Abstract: Disclosed herein are methods and compositions for the detection of biomarkers for cardiac diseases. Disclosed herein are sample collection devices comprising detection devices for heart failure. Disclosed herein are methods of detecting, monitoring, preventing, or treating heart failure.

Abstract: In some embodiments, techniques for identifying one or more species in an undifferentiated environmental sample comprising a plurality of nucleic acid sequences are provided. One or more indices that represent a plurality of reference nucleic acid sequences may be provided, and data may be received comprising digital representations of respective nucleic acid sequences. The respective nucleic acid sequences may be aligned, if possible, using the indices. A respective alignment ration may be calculated for each one of the reference nucleic acid sequences, based on the number of nucleic acid sequences aligned to the respective reference nucleic acid sequence and the total number of nucleic acid sequences in the received data.

Abstract: A method includes obtaining data measurements associated with plants in at least one growing area. The data measurements are associated with one or more characteristics of the plants and one or more characteristics of the at least one growing area. The method also includes processing at least some of the data measurements to identify one or more anomalous plant production issues associated with the plants. At least one anomalous plant production issue is associated with uneven production by the plants in at least part of the at least one growing area. The method further includes generating at least one visualization presenting at least some of the data measurements or processed versions of at least some of the data measurements in a spatial manner that corresponds to the at least one growing area. The at least one visualization identifies information associated with the one or more anomalous plant production issues.

Abstract: System and methods for geosteering inversion are provided. Downhole tool responses are predicted for different points along a planned path of a wellbore during a downhole operation, based on each of a plurality of inversion models. Measurements of the downhole tool's actual responses are obtained as the wellbore is drilled over the different points during a current stage of the operation. The inversion models are clustered based on a comparison between the actual and predicted tool responses and a randomly selected centroid for each cluster. The inversion models are re-clustered using an average inversion model determined for each cluster as the centroid for that cluster. At least one of the re-m clustered inversion models is used to perform inversion for one or more subsequent stages of the downhole operation along the planned wellbore path. The planned wellbore path is adjusted for the subsequent stage(s) of the downhole operation.

Abstract: Embodiments of the invention utilize a graph-based approach for simulating genomic datasets from large scale populations. Genomic data may be represented as a directed acyclic graph (DAG) that incorporates individual sample data including variant type, position, and zygosity. A simulator may operate on the DAG to generate variant datasets based on probabilistic traversal of the DAG. This probabilistic traversal reflects genomic variant types associated with the subpopulation used to build the DAG, and as a result, the generated variant datasets maintain statistical fidelity to the original sample data.

Abstract: To control a cognitive load to be given to the cognitive function of a user in rehabilitation, this invention provides a rehabilitation support apparatus including a detector that detects a three-dimensional rehabilitation action of the user, a display controller that generates, in a three-dimensional virtual space, an avatar object that moves in accordance with the detected rehabilitation action and a target object to be visually recognized by the user and displays these on a display, a notifier that notifies generation of the target object, and a cognitive load controller that gives a cognitive load to the user by generating the target object after an elapse of a predetermined time from the notification of the generation position of the target object.

Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: An apparatus includes a substrate, a classical computing processor formed on the substrate, a quantum computing processor formed on the substrate, and one or more coupling components between the classical computing processor and the quantum computing processor, the one or more coupling components being formed on the substrate and being configured to allow data exchange between the classical computing processor and the quantum computing processor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving graph data representing an input graph comprising a plurality of vertices connected by edges; generating, from the graph data, vertex input data representing characteristics of each vertex in the input graph and pair input data representing characteristics of pairs of vertices in the input graph; and generating order-invariant features of the input graph using a neural network, wherein the neural network comprises: a first subnetwork configured to generate a first alternative representation of the vertex input data and a first alternative representation of the pair input data from the vertex input data and the pair input data; and a combining layer configured to receive an input alternative representation and to process the input alternative representation to generate the order-invariant features.

Abstract: A method of planning a patient-specific cardiac procedure according to an embodiment of the current invention includes receiving three-dimensional imaging data of a patient's heart, simulating at least one of electrophysiological or electromechanical activity of at least a portion of the patient's heart using the three-dimensional imaging data, and planning the patient-specific cardiac procedure based on the simulating. The cardiac procedure is for providing a preselected alteration of at least one of electrophysiological or electromechanical behavior of the patient's heart.

Abstract: A NOx generation amount control device includes: a cumulative amount calculating part calculating a cumulative NOx amount obtained by adding together a plurality of NOx exhaust amounts calculated for each prescribed time interval; a specifying part specifying a target value of the cumulative NOx amount associated with a movement distance of a moving body or an output value of an engine; an estimating part estimating a predicted NOx amount indicating a predicted cumulative NOx amount based on a rotation speed of the engine and a fuel injection amount; a judging part judging whether the sum of the predicted NOx amount and the cumulative NOx amount exceeds the target value; and a determining part determining a scheduled NOx exhaust amount and determining at least one of an opening degree of the EGR valve and an opening degree of a turbocharger.

Abstract: Computer-implemented method and system for monitoring dental implant comprising the steps of graphically simulating an anatomy of a provided dental prosthesis coupleable to a dental implant; simulating an optimized implant site for the dental implant as a function of implant parameters of the dental implant and first parameters of the optimized implant site; calculating a plurality of optimal dental implants; selecting a usable implant from the plurality of optimal dental implants; calculating first deviations between first parameters of the optimized implant site and first parameters of the usable implant; calculating second deviations between second parameters of the optimal dental implants not selected as usable implants and first parameters of the optimized implant site; calculating real optimized parameters of the optimized implant site as a combined function of first deviations and second deviations.

Abstract: The present invention provides a system for performing reactions, where the system comprises a plurality of synthesisers that are in communication via a communal reporting platform. A synthesiser is programmed for the automated synthesis of one or more chemical or biological reactions, and the synthesiser comprises a reaction vessel which is supplied by a reagent delivery system, an analytical system for analysing a reaction, and a controller for managing the reagent delivery system and the analytical system, and for communication with the reporting platform. Also provided are methods for performing a plurality or reactions using the system.

Abstract: In a general aspect, hybrid quantum/classical algorithms are executed in a computing system. A first set of values representing a measurement of a reduced density matrix (RDM) is obtained. The first set of values is based on sampling quantum states generated by a quantum processor. A classical processor generates a second, different set of values to represent the measurement of the RDM. The second set of values is constructed based on the first set of values by a process that imposes one or more n-representability conditions on the second set of values to represent the measurement of the RDM.

Abstract: Systems and methods for determining treatment effects of a randomized control trial (RCT) in accordance with embodiments of the invention are illustrated. One embodiment includes a method for determining treatment effects. The method includes steps for receiving data from a RCT, generating result data using a set of one or more generative models, and determining treatment effects for the RCT using the generated result data.

Abstract: A radiation therapy apparatus of an embodiment allows radiation to be applied while rotating a gantry and controls irradiation and stop of the radiation during the rotation of the gantry based on respiration of a treatment subject, and includes processing circuitry. The processing circuitry detects the respiration of the treatment subject. The processing circuitry predicts an administration dose based on a respiratory phase range in which the radiation is applied in the respiration of the treatment subject, and changes at least one or both of a dose rate of the radiation to be applied to the treatment subject and a rotation speed of the gantry so that the administration dose reaches a target dose. The processing circuitry performs control according to the change with respect to at least one or both of the dose rate of the radiation and the rotation speed of the gantry.

Abstract: Presented herein are techniques for identifying and/or validating sequence variants in genomic sequence data. The techniques include generating an error rate reflective of sequence errors present in the genomic sequence data. The error rate may be used to validate potential sequence variants. The error rate may be based on errors identified during consensus sequence confirmation for sequence reads associated with individual unique molecular identifiers.

Abstract: Systems and methods are provided for allocating resources in harvest operations involving multiple fields and multiple pickers. One example computer-implemented method includes retrieving data specific to a harvest project and, for each of multiple stages for a site of the harvest project, determining, via a decision service, multiple potential allocations of the multiple pickers to fields of the site based on the retrieved data and one or more applicable constraints, advancing one or more of the potential allocations based on a determined parameter, and imposing at least one constraint consistent with ones of the one or more advanced potential allocations. The method then includes determining, via the decision service, at least one allocation of the multiple pickers to the multiple fields based on the retrieved data and one or more applicable constraints, compiling and storing a harvest plan for the harvest project, and implementing the harvest plan.

Abstract: A method, non-transitory computer readable medium, and an apparatus for automated estimation of repair data includes applying a first generated artificial intelligence model on a received vehicle damage image associated with an electronic claim to identify damaged component(s) on a vehicle without using any metadata. A heat map analysis is performed on the received actual vehicle damage image to identify a damage severity value associated with at least one of the identified damaged component(s). A second generated artificial intelligence model is applied on the received actual vehicle damage image and the damage severity value associated with the identified damaged component(s) to determine repair data and a repair-or-replace designation. The determined repair data and the determined repair-or-replace designation for at least one of the identified one or more damaged components is provided in response to the received actual vehicle damage image associated with the electronic claim.

Abstract: A pre-operative surgical planning system utilizes machine learning classification to provide candidate elements of a pre-operative surgical plan. The pre-operative surgical planning system may comprise a machine learning reconstruction engine that is trained with artificial computer models of physiologically compromised anatomical structures.

Abstract: The present disclosure relates to systems and methods for controlling physiological glucose concentrations in a patient.

Abstract: Users indicate possible outcomes of a medical treatment of a medical condition, a population of patients (4) to be treated, and data sources (3) for providing related health data. A smart contract (81) on a blockchain (8) comprises code (82) and an assessment data structure (83). The assessment data structure (83) defines data related to the treatment and to be collected from the data sources (3) and an assessment block (84) to be generated and stored on the blockchain (8), using the data collected during an assessment period. The assessment block (84) indicates for the assessment period the outcomes actually achieved by the treatment. The smart contract code (82) controls processors (11) to determine the efficacy of the treatment, upon an assessment block (84) being stored on the blockchain (8), using the outcomes indicated in the assessment block (84).

Abstract: An emulation apparatus emulates an electrophysiological signal derived from a target area of a human or animal nervous system under the influence of a stimulation signal applied to the human or animal body. A prior signal generator generates a prior signal representing an electrophysiological signal in the absence of stimulation. A test signal representing a stimulation signal is received and used by a modelling unit to derive a modulation signal representing the degree of modulation of the electrophysiological signal, in accordance with a model of the temporal evolution of the modulation of the electrophysiological signal caused by the stimulation signal. A modulation unit modulates the prior signal in accordance with the modulation signal to output an emulation signal representing an electrophysiological signal derived under the influence of the stimulation signal. The emulation apparatus has wide use in neuroscience research, bioengineering and clinical applications.

Abstract: A method and a system are provided for determining a likelihood of a metabolic pathway existing in an organism, including: calculating a feature vector for each metabolic pathway of metabolic pathways known to exist and not known to exist in the organism, wherein elements of the feature vectors are network properties of the metabolic pathways mapped to a metabolite concentration correlation network (CN); training a supervised machine learning model for classifying metabolic pathways as existing or not existing in the organism, according to the known and unknown feature vectors; determining, based on mapping to the CN, a feature vector of a proposed metabolic pathway, and feeding the feature vector of the proposed metabolic pathway to the trained SML model, to determine a likelihood of the proposed metabolic pathway existing in the organism.

Abstract: Provided herein are certain compounds and imaging agents useful for detecting a condition or disorder associated with protein aggregation, compositions thereof, and methods of their use.

Abstract: An association management system for establishing, maintaining, and monitoring associations between a personal identifier and an electronic device, includes a provider subsystem in operable communication with at least one of the personal identifier and the electronic device. The provider subsystem is configured to provision a person associated with the personal identifier, authenticate both of the personal identifier and the electronic device, and establish an association of the authenticated personal identifier to the authenticated electronic device. The system further includes a certificate authority subsystem for issuing at least one digital certificate to verify an identity of one or more digital entities operating on the management system, and a digital distributed ledger including a plurality of a consensus pool of participating processors. The digital distributed ledger is configured to verify, using the at least one digital certificate, transaction events of the association management system.

Abstract: RNA from a biological fluid is stabilized during isolation and/or storage using DNA. In especially preferred aspects, the RNA is cfRNA and/or ctRNA, and the biological fluid is blood.

Abstract: A convolutional neural network predicts which regions of a tissue slice would be stained by a first stain by training a model to identify those regions based only on tissue stained by a second stain. Thereafter the first stain need not be used to mark cancerous regions on other tissue slices that are stained with the second stain. The training slice is stained with a first immunohistochemical stain and a second counterstain. A target region of an image of the training slice is identified using image analysis based on the first stain. A set of parameters for associated mathematical operations are optimized to train the model to classify pixels of the image as belonging to the target region based on the second stain but not on the first stain. The trained parameters are stored in a database and applied to other images of tissue not stained with the first stain.

Abstract: The invention relates to a method for determining the microvascular resistance reserve, MRR, in the myocardium perfused by a normal or a stenotic coronary artery of a human patient, which method comprises the step of during rest condition of the patient: measuring the blood flow, Qrest, through the coronary artery; and further comprising the step of during rest condition or during maximum hyperemia of the patient: measuring the blood pressure, Pa, at a position proximal in the coronary artery or proximally of any stenosis, if present; and further comprising the steps of during maximum hyperemia of the patient: measuring the blood flow, Qmax, through the coronary artery; and measuring the blood pressure, Pd, at a position distal in the coronary artery or distally of any stenosis, if present, and wherein the microvascular resistance reserve, MRR, is determined by the additional step of calculating the microvascular resistance reserve as M ? R ? R = Q max Q rest ? P a P d , h ? y ? p ? e ? r

Abstract: A method includes receiving first sensor data pertaining to plant-related parameters of each of one or more first plants that performed well over time. The method also includes analyzing at least some of the first sensor data to generate a predictive model associated with the one or more first plants. The method further includes receiving second sensor data pertaining to plant-related parameters of each of multiple second plants. In addition, the method includes identifying at least one of the second plants to receive one or more interventions by applying the predictive model to the second sensor data. Identifying the at least one of the second plants includes identifying the at least one of the second plants as having at least one of the plant-related parameters that deviates from at least one of the plant-related parameters of the one or more first plants.

Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.

Abstract: In a general aspect, input data for a computer process are preprocessed by a preprocessor unit that includes a quantum processor. In some aspects, a preprocessor unit obtains input data for a computer process that is configured to run on a computer processing unit. Randomized parameter values are computed for variable parameters of a quantum logic circuit based on the input data. A classical processor in the preprocessor unit computes the randomized parameter values from the input data and a set of random numbers. A quantum processor in the preprocessor unit produces quantum processor output data by executing the quantum logic circuit having the randomized parameter values assigned to the variable parameters. Preprocessed data generated based on the quantum processor output data are then provided as the input for the computer process configured to run on the computer processing unit.

Abstract: This invention comprises compositions and methods to determine the prognosis of necrotizing enterocolitis.

Abstract: A system comprising a machine-readable storage medium storing at least one program and a computer-implemented method for collecting body measurements of a human user using a body measurement garment is provided. The body measurement garment comprises a plurality of sensors configured to produce a set of output data. The method may include receiving the set of output data from the body measurement garment and determining a plurality of body measurements from the output data. The method may further include generating a body shape model representing the shape of the body of the user. The method may also include generating a garment fit model representing the fit of a garment on the human user.

Abstract: The present invention involves orthopedic implants of small joints in human, in particular a truly patient-specific bone implanting system comprising the implant and surgical tools fabricated by additive manufacturing techniques based on the inputs conforming to each patient's anatomy and obtainable from a wide range of existing 3-dimensional imaging and image processing technologies, which offers a substantial progress in logistics, efficiency of surgical operation, and functionality of treated bones.

Abstract: Methods and systems with 129Xe dynamic spectroscopy with a fitting function that includes one or more non-Lorentzians, optionally with a barrier Voigt, and signal processing for identifying cardiogenic oscillations for evaluating disease states, use in drug discovery or monitoring disease status.

Abstract: A camera-based Transcranial Magnetic Stimulation (TMS) diagnosis and treatment head modeling system is provided and includes a 3D scanner, a positioning cap, and a smart terminal, where the 3D scanner and the smart terminal are electrically connected. A modeling method for the head modeling system includes: acquiring 3D image data of the head of a patient by a camera from different directions, and integrating the image data to obtain complete 3D image data; and then mapping, in combination with MNI brain space coordinates, a skull model obtained by brain 3D scanning in an MNI space to 3D head model data of the patient to obtain a head model highly matching the real head of the patient.

Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: Methods and systems for providing neuromodulation to a patient are disclosed. The disclosed methods and systems use sensed neural responses to construct and optimize models of the neural elements recruited during the neuromodulation. The models are used to estimate neural recruitment associated with a therapeutic effect and/or with side-effects to stimulation. The models can be used to adjust neuromodulation in a closed-loop fashion.

Abstract: An exemplary computer-implemented method for administering one or more treatments to a plant in a greenhouse comprises: receiving data associated with the plant; providing the received data to a trained machine-learning prediction model to obtain: a first set of health predictions of the plant corresponding to a present time; and a second set of health predictions of the plant corresponding to a future time; determining whether the plant is unhealthy or lagging a growth trajectory based on: a first comparison based on the first set of health predictions and observed health of the plant at the present time, and a second comparison based on the second set of health predictions and a future production goal of the plant; if the plant is unhealthy or lagging the growth trajectory, identifying the treatments for the plant; and controlling one or more robots in the greenhouse to administer the treatments.

Abstract: Techniques facilitating density-functional theory determinations using a quantum computing system are provided. A system can comprise a first computing processor and a second computing processor. The first computing processor can generate a density-functional theory determination. The second computing processor can input a quantum density into the density-functional theory determination. The first computing processor can be operatively coupled to the second computing processor. Further, the first computing processor can be a classical computer and the second computing processor can be a quantum computer.

Abstract: Estimating a nerve-to-electrode distance involves applying a stimulus from a stimulus electrode to a nerve. Neural measurements of at least one evoked compound action potential are obtained, and processed in order to estimate an originating state of stimulation exhibiting at least one characteristic defined by a single fibre size. A single fibre model is then applied to produce a measure of the nerve-to-electrode distance. Also provided for is estimation of a distribution of recruited fibres. Measurements of a compound action potential are obtained from sense electrodes spaced apart along a neural pathway. A conduction velocity of the compound action potential is determined from the latency between the measurements. From the conduction velocity a dominant recruited fibre diameter is determined. A rate of dispersion of the compound action potential between the sense electrodes is determined. From the rate of dispersion a distribution of diameters of the recruited fibre population is determined.

Abstract: A computing system includes a processor and a memory having instructions stored thereon that, when executed by the one or more processors, cause the computing system to: receive yield data for a field and a spatial data set; process the yield data and the spatial data to generate a nitrogen loss spatial map layer; and generate a prescription. A computer-implemented method includes receiving yield data for a field and a spatial data set; processing the yield data and the spatial data to generate a nitrogen loss spatial map layer; and generating a digital agricultural prescription. A non-transitory computer readable medium includes program instructions that when executed by one or more processors, cause a computer to: receive yield data for a field and a spatial data set; process the yield data and the spatial data to generate a nitrogen loss spatial map layer; and generate a prescription.

Abstract: A method and system based on the image processing technology and robotic technologies are used for planning and evaluating the processes of the hair transplant operations. This method allows a rapid detection of the follicle, the hair number in each follicle and the hair thickness on the images obtained by the scanning of the scalp of the patient before the operation through the image processing technology. Considering these data, “Coverage Value” calculation is automatically carried out; maximum hair number to be harvested in each area is automatically analyzed and calculated. As a result, more reliable and healthy results relative to the present operations are obtained for evaluating the whole operational process through the systematic data, and a system facilitating the method is applied.

Abstract: A personalized health maintenance system, includes reading of an input-output data pair of each medical diagnosis test of a plurality of different medical diagnosis tests conducted for a first user; and cross-correlate a plurality of results of each medical diagnosis test of the plurality of different medical diagnosis tests to find a relationship among the plurality of different medical diagnosis tests for the first user. A coherent health state of the first user is determined based on the cross-correlation of the plurality of different medical diagnosis tests. The personalized health maintenance system includes a robotic system configured to output a first digital therapeutic environment around the first user. The first digital therapeutic environment is a human-sense stimulating mixed reality environment that induces a specific stimulus to the first user for remediation of at least one condition of the determined coherent health state of the first user.

Abstract: Disclosed are implementations that include a method for detecting anomalous data, including converting a set of data values representative of a multi-dimensional item into a nodes-and-edges graph representation of the item, applying a graph convolution process to the graph representation to generate a transformed graph representation for the item comprising a resultant transformed configuration of the nodes and edges representing the item, and determining, based on the transformed configuration, a probability that the item is anomalous. Another example method includes receiving input data at a neural network circuit comprising a plurality of node layers, with each of the plurality of node layers comprising respective one or more nodes, with the neural network circuit further comprising adjustable weighted connections connecting at least some nodes in different layers of the plurality of node layers. The method further includes removing one or more of the weighted connections at one or more time instances.

Abstract: A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including: a biophysical simulator (126) configured to simulate coronary or carotid flow and pressure effects induced by a cardiac valve device implantation, using cardiac image data and a device model (212). The computing system further includes a processor (120) configured to execute the biophysical simulator to simulate the coronary or carotid flow and the pressure effects induced by the device implantation with the cardiac image data and the device model. The computing system further includes a display configured to display results of the simulation.

Abstract: An optimization calculation apparatus may comprise an algorithm module obtaining a plurality of first solutions (S1) from a plurality of input data, obtaining second solutions (S2) from the first solutions (S1), and repeating the process to derive an optimal solution (Sm). The optimization calculation apparatus may further comprise a similarity determination module connected to the algorithm module and computing a similarity of ith solutions in order to obtain (i+1)th solutions (1?i?m?1).

Abstract: The present disclosure enables improved laser treatments by enabling better estimation of laser-tissue interaction to better inform the planning of a treatment path for a laser signal through a treatment region. An embodiment in accordance with the present disclosure uses a laser signal to generate a feature in the treatment region, generates a surface profile of the treatment region that includes the feature, compares that surface profile to another surface profile of the treatment region taken before the generation of the feature, and infers at least one property for at least one tissue type in the treatment region based on the comparison. In some embodiments, the feature is generated such that it includes a plurality of tissue types previously identified in the treatment region, thereby enabling inference one or more properties for each tissue type and/or locating one or more boundaries between tissue types.

Abstract: Disclosed herein are techniques related to glucose level management without carbohydrate counting. The techniques may involve obtaining contextual information for a meal, predicting amounts of glucose to be absorbed into a bloodstream of the patient over a duration of time due to consumption of the meal based on the contextual information for the meal, determining one or more amounts of insulin to counteract effects of the predicted amounts of glucose, and affecting insulin therapy based on outputting information indicative of the determined one or more amounts of insulin.