145 results about "Genetic data" patented technology

This invention provides a process and system for a comprehensive surgical assist system, called a Therapy Imaging and Model Management System (TIMMS), which combines and integrates all of the necessary information and communication technology; workflow analysis, data processing and data synthesis; interactive interfaces between surgeon and mechatronic devices; and, cognitive agents; to provide comprehensive assistance and guidance throughout complex medical and surgical therapies, such as image guided surgery. The components of this invention, which are modular, scalable and may be distributed in location, act synergistically to provide functionality and utility that exceeds the sum of its individual parts.A method of performing surgery on a patient comprising the step of comparing a chosen patient's data to statistical data in a repository of patient data to develop a patient specific model, wherein the data comprises information from two or more sub databases selected from the group consisting of workflow data, electronic medical records, diagnostic data, biological data, measurement data, anatomical data, physiological data, genetic data, molecular data, imaging data, chemical data, clinical laboratory data, simulated data, coordinate data and surgical result and wherein the patient specific model aids in the preoperative, operative or post operative phase of surgery performed in real time on the patient.

Disclosed herein is a system and method for increasing the fidelity of measured genetic data, for making allele calls, and for determining the state of aneuploidy, in one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available. Genetic material from the target individual is acquired, amplified and the genetic data is measured using known methods. Poorly or incorrectly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related individuals. In accordance with one embodiment of the invention, incomplete genetic data from an embryonic cell are reconstructed at a plurality of loci using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without haploid genetic data from one or both parents. In another embodiment of the invention, the chromosome copy number can be determined from the measured genetic data of a single or small number of cells, with or without genetic information from one or both parents. In another embodiment of the invention, these determinations are made for the purpose of embryo selection in the context of in-vitro fertilization. In another embodiment of the invention, the genetic data can be reconstructed for the purposes of making phenotypic predictions.

A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In accordance with one embodiment of the invention, incomplete genetic data from an embryonic cell is reconstructed using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and / or genetic data taken from other related individuals. In accordance with another embodiment of the invention, incomplete genetic data from a fetus is acquired from fetal cells, or cell-free fetal DNA isolated from the mother's blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and / or genetic data taken from other related individuals. In one embodiment, the genetic data can be reconstructed for the purposes of making phenotypic predictions. In another embodiment, the genetic data can be used to detect for aneuploides and uniparental disomy.

Disclosed herein is a system and method for increasing the fidelity of measured genetic data, for making allele calls, and for determining the state of aneuploidy, in one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available. Genetic material from the target individual is acquired, amplified and the genetic data is measured using known methods. Poorly or incorrectly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related individuals. In accordance with one embodiment of the invention, incomplete genetic data from an embryonic cell are reconstructed at a plurality of loci using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without haploid genetic data from one or both parents. In another embodiment of the invention, the chromosome copy number can be determined from the measured genetic data of a single or small number of cells, with or without genetic information from one or both parents. In another embodiment of the invention, these determinations are made for the purpose of embryo selection in the context of in-vitro fertilization. In another embodiment of the invention, the genetic data can be reconstructed for the purposes of making phenotypic predictions.

Disclosed herein is a system and method for increasing the fidelity of measured genetic data, for making allele calls, and for determining the state of aneuploidy, in one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available. Poorly or incorrectly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related individuals. In accordance with one embodiment, incomplete genetic data from an embryonic cell are reconstructed at a plurality of loci using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without haploid genetic data from one or both parents. In another embodiment, the chromosome copy number can be determined from the measured genetic data, with or without genetic information from one or both parents.

A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, are disclosed. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In accordance with one embodiment of the invention incomplete genetic data is acquired from embryonic cells, fetal cells, or cell-free fetal DNA isolated from the mother's blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and / or genetic data taken from other related individuals.

A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, are disclosed. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In accordance with one embodiment of the invention, incomplete genetic data is acquired from embryonic cells, fetal cells, or cell-free fetal DNA isolated from the mother's blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and / or genetic data taken from other related individuals.

A method and system for migrating a computing environment from a source computing platform to a destination computing platform. A script defines at least one software system or application stored on the source computing platform. The script is parsed by a scripting engine to resolve specific user-selectable settings of each source software system or application. Genetic data is generated to represent the resolved settings of the source software systems and / or applications. The genetic data is then selectively applied to corresponding software systems or applications stored on the destination computing platform to automatically provide similar settings thereon.

Systems and methods are described herein for disease knowledge modeling and clinical treatment decision support, and the prioritization of possible treatment options based on tumor or other disease biomarkers. Disease or indication information, including identification of biomolecular entities associated with the indication may be culled through text data mining to create a knowledge model of the indication. In some embodiments, the knowledge model may comprise a network of associations between molecular entities, including such drug targets and biomakers, genes, pathways. The model may be combined with patient-specific variant information and historical treatment records to identify and prioritize treatment decisions and allow for the prediction of disease drivers and provide treatment options tailored to a patient's genetic data.

Disclosed herein is a system and method for increasing the fidelity of measured genetic data, for making allele calls, and for determining the state of aneuploidy, in one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available. Poorly or incorrectly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related individuals. In accordance with one embodiment, incomplete genetic data from an embryonic cell are reconstructed at a plurality of loci using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without haploid genetic data from one or both parents. In another embodiment, the chromosome copy number can be determined from the measured genetic data, with or without genetic information from one or both parents.

Disclosed herein is a system and method for increasing the fidelity of measured genetic data, for making allele calls, and for determining the state of aneuploidy, in one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available. Poorly or incorrectly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related individuals. In accordance with one embodiment, incomplete genetic data from an embryonic cell are reconstructed at a plurality of loci using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without haploid genetic data from one or both parents. In another embodiment, the chromosome copy number can be determined from the measured genetic data, with or without genetic information from one or both parents.

A method for conducting genetic research on medical data. The method includes the step of accessing a database storing a plurality of medical records associated with a plurality of individuals, each medical record including at least one unique identifier associated with a certain individual and medical data associated with the certain individual. The method also includes the steps of extracting from the database the medical data associated with at least a subset of the plurality of individuals and, for each individual of the subset, obtaining electronically stored genetic data associated with the respective unique identifier. Also, the method includes processing the extracted medical data and obtained genetic data for attempting to identify an association between particular genetic data and a particular medical condition.

A life expectancy management system which comprises: a storage means which is capable of storing data, such as genetic data, birth data, lifestyle data, pediatric health data, and adulthood health data; a means for altering the data based upon the occurrence of at least one event selected from the group consisting of: chronic and routine health events, emergency health events, pregnancy data and medical advancements; and a prediction modeling logic which provides a predetermined life expectancy that can be reduced by deviations from expectations which are calculated from the data and altered or adjusted data. Optionally, a means for providing recommended goals based upon the life expectancy predicted and the predetermined life expectancy.

The invention provides a vehicle identification data processing method. The method includes the steps of obtaining vehicle bus data through a vehicle bus, wherein the vehicle bus data include an engine identification code and further include at least one of vehicle bus configuration data, vehicle system configuration data, trip computer parameters, the vehicle bus type, the vehicle communication protocol category and vehicle delivery capacity; generating vehicle genetic data according to the combination of the vehicle bus data, uploading the vehicle genetic data to a data processing server, wherein the vehicle genetic data are used for vehicle identification. According to the vehicle identification data processing method, the vehicle genetic data uploaded to the data processing server have high uniqueness, vehicle identification can be achieved according to the vehicle genetic data so that different vehicles can be distinguished, and the method can be widely applied to various fields such as the traffic management field, the investigation field and the vehicle positioning field. The invention further provides a vehicle identification data processing device and system.

Method and system for preparing a personal genetic profile includes collecting genetic data from an individual, assigning the data to a coordinate system, storing the data, and providing access for retrieval by the individual from whom the genetic data were collected, after receipt of an Identifier that adequately authenticates the identity of the data requestor. Locations of genetic markers are provided as three-dimensional coordinates, described with matrix relationships that are consistent with the primary and secondary chemical structure of molecular constituents of a DNA chain for the individual.

The present invention generally relates to genetic profiling and genetic data-sharing and, more particularly, is concerned with a system and method for genetic profile imaging and for determining and sharing information about a person's socially relevant traits. The present invention provides a means by which a person can safely share information about his or her genetic makeup, where the information is related to normal functions and unrelated to disease or illness.

Described are computational methods to reconstruct the chromosomes (and genomes) of ancestors given genetic data, IBD information, and full or partial pedigree information of some number of their descendants.

Creation of a social genetics network that provides personal and business services includes: receiving non-genetic data and genetic data about a user and storing the non-genetic data and genetic data in a database; analyzing the genetic data and the non-genetic data to i) assign traits to the user based at least in part on phenotypic and / or genotypic relationships found in the genetic data and the non-genetic data, and ii) determine trait connections between the user and other users in the network based on a similarity of the traits that are common to the user and the other users; and generating and displaying on an electronic device a social genetics profile that includes at least a portion of the non-genetic data, at least a portion of the traits assigned to the user, and at least a portion of the trait connections of the user to the other users.

Described herein is a framework for predicting development of a cardiovascular condition of interest in a patient. The framework involves determining, based on prior domain knowledge relating to the cardiovascular condition of interest, a risk score as a function of patient data. The patient data may include both genetic data and non-genetic data. In one implementation, the risk score is used to categorize the patient into at least one of multiple risk categories, the multiple risk categories being associated with different strategies to prevent the onset of the cardiovascular condition. The results generated by the framework may be presented to a physician to facilitate interpretation, risk assessment and / or clinical decision support.

Disclosed herein are methods, systems, and media for managing health information that enable individuals to create a profile, associate fitness data, genetic data, and medical data and designate one or more recipient successors for all or part of their profile to create a health trust. Also disclosed herein are methods, systems, and media for providing a marketplace for health information by maintaining a database of profiles, each profile including personal information, fitness data, genetic data, and medical data for the individual, applying an algorithm to generate a monetary market value for each profile, enabling health data consumers to conduct a search of the database, and enabling the health data consumers to select identified profiles and subscribe to the selected profiles.

The present invention is directed to methods and systems for improving the efficiency of livestock production using genetic information obtained from the animal. The methods of the invention comprise obtaining a genetic sample from an animal or embryo, determining the genotype of the animal or embryo with respect to specific quality traits, grouping animals with like genotypes, and optionally, further sub-grouping animals based on like phenotypes. Based on the genotype, an animal is treated in a particular way. For example, uniform feeding regimens are designed for a particular group so as to maximize feed efficiencies and accurately predict slaughter times among like animals possessing a desired quality trait. Such methods include obtaining and maintaining the genetic data obtained from each animal, and optionally other data relating to the animal's health, condition or parentage, or to its herd, and providing this data to others through systems that are web-based, contained in a database, or attached to the animal itself such as by an implanted microchip.

A system and method are presented for identifying a suitable tissue donor for an intended tissue recipient. A database of individuals is provided that comprises, for each individual, genetic data parameters comprising hereditary parameters that play a role in tissue-typing for matching between donor and recipient and comprises genealogical data for a plurality of individuals including at least some of said individuals for whom the genetic data is provided in the database. A recipient tissue type (RTT) is determined for the intended tissue recipient. The database is searched for one or more individuals that have a degree of similarity to the RTT that satisfy predetermined criteria to thereby identify one or more pivot individuals. A search is conducted for a target group of target individuals that includes the pivot individuals and individuals that are genetically related to the pivot individuals, and output data indicative of search results is generated.

The present invention discloses the use of Allele-Specific-oligonucleotide (ASO) as a detection assay for human HLA classification. Using Reversed-Dot-Blotting format and flow through hybridization process, more efficient, faster and less expensive HLA classification can be achieved. A simplified procedure for HLA genotyping is also described. This invention further provides a Single Nucleotide Polymorphism (SNP)-based DNA fingerprining method for rapid and accurate genotyping, identification as well as DNA analyses of genetic data from human beings and different organisms. In addition this invention also discloses a new device for rapid and sensitive analyses of nucleic acids, proteins and other analysts for diagnosis.

The principles of the present invention provide methods and systems for processing personal biological data for real time or near real time application. An exemplary system includes a received reference genome and a received personal genome. The genomes are accessed over a network by one or more servers. Input from one or more sensors associated with an individual or remote from the individual is used in conjunction with the individual's genomic data or the results of the comparison of the individual's genetic data and the reference genome(s) to provide real-time or near real-time suggestions, recommendations, warnings and the like in view of the sensor data and genomic data. An exemplary method includes receiving the personal genome and optionally selecting a suitable reference genome. The system compares the personal genome to the reference genome, of parts thereof, for one or more selected genotype(s) and / or phenotype(s) corresponding to a condition of concern in order to determine the differences between the reference genome and the personal genome. A sensor corresponding either directly or indirectly to the selected condition of concern is selected and optimum values for the sensor are calculated. The sensor is placed in proximity with the individual and the output is monitored. Alerts and reporting are presented in response to the sensor output. The present invention concerns systems and methods for analysis of biological data and integration of such data into everyday life.

A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, and also for predicting likely phenotypic outcomes using mathematical models and given genetic, phenotypic and / or clinical data of an individual, and also relevant aggregated medical data consisting of genotypic, phenotypic, and / or clinical data from germane patient subpopulations. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects.

Method and system for preparing a personal genetic profile includes collecting genetic data from an individual, assigning the data to a coordinate system, storing the data, and providing access for retrieval by the individual from whom the genetic data were collected, after receipt of an Identifier that adequately authenticates the identity of the data requester. Locations of genetic markers are provided as three-dimensional coordinates, described with matrix relationships that are consistent with the primary and secondary chemical structure of molecular constituents of a DNA chain for the individual.

The invention relates to a gene classification method and system based on clustering and random forest algorithms and belongs to the technical field of biological information. The method comprises a step of acquiring gene sample data, clustering the acquired gene sample data by using the clustering algorithm to obtain a cluster center, and supplementing a training sample set with an obtained cluster center set, a step of adjusting the number of fixed decision tree random description attributes in a traditional random forest algorithm to a random value, wherein on one hand, strong decision trees in a decision tree set are kept, on the other hand, the number of average random description attributes of the decision tree set is reduced, thus the correlation between the decision trees is further reduced, and a step of predicting genetic data to be classified by using each decision tree in a random forest model. According to the method and the system, the cluster center obtained through theclustering algorithm is taken as artificial data to expand the training set of the random forest model, thus the random forest model is fully trained, the obtained classification model has high precision, and the accuracy of the classification of genetic data is improved.