Abstract: A multimodal sensing system includes various devices that work together to automatically classify an action. A video camera captures a sequence of digital images. At least one other sensor device captures other sensed data (e.g., motion data). The system will extract video features from the digital images so that each extracted image feature is associated with a time period. It will extract other features from the other sensed data so that each extracted other feature is associated with a time period. The system will fuse a group of the extracted video features and a group of the extracted other features to create a fused feature representation for a time period. It will then analyze the fused feature representation to identify a class, access a data store of classes and actions to identify an action that is associated with the class, and save the identified action to a memory device.

Abstract: A cell culture control system includes a controller configured to control parameters of a culture fluid which exists in a processor in accordance with a control value which is preliminarily set, a generator configured to generate time-series data by using a concentration value of the metabolic substances in the culture fluid, the concentration value of the metabolic substances being detected by a sensor, an extractor configured to extract a characteristic point of the time-series data generated by the generator, and a control value setter configured to change the control value in accordance with the characteristic point extracted by the extractor.

Abstract: A method includes to receive, via a computing device, data representing a plurality of teeth, identify data indicating which of the plurality of teeth are unerupted or erupting, predict at least one characteristic of a tooth of the unerupted or erupting teeth after they have fully erupted using one or more tooth eruption prediction factors, generate new data representing the unerupted or erupting teeth in multiple states of eruption based upon the predicted at least one characteristic of the fully erupted teeth, and generate a series of incremental tooth arrangements with the new data to define a proposed orthodontic treatment based on the new data representing the unerupted or erupting teeth in multiple states of eruption.

Abstract: A computer assisted surgery method and apparatus for determining a change in a property of a joint of a patient caused by an arthroplasty procedure is described. The relative position of a first bone and a second bone of the joint is determined with the joint in a first position. The position of a pre-operative center of motion of the joint relative to the first bone is determined. The position of the second bone relative to the pre-operative center of motion is determined using the relative position of the first and second bones. The position of a post-operative center of motion resulting from a prosthetic component to be used in the joint is determined. The position of the second bone relative to the post-operative center of motion is determined. Any change in the property of the joint. is determined from the difference between the position of the second bone relative to the pre-operative center of motion and the position of the second bone relative to the post-operative center of motion.

Abstract: A method for diagnosing or predicting the risk of shock, the method incorporating an algorithmic combination of optical, electromagnetic, and other sensors, along with their anatomic and temporal patterns. A method for developing the algorithms through iterative optimization using machine learning.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: According to the invention, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of S1 et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

Abstract: A “dynamic” reference is presented that utilizes population level information to improve reference-based alignment to detect novel, deleterious, or functional variants in clinical sequencing applications. An automatically updated database of known genetic variants is provided to a memory connected with an integrated circuit configured for genetic sequence data with the dynamic reference and reference variants.

Abstract: Peptides and vaccine compositions comprising peptides based upon EGFRvIII and lacking a glycine at the splice junction are disclosed. The vaccines can induce immune responses against EGFRvIII. Methods of inhibiting formation or growth of EGFvIII tumors, methods of inducing regression of EGFvIII tumors, methods of immunizing against EGFvIII tumors and methods of treating a subjects who have EGFvIII tumors are disclosed.

Abstract: Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.

Abstract: Illustrative embodiments of systems and methods for the deductive multiscale simulation of macromolecules are disclosed. In one illustrative embodiment, a deductive multiscale simulation method may include (i) constructing a set of order parameters that model one or more structural characteristics of a macromolecule, (ii) simulating an ensemble of atomistic configurations for the macromolecule using instantaneous values of the set of order parameters, (iii) simulating thermal-average forces and diffusivities for the ensemble of atomistic configurations, and (iv) evolving the set of order parameters via Langevin dynamics using the thermal-average forces and diffusivities.

Abstract: The present disclosure is directed to systems and methods for identifying unknown drug targets via adverse event data. An analyzer receives an identification of a first drug having one or more unknown target proteins and identifies a second drug related to the first drug. The analyzer retrieves, from an adverse event database, a first side effect profile associated with the first drug, and a second side effect profile associated with the second drug. The analyzer generates a third side effect profile comprising a subset of the first side effect profile not shared by the second side effect profile, and identifies a third drug having a fourth side effect profile comprising the third side effect profile. The analyzer retrieves a list of one or more target proteins of the third drug not targeted by the second drug, and presents the retrieved list as potential target proteins of the first drug.

Abstract: Disclosed herein are improved methods of treating hyperglycemia with a combination of an ultrarapid acting insulin and insulin glargine comprising prandial administration of the ultrarapid insulin, and administration of a first dose of insulin glargine within 6 hours of waking for a day.

Abstract: Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

Abstract: An occlusal wear evaluation apparatus capable of quantitatively evaluating an occlusal wear of a used denture reads three dimensional data of the denture before use and three dimensional data of the denture after use. The apparatus calculates a difference in a set value of an articulator allowing a maxillary dental arch and a mandibular dental arch of the denture to occlude between the denture before use and the denture after use, by way of simulating movements of a jaw in the articulator with the three dimensional data of the denture before use and the three dimensional data of the denture after use, and indicates the calculated difference.

Abstract: A method of rendering an image based upon a first stereoscopic image comprising a pair of images is provided. The method includes generating a virtual three-dimensional model of the scene depicted in the first stereoscopic image responsive to distances derived from the first stereoscopic image, detecting one or more free edges in the three dimensional model, and generating one or more textures for the virtual three-dimensional model from at least one of the pair of images of the first stereoscopic image. The method also includes applying at least one texture to a respective part of the three dimensional model, and rendering the virtual three dimensional model from a different viewpoint to that of the first stereoscopic image. Rendering the virtual three dimensional model comprises modifying a transparency of rendered pixels of an applied texture as a function of the pixel's distance from that free edge.

Abstract: Virus-like particle (hereinafter sometimes VLP)-based strategies for developing vaccines against human viruses. Computer models of the VLPs are modified by the addition to the computer models of computer models of viral materials of the viruses against which the vaccines are being developed.

Abstract: A method to automatically quantify dendrite arm spacing in dendritic microstructures. Once a location of interest in a cast material specimen has been identified, the information contained in it is automatically analyzed to quantify dendrite cell size information that is subsequently converted into a quantified dendrite arm spacing through an empirical relationship or a theoretical relationship. In one form, the relationship between DCS and DAS is such that the DAS in dendritic structure of cast aluminum alloys may be automatically determined from the measurement of one or more of dendrite cell size and the actual volume fraction of the eutectic phases in the local casting microstructure. Non-equilibrium conditions may be accounted for in situations where a theoretical volume fraction of a eutectic phase of the alloy in equilibrium condition is appropriately modified.

Abstract: A computer-implemented method for dynamic vehicle control affecting sleep states of vehicle occupants includes connecting a wearable computing device associated with a vehicle occupant to a vehicle, and determining a state of the vehicle occupant based on physiological data received from at least one of the wearable computing device and the vehicle. The method includes determining a target sleep state of the vehicle occupant based on at least one of the state of the vehicle occupant, the physiological data and vehicle system data, and controlling a vehicle system of the vehicle based on the state of the vehicle occupant in relation to the target sleep state. The method includes monitoring the state of the vehicle occupant including monitoring the physiological data of the vehicle occupant in response to controlling the vehicle system and controlling the vehicle system according to the monitoring in relation to the target sleep state.

Abstract: The present invention provides an integrated health care surveillance and monitoring system that provides real-time sampling, modeling, analysis, and recommended interventions. The system can be used to monitor infectious and chronic diseases. When faced with outbreak of an infectious disease agent, e.g., influenza virus, the system can identify active cases through pro-active sampling in high risk locations, such as schools or crowded commercial areas. The system can notify appropriate entities, e.g., local, regional and national governments, when an event is detected, thereby allowing for proactive management of a possible outbreak. The system also predicts the best response for deployment of scarce resources.

Abstract: Provided is a method and apparatus for realistically reproducing an eyeball that may verify and analyze a material property and a deformation property with respect to each of constituent portions of an eyeball and may render each of the constituent portions based on the analyzed priorities, thereby more realistically reproducing the eyeball.

Abstract: A method of determining a number of clusters for a dataset is provided. Centroid locations for a defined number of clusters are determined using a clustering algorithm. Boundaries for each of the defined clusters are defined. A reference distribution that includes a plurality of data points is created. The plurality of data points are within the defined boundary of at least one cluster of the defined clusters. Second centroid locations for the defined number of clusters are determined using the clustering algorithm and the reference distribution. A gap statistic for the defined number of clusters based on a comparison between a first residual sum of squares and a second residual sum of squares is computed. The processing is repeated for a next number of clusters to create. An estimated best number of clusters for the received data is determined by comparing the gap statistic computed for each iteration of the number of clusters.

Abstract: Simulation systems and methods may enable medical training. A manufacturing unit may receive data from a configuration unit indicating identification and manufacturing parameters for an anatomy model. A data processing unit may receive data from the configuration unit identifying the anatomy model, and data from a calibration unit indicating a position and/or orientation of a position and orientation sensor relative to the anatomy model. The data processing unit may also receive data from the position and orientation sensor indicating a position and/or orientation of the anatomy model. The data processing unit may generate a virtual image using the data from the position and orientation sensor, the data from the calibration unit, and the data from the configuration unit. The data processing unit may render the virtual image to a display.

Abstract: Systems and methods are disclosed for modeling changes in patient-specific blood vessel geometry and boundary conditions resulting from changes in blood flow or pressure. One method includes determining, using a processor, a first anatomic model of one or more blood vessels of a patient; determining a biomechanical model of the one or more blood vessels based on at least the first anatomic model; determining one or more parameters associated with a physiological state of the patient; and creating a second anatomic model based on the biomechanical model and the one or more parameters associated with the physiological state.

Abstract: Systems and methods are provided for species detection using mass spectrometry. In various embodiments, a multiple reaction monitoring (MRM) experiment is performed on a sample targeting one or more peptide transitions that are unique to one or more species using a tandem mass spectrometer. One or more measured product ion spectra are received from the tandem mass spectrometer using the processor. The one or more measured product ion spectra are compared to product ions of the one or more peptide transitions that are unique to one or more species using the processor. One or more species of the sample are detected by reporting product ions of the one or more peptide transitions that are unique to one or more species that match the one or more measured product ion spectra using the processor.

Abstract: In hemodynamic determination in medical imaging, the classifier is trained from synthetic data rather than relying on training data from other patients. A computer model (in silico) may be perturbed in many different ways to generate many different examples. The flow is calculated for each resulting example. A bench model (in vitro) may similarly be altered in many different ways. The flow is measured for each resulting example. The machine-learnt classifier uses features from medical scan data for a particular patient to estimate the blood flow based on mapping of features to flow learned from the synthetic data. Perturbations or alterations may account for therapy so that the machine-trained classifier may estimate the results of therapeutically altering a patient-specific input feature. Uncertainty may be handled by training the classifier to predict a distribution of possibilities given uncertain input distribution.

Abstract: Systems and articles of manufacture for image segmentation are provided herein, and include creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image.

Abstract: A node arranging apparatus includes: a node arranging unit that arranges, in a virtual three-dimensional space, nodes indicated by inter-node information stored in an inter-node information storage unit; a node moving unit that moves each node using a movement amount and a movement direction of that node determined by arrangement relationship of that node with a first plane, arrangement relationship with another node arranged in the virtual three-dimensional space, and arrangement relationship with at least one other node associated therewith by the inter-node information and arranged in the virtual three-dimensional space; a display information generating unit that generates display information of a node connection image where nodes are projected and connected; and an output unit that outputs the display information. The node moving unit repeatedly performs at least once the node moving process until a predesignated condition is satisfied.

Abstract: A method of implanting a hip joint prosthesis into a patient can include obtaining image data of hip joint anatomy of the patient. Physical activities that the patient desires to participate in subsequent to implanting the hip prosthesis can be determined. A size and an initial placement of the hip joint prosthesis based on the image data can be determined. A desired range of motion of the hip joint prosthesis based on the determined physical activities can be determined. A plan can be created comprising a desired implanted location of the hip joint prosthesis and based on the desired range of motion. The plan can be incorporated onto a guide. The plan can be executed with the guide thereby implanting the hip joint prosthesis into the patient at the desired implanted position.

Abstract: A system for neuromuscular training via a communication network, including a computer processor connectable to the communication network, the processor capable of performing operations including: retrieving data representative of a training scenario from a database in response to a user selection on an input device, generating test elements, parameters and controls based on the retrieved data, monitoring use of the input device by the user, performing calculations of a simulated environment in response to the use of the input device by the user and the test elements, parameters and controls, generating real time images replicating the simulated environment of management of the test elements by the user and recording results of the simulation in the database.

Abstract: A cardiac signal generator includes a portable housing, a memory, a processing device, a digital to analog converter, and at least one analog output. The memory stores programming instructions including instructions defining a plurality of mathematical relationships. The processing device is configured to execute the programming instructions to generate a sequence of output values using the plurality of mathematic relationships as a function of time, wherein the sequence of output values defines a sampled waveform output simulating an ECG signal and having linear portions and at least one curved portion. The processing device furthermore provides the sequence of output values at an output. The digital to analog converter is operably coupled to receive the sequence of output values from the output, and generates an electrical signal having a waveform corresponding to the sampled waveform output. The analog output is operably coupled to the digital to analog converter.

Abstract: Systems and methods are disclosed for modeling changes in patient-specific blood vessel geometry and boundary conditions resulting from changes in blood flow or pressure. One method includes determining, using a processor, a first anatomic model of one or more blood vessels of a patient; determining a biomechanical model of the one or more blood vessels based on at least the first anatomic model; determining one or more parameters associated with a physiological state of the patient; and creating a second anatomic model based on the biomechanical model and the one or more parameters associated with the physiological state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training a predictive model. In one aspect, a method includes receiving over a network predictive modeling training data from a client computing system. The training data and multiple training functions obtained from a repository of training functions are used to train multiple predictive models. A score is generated for each of the trained predictive models, where each score represents an estimation of the effectiveness of the respective trained predictive model. A first trained predictive model is selected from among the trained predictive models based on the generated scores. Access to the first trained predictive model is provided over the network.

Abstract: A probabilistic data signal processor used to determine health of a system is described. Initial probability distribution functions are input to a dynamic state-space model, which iteratively operates on probability distribution functions, such as state and model probability distribution functions, to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled and used as an input to the dynamic state-space model in the iterative algorithm. In various embodiments, the probabilistic data signal processor is used to filter output from any mechanical device using appropriate physical models, which optionally include chemical, electrical, optical, mechanical, or fluid based models.

Abstract: A handheld diabetes manager is presented with an improved graphical user interface for a bolus calculator. The bolus calculator is configured to receive blood glucose measurements from a blood glucose measurement module and operates, in response to an input, to compute an insulin recommendation for a patient based in part on the blood glucose measurements. The graphical user interface for the bolus calculator includes a health adjustment screen that enables a user to input a value for health events associated with the insulin recommendation, where the input value represents a cumulative effect of the health events on insulin of the patient and the health adjustment screen presents a different icon for each of the health events associated with the insulin recommendation.

Abstract: A computer-implemented method for simulating blood flow through a heart valve may first involve receiving patient-specific data, including imaging data related to the heart valve, an inflow tract of the heart valve and an outflow tract of the heart valve, and at least one clinically measured flow parameter. Next, the method may involve generating a digital model of the heart valve and the inflow and outflow tracts, based at least partially on the imaging data, discretizing the model, applying boundary conditions to a portion of the digital model that contains the heart valve and the inflow and outflow tracts, and initializing and solving mathematical equations of blood flow through the model to generate computerized flow parameters. Finally, the method may involve comparing the computerized flow parameters with the at least one clinically measured flow parameter.

Abstract: Provided are methods and devices for formation and study of three-dimensional biological systems, including prokaryotic and eukaryotic cell migration, proliferation, and differentiation.

Abstract: A system for print service provider (PSP) operations management includes a provenance analytics engine. The provenance analytics engine accesses fresh meta-data associated with fresh events in a PSP operation performed using a printing system operated by a PSP. The provenance analytics engine further accesses stored meta-data associated with past events related to past PSP operations. Still further, the provenance analytics engine accesses a component behavioral model (CBM) to produce results associated with events in a PSP operation. The provenance analytics engine analyzes the event-related meta-data.

Abstract: A device for the collection and processing of information relating to the exposure of one or more persons to one or more products of chemical or biological origin has: at least one coded sensor for automatic or semi-automatic identification of a person likely to be exposed to at least one product, at least one coded sensor for the collection of information relating to the handling of at least one product by the person likely to be exposed to the product, at least one sensor for validating the information collected by the identification and collection sensors, at least one module for reading at least one coded sensor, and a module for processing information collected by the sensors.

Abstract: Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising acquiring an anatomical model of at least part of the patient's vascular system; performing, using a processor, one or more of geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical model; and identifying, using the processor, a personalized cardiovascular device for the patient, based on results of one or more of the geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of anatomical model.

Abstract: Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising: generating a patient specific model of at least a portion of a patient's vasculature from image data of the patient's vasculature and one or more measured or estimated physiological or phenotypic parameters of the patient; determining pathology characteristics from cardiovascular geometry of the patient specific model; defining an objective function for a device based on design considerations and one or more estimates of hemodynamic and mechanical characteristics; optimizing the objective function, by simulating at least one change in devices and evaluating the objective function using fluid dynamic or structural mechanic analysis; and using the optimized objective function to either (i) select a device from a set of available devices or (ii) manufacture a desired device.

Abstract: A coiling parameterization tool includes a processor and a display for displaying values of lumen volume, packing and coiling parameters for filling a lumen in relation to a desired packing. The processor is configured to detect a change in one of the displayed values and, in response to the change, to automatically evaluate, change and display remaining values displayed on the display.

Abstract: Some embodiments include a computer-assisted method of biomedical treatment design. For example, a computer system can select a compound model associated with a candidate compound that is structured to bind to a biological target to modulate the biological target into achieving a therapeutic effect. The computer system can then identify a structural feature in the compound model as a hinge region that connects domains in the candidate compound. The computer system then determines a mutation process to introduce a mutation at the hinge region such that the mutation activates the candidate compound. The computer system then generates an updated compound model based on the mutation added to the candidate compound to present in a treatment design interface.

Abstract: Methods are provided herein for: calculating cell growth rates in various environments and genetic backgrounds; calculating the order of substrate utilization from a defined growth medium; calculating metabolic flux reorganization in various environments and at various growth rates; and calculating the maximum metabolic rate and optimal metabolite concentrations and enzyme activities by applying a computational optimization method to a kinetic model of a metabolic pathway. The optimization methods use intracellular molecular crowding parameters and/or well as kinetic rates to assist in modeling metabolic activity.

Abstract: The invention is a method using a computer to construct a grid representative of the distribution of a physical property of an underground formation having application to petroleum reservoir development. A set of initial grid cells MI containing at least one conditioning point PC is defined. Each cell MI is then visited and assigned a value representative of the property using a filling method. At least one unvisited cell (MNV1, MNV2) adjacent to at least one already visited cell MV is then identified, and the number N of adjacent cells MV is determined for each cell (MNV1, MNV2). Each cell (MNV1, MNV2) is then visited and filled according to the decreasing values of N. The stages of identification and filling of cells (MNV1, MNV2) are repeated until each cell of the grid has been visited.

Abstract: Disclosed are methods for building a sequence activity model with reference to structural data, which model can be used to guide directed evolution of proteins having beneficial properties. Some embodiments use genetic algorithms and structural data to filter out uninformative data. Some embodiments use a support vector machine to train the sequence activity model. The filtering and training methods can generate a sequence activity model having higher predictive power than conventional modeling methods. Systems and computer program products implementing the methods are also provided.

Abstract: Treatment validation techniques include generating a modified treatment target from an original treatment target using a modification process, and comparing induced aberrations provided by the original and modified treatment targets, so as to verify the modified treatment target or the modification process. In some cases, a modification process may include a deconvolution process, a low pass filter process, a scaling process, or an adjustment process. The induced aberrations may include high order aberrations, such as spherical aberration.

Abstract: The present invention provides an integrated model of metabolic and macromolecular expression (ME-Model), and a method for reconstructing an ME-Model from biological data. Specifically, the present invention provides a ME-Model which uses a biochemical knowledgebase of an organism to accurately determine the metabolic and macromolecular phenotype of the organism under different conditions. Further, the present invention provides a method to determine the most efficient conditions for producing a product from an organism.

Abstract: A system and method for converting static/still medical images of a particular patient into dynamic and interactive images interacting with medical tools including medical devices by coupling a model of tissue dynamics and tool characteristics to the patient specific imagery for simulating a medical procedure in an accurate and dynamic manner by coupling a model of tissue dynamics to patient specific imagery for simulating cerebral aneurysm clipping surgery.

Abstract: The present invention disclose a computerized system for designing nucleic acid sequences for gene expression comprising; (a) a server [103] for hosting a database [106] (b) a network connection [102] and (c) a computer readable medium [101] comprising functional modules including (i) a design module for enabling designing of nucleic acid constructs; (ii) interactive user interface module for visualizing biological information relating to design operations; (iii) transaction module for purchasing a user-designed or pre-stocked nucleic acid constructs (iv) a detecting module for detecting designed nucleic acid sequences comprises harmful sequences; the system is operating in a method of: (a) visualizing biological information; (b) designing nucleic acid sequences; (c) detecting and notifying when harmful sequences are designed; (d) providing means for transactions regarding ordering and purchasing said synthesized nucleic acids.