Abstract: The present invention comprises the capture and display of arthropod, human and arthropod-based metadata, which is capable of tracking and displaying the metadata, which is time and location-based, in order to show migration paths of arthropods and/or the diseases they have the potential to carry. This real-time view can help predict future arthropod and disease based on various scenarios such as, but not limited to: increased exposure based on the following: a user's geo-location, date and/or time of year, carrier type, etc. These variables can then assist with the education, awareness and potential prevention of disease.

Abstract: A computer-implemented method for inferring genetic ancestry from low-coverage genomic data may include (i) generating a reference matrix representing a genetic reference panel in terms of dosages for given reference samples at given loci, (ii) decomposing the reference matrix via non-negative matrix factorization into an ancestral genotype matrix and an ancestral attribution matrix, (iii) resampling the reference matrix, (iv) deriving an ancestral alternate reads matrix that, when multiplied with the ancestral attribution matrix, approximates the resampled reference matrix, (v) deriving an ancestral attribution vector that, when multiplied with the ancestral alternate reads matrix, approximates a vector representing the test sample, and (vi) determining the genetic ancestry of the subject based on the ancestral attribution vector. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: At least one binding site of a protein is probed by calculating a set of molecular dynamic trajectories of a protein-ligand complex family. At least one script is applied to the molecular dynamic trajectories to form a set of tensors, and at least one second script is applied to the set of tensors to integrate the set of tensors with experimental binding data corresponding to the protein-ligand complex family to form a primary image of the binding site, thereby probing the binding site of the protein.

Abstract: Disclosed herein is Arrowland, a web-based software tool for inputting, managing and viewing multiomics data, such as transcriptomics, proteomics, metabolomics and fluxomics data in an interactive, intuitive and multiscale system.

Abstract: A system and method for extrapolating a set of specific representational identifiers that are represented or covered by a generic representational identifier found in a target document. Queries are constructed and performed on a corpus of source documents in which members of the extrapolated set of specific representational identifiers are compared to a database of representational data. By matching representational data in this way, any overlap between the generic representational data and specific instances of the generic representational identifier within the source documents is determined. In a more specific implementation, the system and method reduces the scope of the generic representational identifier such that the reduced scope generic representational identifier encompasses only novel specific representational identifiers.

Abstract: The disclosure discloses an alignment method, device, and system.

Abstract: Cell free nucleic acids from a test sample obtained from an individual are analyzed to identify possible fusion events. Cell free nucleic acids are sequenced and processed to generate fragments. Fragments are decomposed into kmers and the kmers are either analyzed de novo or compared to targeted nucleic acid sequences that are known to be associated with fusion gene pairs of interest. Thus, kmers that may have originated from a fusion event can be identified. These kmers are consolidated to generate gene ranges from various genes that match sequences in the fragment. A candidate fusion event can be called given the spanning of one or more gene ranges across the fragment.

Abstract: In some implementations, the present solution can determine a first structural vector of a first chemical based on a chemical structure of the first chemical. The system can also determine first target vector of the first chemical based on at least one gene target for the first chemical. The system can use the structural vector and the target vector to generate a toxicity predictor score for the first chemical.

Abstract: Computer-based computational tools for use in determining spatial charge distributions for biological systems that include one or more biological membranes are provided. At least one of the biological membrane includes at least two regions having different electrical properties, e.g., the biological membrane can include a pore having a higher conductivity than the surrounding bulk membrane. In other cases, the membrane can include non-active and active regions, with conservative fields acting at the non-active regions and a combination of conservative and non-conservative fields acting at the active regions. The non-conservative fields can, for example, originate from differences in ionic concentrations of the type which generate Nernst potential differences across membranes. Using the computer-based computational tools, charge distributions not previously known to exist have been discovered, e.g., ring-shaped charge distributions in the vicinity of an active pore.

Abstract: A method for predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance.

Abstract: A system for classifying cardiac rhythms is disclosed. The system includes one or more processors, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors. The program instructions include first program instructions to obtain data representative of a time series of the times between heartbeats. The program instructions further comprise second program instructions to segment the time series into a plurality of segments. The program instructions further comprise third program instructions to calculate a plurality of parameters corresponding to each of the 30-second segments. The program instructions further comprise fourth program instructions to analyze the obtained data and the calculated parameters using a plurality of multivariable algorithms for rhythm classification.

Abstract: The invention relates to a method and a system for providing a representation of synchronicity of electrical activation of heart tissue. The method includes obtaining a three-dimensional model of electrical activation of the heart. The three-dimensional model includes a mesh with a plurality of nodes, each node having associated therewith a time delay between stimulation of the heart at a stimulation site and activation of the heart at that respective node. For each node a stimulus site is defined at the location of that node. For each node a modified three-dimensional model of electrical activation of the heart resulting from stimulation at that node is determined. For each node a measure for heart activation synchronicity for the heart based on stimulation at that node is determined A heart synchronicity map is determined representing a three-dimensional model of the heart, indicating at each node the respective measure for heart activation synchronicity.

Abstract: A combined physiological sensor and methods for detecting one or more physiological characteristics of a subject are provided. The combined sensor (e.g., a forehead sensor) may be used to detect and/or calculate at least one of a pulse blood oxygen saturation level, a regional blood oxygen saturation level, a respiration rate, blood pressure, an electrical physiological signal (EPS), a pulse transit time (PTT), body temperature associated with the subject, a depth of consciousness (DOC) measurement, any other suitable physiological parameter, and any suitable combination thereof. The combined sensor may include a variety of individual sensors, such as electrodes, optical detectors, optical emitters, temperature sensors, and/or other suitable sensors. The sensors may be advantageously positioned in accordance with a number of different geometries.

Abstract: An embodiment in accordance with the present invention includes a novel informatics method for the integration of different variables or ontologies using an advanced unsupervised machine learning method which will be used to visualize factors not visible to the human observer. These factors can be unknown characteristics between imaging datasets and other factors which will provide insights into the structure of the data. This invention is called the Informatics Radiomics Integration System (IRIS), For example, using clinical data and radiological images, the present invention can determine the relationship between, the structure, clinical variables, histological variables and “distance or relationship” between each input parameter. This integration of information can be used to determine the association between the variables and the relationship to each other for improved diagnosis or for treatment response.

Abstract: A method for in vitro diagnosing asphyxia and disorders related thereto, a method of in vitro estimating duration of hypoxia in a patient subjected to asphyxia, and a method for in vitro monitoring of normoxic, hypoxic and hyperoxic conditions and/or normobaric and hyperbaric oxygen therapy, includes quantitatively detecting in a biological sample of a patient a plurality of asphyxia specific endogenous compounds which are selected from the group consisting of biogenic amines; carnitine-derived compounds; amino acids; bile acids; carboxylic acids; eicosanoids; lipids; precursors of cholesterol, cholesterol metabolites; prostanoids; and sugars.

Abstract: Examples of determining and using physiological response estimates with glucose monitoring and insulin dosing systems and methods are disclosed. For example, one method includes receiving a selection of food items from a predefined catalog of food items as being part of a meal associated with a user profile, the catalog including nutritional information corresponding to food items in the catalog; determining nutritional information of the meal based on the nutritional information of each selected food item; receiving a notification from a user interface that a user associated with the user profile has started eating the meal; receiving successive indications of the user's glucose levels; computing a physiological response estimate associated with the user profile and the meal based on the successive indications of the user's glucose levels and the nutritional information of the meal.

Abstract: The present application mainly relates to specific methods for inferring activity of a cellular signaling pathway in tissue and/or cells of a medical subject based at least on expression levels of one or more target gene(s) of the cellular signaling pathway measured in an extracted sample of the tissue and/or cells of the medical subject, an apparatus comprising a digital compressor configured to perform such methods and a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such methods.

Abstract: Methods for processing data using information gained from examining biological materials identifies and characterized probes for Single Nucleotide Polymorphisms and identifies Off Target Variants.

Abstract: The invention relates to a method and a system for providing a representation of synchronicity of electrical activation of heart tissue. The method includes obtaining a three-dimensional model of electrical activation of the heart. The three-dimensional model includes a mesh with a plurality of nodes, each node having associated therewith a time delay between stimulation of the heart at a stimulation site and activation of the heart at that respective node. For each node a stimulus site is defined at the location of that node. For each node a modified three-dimensional model of electrical activation of the heart resulting from stimulation at that node is determined. For each node a measure for heart activation synchronicity for the heart based on stimulation at that node is determined. A heart synchronicity map is determined representing a three-dimensional model of the heart, indicating at each node the respective measure for heart activation synchronicity.

Abstract: The present invention relates to a method comprising inferring activity of a PI3K cellular signaling pathway in a tissue and/or cells and/or a body fluid of a medical subject based at least on expression levels of one or more target gene(s) of the PI3K cellular signaling pathway measured in an extracted sample of the tissue and/or the cells and/or the body fluid of the medical subject. The present invention further relates to an apparatus comprising a digital processor configured to perform such a method, a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such a method, and a computer program comprising program code means for causing a digital processing device to perform such a method.