal posting requirements.

A method and system for medical analytics implemented on a computer and designed to aid a medical professional in diagnosing one or more diseases afflicting a patient. In contrast to prior art, the present method is based on using clinical data (m) that excludes subjective qualities of and also excludes prevalence of the one or more diseases (i). The method uses a knowledge base that contains disease (i) models exhibiting clinical data (m). Clinical data present (j) in the patient are input into the computer. Then, clinical data present (j) are matched with clinical data (m) in the knowledge base to enable the computer to compose a differential diagnosis list of ruled in diagnoses (k), where k=1 . . . n, for each of the disease (i) models that exhibits at least one clinical datum (m) that matches at least one clinical datum present (j) in the patient. In a key step, the computer computes a probability P(k) for each of the ruled in diagnoses (k) with the aid of a mini-max procedure that overcomes prior art limitations of the Bayes formulation and permits the analytics method to consider concurrent and competing diagnoses (k). Furthermore, the method composes pairs of clinical data present (j) and absent (r) in the patient to aid the medical professional in evaluating diagnoses and determining the most cost-effective clinical data to collect for conducting an effective and rapid diagnostic quest.

Given two heterogeneous entities, the prevalence of text data provides rich co-occurrence information for them. However, the co-occurrence only is noisy—not only may the co-occurrence just imply an accidental writing, but also it may just reflect the domain-specific common words. Only those strong relevance between entities supported by rich relevance contexts in data can indicate meaningful entity relationships. Strong relevance between heterogeneous entities are mined from their co-occurrences. Drug-disease therapeutic relationships are used as the example to demonstrate an application of this work.

System and method for detecting malicious activity in a computer network that includes hosts and connectors between the hosts. Network pathways to a plurality of investigated hosts are explored. A graph is formed based on results of the exploring of the network pathways. The graph represents topology of explored portions of the computer network, including connectors (e.g., communication links) between the investigated hosts and intermediary hosts situated along explored pathways that include the investigated hosts, and an indication of a prevalence of connectors in pathways to each of the investigated hosts. The prevalence of connectors along pathways to each of the investigated hosts is compared against a threshold, and any suspicious host situated along pathways to a common investigated host that is associated with a connector having a low prevalence that is below the prevalence threshold is identified. An access restriction can be associated with the suspicious host.

Embodiments of the invention include a method of collecting and reporting quality of life data from a patient. A patient may participate in a collection of surveys during the course of disease treatment that are automatically tailored to the patient's disease state using multidimensional tools to generate quality of life metrics. Reports are generated from the aggregate data to aid in treatment of the patient by enhancing patient/healthcare provider communications, patient education and by giving the healthcare provider reports on quality of life metrics correlated to the prescribed treatments, comorbid diseases, disease specific and medication specific review of systems and patient compliance with the prescribed treatments. Further, data from multiple patients are aggregated for reports that can provide evaluations of the effect of prescribed treatments, reasons for patient non-compliance with prescribed treatments and the prevalence and effect of off-label use of medications.

Methods for constructing multivariate predictive models for diagnosing diseases for which test methods are individually inadequate, including: (a) performing laboratory tests on a statistically significant test population of individuals; (b) generating a score function from a linear combination of test panel results;

• • (c) performing a receiver operating characteristic (ROC) regression or alternative regression technique of the score function using those tests and β coefficients calculated simultaneously to maximize the area under the curve (AUC) of the function and chosen simultaneously to generate the largest area below that portion of the ROC curve for the (1−t₀) quantile of individuals without disease, where t₀ represents the maximum acceptable false-positive rate; (d) calculating individual pre-test disease odds; generating a diagnostic likelihood ratio of disease by determining the frequency of each individual's test score in the diseased population relative to the control population; and multiplying pre-test odds by the likelihood ratio to determine individual post-test disease odds; (e) converting a set of posttest odds into posttest probabilities for each potential multivariate methodology and creating an ROC curve for each methodology by altering posttest probability cutoff values; (f) comparing partial ROC areas generated by one or more regression techniques to determine the optimal methodology; and (g) dichotomizing the optimal methodology by finding that point on the ROC curve tangent to a line with slope (1−p) C/p·B, where p is population prevalence of disease, B is regret associated with failing to treat patients with disease and C is regret associated with treating a patient without disease.

The invention relates to a penaeus vannamei boone ecological culturing system, which comprises a high level intensive culturing area, a circulating water passage, a shellfish culturing area, a salt-resistant plant area and a water quality treatment area, wherein the high level intensive culturing area, the shellfish culturing area, the salt-resistant plant area and the water quality treatment area are communicated by the circulating water passage. Before the penaeus vannamei boone is put into the system, bdellovibrio bacteria liquid and nitrifying bacteria are added into water of the high level intensive culturing area. During culturing, the traditional Chinese medicine liquid is added into the high level intensive culturing area. The system has the advantages that a culturing water body can be recycled, so the drainage of sewage is reduced, and the pressure on the ecological environment is reduced; the body immunity of the penaeus vannamei boone is improved, and the possibility of the disease outbreak and prevalence of the penaeus vannamei boone is reduced; the shellfishes, aquatic plants, mangroves and seaweeds are put into the system, so the economic benefit of culturing is improved; the whole culturing process realizes the culturing production without using antibiotics, the green and environment-friendly effects of the produced penaeus vannamei boone are realized, the mouth feel is similar to the taste of wild shrimps, and the penaeus vannamei boone is popular in market.