Abstract: Disclosed is a FRET based assay and related products. The assay employs molecular imprinted polymers having a very high affinity for their target.

Abstract: According to an aspect, there is provided a method of sending a message to a subject, the method comprising obtaining (30; 502) measurements of one or more physiological characteristics of a subject over time; determining (32; 504) a psychological state of the subject for a plurality of time periods from the measurements; and in the event that it is determined that the subject is in a psychological state of interest in a first time period, sending (34; 514) a message to the subject in a time period subsequent to the first time period in which it is determined that the subject is not in the psychological state of interest.

Abstract: A control method and system for filtering power line interference is disclosed. The control method includes the following steps. First, ECG signals are pre-segmented and rectified; then the sinusoidal frequency, amplitude, and phase of the rectified segmented signals are extracted. These estimated sinusoidal parameters from each recorded channel are weighted by their individual signal to noise ratios before being averaged to achieve the optimal powerline frequency, amplitude, and phase. Based on these optimal sinusoidal parameters, the individual sinusoidal waveform is reconstructed and then is subtracted from the corresponding ECG segment, in order to obtain the clean ECG signals. This method of filtering the powerline interference through removal from recorded signals enables accurate measurement without any ringing effect that could lead to signal distortion issues.

Abstract: Embodiments of the present disclosure include a method, device and computer readable medium involving receiving image data of one or more coronary arteries, generating a binary segmentation indicating presence of calcium in the one or more coronary arteries from the image data, generating a branch density of the one or more coronary arteries, and assigning a coronary artery label from the branch density to the binary segmentation such that at least one indication of presence of calcium of the binary segmentation is labeled as present in a specific one of the one or more coronary arteries.

Abstract: Devices and methods for learning and/or predicting the self-reported pain improvement levels of osteoarthritis (OA) patients are provided. A device or apparatus can include a processor and a machine-readable medium in operable communication with the processor and having stored thereon an algorithm and a unique set of features. The algorithm and set of features can enable building one or more models that learn the self-reported pain improvement levels of OA patients.

Abstract: A method of selecting a plant variety for cultivation in a target area includes selecting a selection score function; estimating values of a first set of environmental parameters for a predefined future period of time for the target area and receiving a set of phenotype information including phenotypic trait measurements for a first sub-set of a plurality of plant varieties and a set o environmental parameters for said first sub-set. Furthermore, the method includes determining a prediction model for the phenotypic traits; using the prediction model to output predictions for phenotypic traits for the plurality of chosen plant varieties; using the selection score function to compute selection score values; and selecting at least one plant variety to be cultivated in the target area from the plurality of chosen plant varieties, based the computed selection score values of the plurality of chosen plant varieties.

Abstract: A system for identifying and evaluating a pocket of a protein includes performing a Voronoi tessellation and developing a Voronoi diagram of a surface of the protein. All alpha-spheres on the surface of the protein are identified. The alpha-spheres are filtered based on radius and remaining alpha-spheres are clustered into alpha-clusters. At least one alpha-cluster is selected for quantitative evaluation. Alpha-sphere contact atoms are determined for a plurality of interaction points of the pocket. A Delaunay triangulation of the four contact atoms of each interaction point is performed. A plurality of alpha-spaces for each interaction point are determined. An alpha-atom and an alpha-atom contact surface area (ACSA) of each interaction point is determined. The pocket is ranked, a pocket-fragment complementarity is determined, and the pocket is matched between various conformations of the proteins.

Abstract: Systems and methods for modeling a three-dimensional protein structure are disclosed. The method includes receiving a primary amino acid sequence of a three-dimensional protein, translating the primary amino acid sequence to a first vector, determining a per-residue conformation index for each amino acid residue in the primary amino acid sequence, determining a vector set for each amino acid residue in the primary amino acid sequence, and using the per-residue interaction vector set to generate a multi-dimensional matrix for the three-dimensional protein structure. The first vector includes a unique numerical descriptor value corresponding to each amino acid residue in the primary amino acid sequence. The vector set includes a plurality per-residue interaction factors corresponding to a plurality of conformation indexes for that amino acid residue.

Abstract: Systems and methods are provided for correlating alarms throughout a multi-layer network and visualizing alarm clusters in a display of an interactive Graphical User Interface (GUI) to enable a network operator to prioritize urgent network issues. In one embodiment, an interactive GUI includes a main display area configured to display one or more geometrical shapes representing one or more alarm clusters, respectively. Each alarm cluster may represent a potential root-cause event in a network. The interactive GUI also includes one or more interactive objects that, when selected by a user, provide additional information associated with the one or more alarm clusters.

Abstract: A method of diagnosing central nervous system injuries such as acquired brain injury (ABI) and/or acquired spinal cord injury (ASI), including mild TBI (concussion or blast wave), mild ASI (contusion, stretch or partial cord transection), non-TBI brain injury and/or non-TSI spinal cord injury in a subject (animal or human). The method includes (a) obtaining a biological test sample from the subject, identifying metabolites in the subject's sample using metabolomics thereby obtaining a subject's metabolite matrix and generating a subject's profile using the patient's metabolite matrix; and (b) using multivariate statistical analysis and machine learning to compare the subject's profile with predetermined set of profiles of CNS injuries and a predetermined set of profiles of controls to determine if the subject has a CNS injury.

Abstract: A computer-implemented method for predicting a conformation of a ligand docked into a protein is disclosed. According to some embodiments, the method may include determining one or more poses of the ligand in the protein, the poses being representative conformations of the ligand. The method may also include determining, using a neural network, energy scores of the poses. The method may further include determining a proper conformation for the docked ligand based on the energy scores.

Abstract: A method and system for generating and using a master entity associative data network. The master entity associative data network system includes data sources storing data entities. Each data entity is of a specific entity type having specific entity properties, associations to other data entities, and an assigned common identifier label. Also, the master entity associative data network system includes a data processor configured to extract data entities from the data sources and extract associations to other data entities. The data processor stitches the data entities to each other based on at least one or more of the extracted associations, specific entity properties, and the common identifier label to generate one or more master data entities.

Abstract: A method, software, database and system for determining an optimal treatment for an illness in an individual and for determining the impact (e.g., side effects and intended benefits) of the treatment in the individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.

Abstract: In one aspect, a computer-implemented automated flow synthesis platform configured to use an artificial intelligence (AI) engine is disclosed and includes a reaction chamber configured to synthesize a sequence, detectors configured to monitor the synthesis of the sequence in the reaction chamber, wherein the synthesis uses an automated flow process, and a computing device communicatively coupled to the detectors. The computing device receives measurements from the one or more detectors, wherein the measurements comprise a spectral profile at each coupling of each amino acid in the sequence, trains, using training data comprising the measurements, machine learning models to determine a synthesizing recipe that enables the sequence to be synthesized, wherein the synthesizing recipe comprises parameters used during the automated flow process to synthesize the sequence, and controls, using the synthesizing recipe, the synthesis of the sequence in the reaction chamber.

Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.

Abstract: Analysis of genetic disease progression may be provided. Data about a set of molecular status may be received. A dynamic prediction model of molecular interactions may be provided over time. The molecular statuses of the set over time may be determined using the dynamic prediction model. The determined molecular statuses may be clustered by applying an interaction-aware metric for the analysis of the genetic disease progression.

Abstract: Disclosed herein are compositions and methods suitable for treating acute leukemia by inhibiting ? ? ? stacking in the YEATS protein domain. YEATS protein domains are typically found in a variety of chromatin modification molecular complexes. Cancer cells are characterized by aberrant epigenetic landscapes and often exploit chromatin machinery to activate oncogenic gene expression programs. Quantitative analysis of the inhibitory activity of YEATS domain inhibitors by use of a fluorescence-based assay revealed that several of the tested inhibitors achieved 50% inhibition at the submicro/nanomolar level. As such, provided is the use of small molecule inhibitors that target the ENL YEATS domain to selectively kill leukemic MLL-r cells.

Abstract: The invention provides methods and apparatus for image processing that perform image segmentation on data sets in two- and/or three-dimensions so as to resolve structures that have the same or similar grey values (and that would otherwise render with the same or similar intensity values) and that, thereby, facilitate visualization and processing of those data sets.

Abstract: Described herein is the use of a visible near infrared (VNIR) hyperspectral imaging system as a non-invasive diagnostic tool for early detection of Alzheimer's disease (AD). Also described herein is the use of a VNIR hyperspectral imaging system in high throughput screening of potential therapeutics against AD.

Abstract: Gene expression programming-based behavior monitoring is disclosed. A machine receives, as input, a plurality of data examples. A method can include receiving data indicating behaviors of the device, determining, using a gene expression programming (GEP) method, a data model that explains the data, and comparing further data indicating further behavior of the device to the data model to determine whether the further behavior is explained by the data model.

Abstract: A computer-implemented method including receiving, at a processing device of a disease risk calculation server, a request from a user mobile device for a disease risk calculation and including an answer, determining at the processing device, diseases the user is likely to contract, providing, from the processing device, the determined diseases, receiving, at the processing device, a user selection of a disease that user is likely to contract, providing, from the processing device, a question related to a proven risk factor of the user selected disease, receiving, at the processing device, a user answer, calculating, at the processing device, a risk that the user will contract the selected disease, providing, from the processing device, the calculated risk to the mobile device, and receiving and processing electronic payment from the user device after receipt by the user mobile device of the calculated risk, the electronic payment being governed by blockchain technology.

Abstract: The present disclosure is directed to compositions and methods to treat the inflammatory response present in certain diseases and illnesses by modifying a dysregulation of one or more genes associated with the Wnt/?-catenin signaling pathway. Embodiments of the disclosure can provide methods for treating an inflammatory response in a patient by identifying the inflammatory response and modifying the inflammatory response.

Abstract: A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

Abstract: Systems and methods for evaluating patients are provided. An example includes receiving first cardiopulmonary exercise test data for the patient and plotting a first vector based on the first cardiopulmonary exercise test data, the first vector including a first point based on a rest value and a second point based on an exercise value. A first coordinate value of the first point and a first coordinate value of the second point may be based on mixed expired CO2 (PECO2) and a second coordinate value of the first point and a second coordinate value of the second point may be based on end tidal CO2 (PetCO2). The example may also include plotting a midpoint of the first vector and triggering display of the plotted vector and plotted midpoint. The plotted vector and plotted midpoint may be displayed over a coordinate grid having multiple physiological condition zones.

Abstract: Systems and methods for spatial analysis of analytes are provided. A data structure is obtained comprising an image, as an array of pixel values, of a sample on a substrate having a identifier, fiducial markers and a set of capture spots. The pixel values are used to identify derived fiducial spots. The substrate identifier identifies a template having reference positions for reference fiducial spots and a corresponding coordinate system. The derived fiducial spots are aligned with the reference fiducial spots using an alignment algorithm to obtain a transformation between the derived and reference fiducial spots. The transformation and the template corresponding coordinate system are used to register the image to the set of capture spots. The registered image is then analyzed in conjunction with spatial analyte data associated with each capture spot, thereby performing spatial analysis of analytes.

Abstract: A test sensor for determining an analyte concertation in a biological fluid comprises a strip including a fluid receiving area and port-insertion region. A first row of optically transparent and non-transparent positions forms a calibration code pattern disposed within a first area of the port-insertion region. A second row of optically transparent and non-transparent positions forms a synchronization code pattern disposed within a second area of the port-insertion region. The second area is different from the first area. The synchronization code pattern corresponds to the calibration code pattern such that the synchronization code pattern provides synchronization of the serial calibration code pattern during insertion of the port-insertion region into the receiving port of the analyte meter.

Abstract: A virtual content providing device includes: a communication circuit capable of communicating with a wearable device worn by a user; and a processor functionally connected to the communication circuit. The processor is configured to: display virtual training content on the wearable device through the communication circuit; generate training situation information and user condition information associated with the virtual training content through the wearable device; determine a intervention time point for the virtual training content based on the training situation information and the user condition information; generate virtual intervention content associated with the intervention time point; and display the virtual intervention content in synchronization with the virtual training content through the wearable device.

Abstract: A facility for identifying the boundaries of 3-dimensional structures in 3-dimensional images is described. For each of multiple 3-dimensional images, the facility receives results of a first attempt to identify boundaries of structures in the 3-dimensional image, and causes the results of the first attempt to be presented to a person. For each of a number of 3-dimensional images, the facility receives input generated by the person providing feedback on the results of the first attempt. The facility then uses the following to train a deep-learning network to identify boundaries of 3-dimensional structures in 3-dimensional images: at least a portion of the plurality of 3-dimensional images, at least a portion of the received results, and at least a portion of provided feedback.

Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.

Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.

Abstract: A data-transmission system, comprising measurement means, having memories, to create and collect measurement data, an output device having a zero-power passive state, to show in the zero-power passive state, machine-readable code containing the measurement data created using the measurement means, a power supply for the output device and the measurement means, a server arrangement to process and/or store the measurement data, and one or several reader devices to read the code from the output device in the zero-power passive state and arranged for data transfer with the server arrangement. The output device and measurement means with memories are to be arranged at monitoring objects.

Abstract: A system, method and apparatus for assessment and optional treatment of spatial attention deficit, such as neglect for example, with computational feedback, based upon tracking the movement of the user.

Abstract: Computer-implemented methods are disclosed for estimating values of hemodynamic forces acting on plaque or lesions. One method includes: receiving one or more patient-specific parameters of at least a portion of a patient's vasculature that is prone to plaque progression, rupture, or erosion; constructing a patient-specific geometric model of at least a portion of a patient's vasculature that is prone to plaque progression, rupture, or erosion, using the received one or more patient-specific parameters; estimating, using one or more processors, the values of hemodynamic forces at one or more points on the patient-specific geometric model, using the patient-specific parameters and geometric model by measuring, deriving, or obtaining one or more of a pressure gradient and a radius gradient; and outputting the estimated values of hemodynamic forces to an electronic storage medium. Systems and computer readable media for executing these methods are also disclosed.

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

Abstract: Method and system for underwater hyperspectral imaging of seabed impact, environmental state or environmental footprint from natural or man-made sedimentation comprising hyperspectral imaging of ecological, chemical or sediment indicators in an observation area and identifying and classifying ecological, chemical or sediment indicators in the observation area.

Abstract: Embodiments of methods, systems, and tangible non-transitory computer readable medium having instructions are presented. A method includes calculating a plurality of feature values for a number of bioinformatic features of the desired hybridization reaction; and calculating distances between the plurality of feature values and corresponding database rate constant values stored in a database, the database comprising a plurality of hybridization reactions having known rate constants. The method additionally includes calculating a weighted average of a logarithm of the database rate constant values, with larger weights assigned to value instances having values lower in distance to the plurality of feature values of the desired hybridization reaction; and providing the weighted average as a predicted logarithm of the rate constant of the desired hybridization reaction.

Abstract: Provided herein are compositions and methods for decreasing tau mRNA and protein expression. These compositions and methods are useful in treating tau-related diseases and disorders.

Abstract: Inferring a characteristic of an individual is disclosed. An indication that a first user and a second user have at least one shared chromosomal segment is received. Information about the second user is obtained. A characteristic of the first user is inferred based at least in part on the information about the second user.

Abstract: A method of building an abnormality quantifier comprising: generating at least one selected first dataset comprising measurements of a normal population or sample and at least one second selected dataset comprising measurements of an abnormal population or sample; generating an image or map by imagizing the datasets; identifying a normality zone within the image or map using the first dataset; identifying an abnormality zone within the image or map using the second dataset; determining a definition of abnormality based on a comparison of the normality zone and the abnormality zone; receiving or accessing at least one third dataset comprising measurements of a both known normal and abnormal population or sample; testing the performance of the initially defined abnormality against one or more preset performance criteria; and outputting an abnormality quantifier when optimal performance has been reached.

Abstract: An event prediction system according to an aspect includes an acquisition unit and a symptom detection unit. The acquisition unit acquires body movement data about a subject's body movement from a measuring device that outputs the body movement data. The symptom detection unit makes, based on a subset, acquired during a past reference period, of the body movement data, a decision about whether or not there are any symptoms of an onset of a particular event related to the subject.

Abstract: The instant invention provides workflows for the design and characterization of mechanism-based sirtuin modulating compounds, including new or improved sirtuin activating compounds. Workflows for the design of mechanism-based sirtuin activating compounds are provided, based on conditions that must be satisfied by activators if they are to exploit the common catalytic mechanism of all sirtuin enzymes and hence increase catalytic efficiency for any sirtuin and any substrate.

Abstract: A driving load estimation apparatus can estimate the driving load of individual drivers in accordance with the driving environment. The driving load estimation apparatus can include a first VACP calculator configured to calculate a first VACP value based on information related to a driving environment of a vehicle and a correction value calculator configured to calculate a VACP correction value of each driver based on a steering operation in the driving environment. The driving load estimation apparatus estimates a driving load of the driver by correcting the first VACP value based on the VACP correction value.

Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.

Abstract: An example operation includes one or more of detecting, by a transport, a difference between sensor data associated with a location outside the transport and data stored on the transport and updating, by the transport, the data stored on the transport with the difference.

Abstract: The present disclosure relates to an arrangement (200) for simulating a quantum Toffoli gate. The arrangement is arranged to receive at least first, second, third, fourth, fifth and sixth classical input bits (a, b, c, d, e, f) and arranged to output at least first, second, third, fourth, fifth and sixth classical output bits. The first, third and fifth classical output bits are arranged to simulate controlled-controlled-NOT, CCNOT, logic based on the first, third and fifth classical input bits (a, c, e). The second, fourth and sixth classical output bits are arranged to simulate phase kickback based on the first, second, third, fourth and sixth classical input bits (a, b, c, d, f). The present disclosure also relates to corresponding systems, methods and computer programs.

Abstract: An electronic device such as a head-mounted device may have a display that is viewable by a user from eye boxes. The electronic device may have a gaze tracking system that monitors a user's eyes in the eye boxes to gather gaze direction information. The display may have a central portion and a peripheral portion. The peripheral portion may have a lower resolution than the central portion and may be used in displaying content that is viewable in a user's peripheral vision. During operation, control circuitry in the electronic device may adjust peripheral content on the peripheral portion to correct for parallax-induced mismatch between the peripheral content and central content on the central portion of the display. The control circuitry may also depower peripheral pixels that are determined to be unviewable based on the gaze direction. Diffusers may be used to hide seams between the central and peripheral display portions.

Abstract: A blood vessel cross-section function, a blood vessel pressure difference, and blood vessel stress may be established. A method for establishing a blood vessel cross-section function may include: obtaining image data in at least one cardiac cycle; selecting multiple feature times during the one cardiac cycle; generating spatial models of a target region blood vessel corresponding to each of the feature times according to the image data; establishing a first cross-section model of the target region blood vessel at each position along an axial direction of the target region blood vessel according to each of the spatial models; and establishing a corresponding first cross-section function according to each first cross-section model. Actual conditions of blood vessels may be reflected more accurately, and may provide an intermediate variable with less error for subsequent analysis operations, so that the later calculated value is closer to the actual value.

Abstract: Systems and methods are provided for controlling predictive medical monitoring. A non-linear-predictive-guide model estimates a patient parameter that is used as a guide in a deep neural network for improving accuracy of estimation by the deep neural network. The guide model generates a guiding first estimated patient parameter based on the guide model and patient input data. The deep neural network generates a second estimated patient parameter based on the deep neural network, the patient input data, and the guiding first estimated patient parameter. The deep neural network includes an input layer that receives the guiding first estimated patient parameter, and hidden layers including respective artificial neurons configured to perform a linear or nonlinear transformation on output of at least one artificial neuron from an adjacent layer in the deep neural network. An output layer receives at least one output from a hidden layer.

Abstract: The present invention relates to refined prognostic clinical tools, methods, and kits for the evaluation of risk and treatment of distant recurrence in ER+/HER2? breast cancer patients.

Abstract: A system and method for distributed surveillance of an area to monitor a process and visual effects of the process. Exemplary methods include, among others, asset effectiveness, issue identification and prioritization, workflow optimization, monitoring, estimation, verification, compliance, presentation, and/or identification for a given process. Such application may include, but are not limited to, manufacturing, quality control, supply chain management, and safety compliance.