Abstract: A system, method, and apparatus are provided for designing and evaluating intraocular lenses for a large field of view that generate a first eye model from data that includes constant and customized values, including customized values of a first intraocular lens. A simulated outcome is provided by the first intraocular lens in at least one modeled eye. A second eye model is generated wherein a second intraocular lens is substituted for the first intraocular lens. An outcome provided by the second intraocular lens is simulated in at least one modeled eye. Outcomes of the first and second intraocular lenses are compared.

Abstract: A system and method for considering the effects of aerobic exercise on blood glucose levels for individuals is described. In at least one embodiment of the system of the present disclosure, the system comprises a computing device for generating a prediction of future blood glucose levels for the individual at least partly based on an exercise model, wherein the exercise model is based on parameters that are independent of intensity of the aerobic exercise, and a means for taking an action at least based on the prediction from the exercise model.

Abstract: A process of simply, cheaply, and reproducibly creating complex tissue models using screen printing and the tissue model prepared using the screen printing process. These models are amenable to high throughput screening. They will allow the study of components of disease progression and can be used for screening therapies.

Abstract: A method of planning an arthroplasty procedure on a femur and tibia of a patient. The method includes receiving a first two-dimensional image of the femur and the tibia, and identifying, in the first two-dimensional image, a proximal femur feature, a distal tibia feature, and a bone contour. The method further includes running a transformation process to align a bone model representative of the femur and the tibia into a coordinate system with the first two-dimensional image, the bone model having a bone model contour that is aligned with the bone contour of the femur and the tibia in the first two-dimensional image. And the method further includes applying an implant model to the bone model in order to determine coordinate locations for the arthroplasty resection.

Abstract: A device for carrying out mirror therapy includes: a camera for filming a healthy limb of a patient, a work surface on which the patient positions his healthy limb or affected limb, a screen for displaying the image of the healthy limb which is positioned on the work surface and which is filmed by the camera, the screen preventing the patient from directly seeing his healthy limb or affected limb on the work surface, and a support structure which is connected to the work surface and on which the screen and the camera are mounted. The device has a mirror fixed behind the screen. The camera films the healthy limb reflected in the mirror, and the image displayed by the screen is a reflection of the healthy limb in the mirror.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for machine learning for home understanding and notification. In one aspect, a method includes obtaining reference videos from a camera within a home, determining from the reference videos that a particular person routinely leaves the home with a particular object at a particular time of day, determining from a sample video from the camera within the home that the particular person appears to be leaving the home without the particular object at the particular time of day, and in response, providing a notification regarding the particular object.

Abstract: The method of assisting the production of an implantable unfurlable made to measure device comprises: three-dimensional reconstruction of a complex surface of the cavity in which the device will be implanted; Production of a first finite element mesh of this complex surface; Choosing of generic components of the device; Production of a second finite element mesh of these assembled generic components; Determination of the morphosis parameters for morphosing from the first mesh to a mesh of a set of simple linked volumes which is representative of the part of the cavity, and then deformation of the first mesh by this morphosis; Simulation of a deformation of the second mesh, by inverse morphosis dependent on the determined parameters, to the complex surface, simulating unfurling of the device; Determination of dimensioning of points of interest by projection onto the second deformed mesh; and Generation of a production blueprint plan of the device.

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: Systems and methods are disclosed for using vessel reactivity to guide diagnosis or treatment for cardiovascular disease. One method includes receiving a patient-specific vascular model of a patient's anatomy, including at least one vessel of the patient; determining, by measurement or estimation, a first vessel size at one or more locations of a vessel of the patient-specific vascular model at a first physiological state; determining a second vessel size at the one or more locations of the vessel of the patient-specific vascular model at a second physiological state using a simulation or learned information; comparing the first vessel size to the corresponding second vessel size; and estimating a characteristic of the vessel of the patient-specific vascular model based on the comparison.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: A method for determining a disease state transition path includes receiving a patient data having functional data and/or structural data related to a patient. Based on the patient data, a first disease state of a plurality of non-overlapping disease states each associated with a predetermined range of functional and/or structural degeneration values may be identified. A second, non-adjacent disease state of the plurality of disease states may be identified based on the patient data. A most probable path between the first disease state and the second disease state may be determined using a two dimensional continuous-time hidden Markov model.

Abstract: Three-dimensional modeling of patient-specific tumors. In an embodiment, patient-specific data, representing a tumor microenvironment and one or more metrics, are received. A patient-specific spatial model, representing the tumor microenvironment as a lattice comprising a plurality of elastic material points, is generated from the patient-specific data. Patient-specific drug interaction and metabolism models are also determined. The tumor microenvironment is then simulated, for one or more drug interventions, through a plurality of iterations in which each elastic material point is updated in each iteration based on computations of chemical diffusion, biochemical reactions, metabolism, drug interactions, growth and death, and mechanical forces. A report, comprising a three-dimensional representation of the patient-specific spatial model after one or more iterations, is generated for the drug intervention(s).

Abstract: A system can include a non-transitory memory to store machine readable instructions and data, and a processor to access the non-transitory memory and execute the machine-readable instructions. The machine-readable instruction can include a global module that can be programmed to generate a visual field map (VFM) model that can include a set of visual function map parameters for an entire visual field for a subject. The global module can be programmed to update the set of visual function map parameters corresponding to updating a shape of the VFM based on subject response data generated during each administration of a vision test to a subject.

Abstract: A system and method of analyzing a biological sample using an imaging system are disclosed. An image acquisition module instructs the imaging system to obtain a label free image of a training biological sample and in response receives a first training image. The image acquisition module also instructs the imaging system to cause the training biological sample to fluoresce and obtain an image of the training biological sample undergoing fluorescence, and in response receives a second training image. An analysis module analyzing the second training image to generate a plurality of training cell characteristics, wherein each of the plurality training cell characteristics is associated with one of a plurality of training cells that comprise the training biological sample.

Abstract: Described are biofidelic conductive skin simulants closely mimicking the biomechanical properties of natural human skin, including vaginal skin tissue. The conductive simulant contains a siloxane network and conductive fibers.

Abstract: A system and method for evaluating effects of an antiarrhythmic agent. The system includes: an action potential measurement unit for measuring a cardiac action potential of a patient; an ion channel characteristics determination unit for determining ion channel characteristics of the patient using the cardiac action potential; and an antiarrhythmic agent effect evaluation unit for simulating a treatment effect of an antiarrhythmic agent by reflecting characteristics of the antiarrhythmic agent on the determined ion channel characteristics of the patient. The system can conveniently determine the patient's ion channel characteristics by measuring the cardiac action potential of the patient, thereby preventing the risk of gathering cardiomyocytes of the patient.

Abstract: A lifestyle management supporting apparatus: acquires lifestyle-related information related to the lifestyle of a subject person; determines a psychological state index value which indicates a level of self-efficacy for the lifestyle improvement, based on the lifestyle-related information; determines a behavioral state index value which indicates a level of behavioral achievement for the lifestyle improvement, based on the lifestyle-related information; determines a type of the subject person by using a classification by axes of indexes including the psychological state index and the behavioral state index; and provides control unit providing support information conforming to the type of the subject person.

Abstract: A computer-implemented method for predicting molecule properties is disclosed. According to some embodiments, the method may include receiving an input file of a compound. The method may also include implementing a neural network to determine molecular configurations of the compound based on the input file and a plurality of molecular descriptors associated with the compound. The method may also generating, using the neural network, one or more three-dimensional (3D) models of the compound based on the determined molecular configurations of the compound. The method may also include determining, using the neural network, energy scores of the one or more 3D models when the compound is docked into a protein. The method may further include determining a property of the docked compound based on the energy scores.

Abstract: The present invention relates to methods for evaluating the probability that a patient's diagnosis may be treated with a particular clinical regimen or therapy.

Abstract: Systems and methods are provided herein that enable computer-implemented modeling of a biological event. Cell-based models produced from such systems and methods are also disclosed. In some embodiments, systems and methods are provided for cell-centric simulation with accommodating environment feedback. In one embodiment, a computer-implemented method of modeling a biological event can include receiving configurable simulation information and initializing an ontogeny engine to an initial step boundary in accordance with the configurable simulation information. The method can also include advancing the ontogeny engine from a current step boundary to a next step boundary in accordance with the configurable simulation information and the current step boundary. The advancing can include performing a stepCells function. The method can further include continuing the advancing until a halting condition is encountered.

Abstract: Methods, systems, and computer programs are presented for updating estimates of damage caused by a disaster based on newly acquired damage data. One method includes operations for generating block damage estimates in a geographical region after an event (e.g., a natural disaster such as an earthquake or a tornado), accessing input damage data for one or more buildings within a first block, and adjusting the block damage estimate of the first block based on the input damage data. One or more related blocks within a threshold distance from the first block are identified, and for each related block, a respective propagation coefficient is determined based on a comparison of features of the first block with features of each related block. The block damage estimate for the one or more related blocks is recalculated based on the respective propagation coefficient.

Abstract: A method for guiding implantation of a first prosthetic component includes determining, using a virtual model of a joint including first and second bones, a planned orientation of the first prosthetic component in the joint, applying a valgus/varus moment to the joint at a plurality of flexion positions of the joint, and recording positional data indicative of relative positions of the first bone and the second bone at the plurality of flexion positions of the joint. The method also includes calculating estimated separation distances between the first prosthetic component and a second prosthetic component, adjusting the planned orientation of the first prosthetic component in the joint in response to an error between the estimated separation distances and one or more desired separation distances, and guiding implantation of the first prosthetic component on the first bone in accordance with the adjusted planned orientation of the first prosthetic component.

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: Methods of making a spheroid are provided whereby a suspension is first produced including one or more biologically-relevant materials dispersed within a biocompatible medium. A droplet of the suspension is then bioprinted into a salt solution by bringing the droplet into contact with a surface of the salt solution in a controlled manner to reproducibly yield a spheroid containing a desired size and a desired amount of biologically-relevant materials.

Abstract: A method for evaluating a relative contribution of a first group of J data sets in a collection of N data sets, wherein N>J, includes first applying the collection of N data sets and second applying the first group of J data sets to a model and generating one or more observations O on the collection of N data sets and the first group of J data sets, including generating a N NSA curve comprising computing, using the model, an observation ON on the collection of N data sets; and generating a N?J NSA curve for the first group of J data sets by removing the first group of J data sets from the collection of N data sets, and generating, using the model, an observation ON?J with the first group of J data sets removed. The method then includes generating a measure MJ of contributions of the group of J data sets based on the N NSA curve and the N?J NSA curves.

Abstract: The present technology relates to devices and systems for volume visualization and interaction in a virtual reality environment.

Abstract: A machine learning apparatus determines an order in which numerical values in an input dataset are to be entered to a neural network for data classification, based on a reference pattern that includes an array of reference values to provide a criterion for ordering the numerical values. The machine learning apparatus then calculates an output value of the neural network whose input-layer neural units respectively receive the numerical values arranged in the determined order. The machine learning apparatus further calculates an input error at the input-layer neural units, based on a difference between the calculated output value and a correct classification result indicated by a training label. The machine learning apparatus updates the reference values in the reference pattern, based on the input error at the input-layer neural units.

Abstract: The present invention relates to systems and methods for identifying a biomarker from associative and knowledge based systems and processes. Particularly, aspects of the present invention are directed to a computer implemented method that includes data mining one or more public sources of biomedical text, scientific abstract, or bioinformatic data using queries to identify database terms associated with one or more predetermined terms, scoring association(s) between each of the identified database terms and the one or more predetermined terms, determining a subset b based on the score of the association(s), developing an interaction network model comprising the database terms in subset b, interactions, and additional database terms using a combination of algorithms in a predetermined order, and identifying candidate biomarkers from the interaction network model based on a ranking of the database terms in subset b and the additional database terms in the interaction network model.

Abstract: Medical patients do not always diligently follow their treatment plans. A medical treatment system that helps medical patients to follow their prescribed medical treatment plans. The medical treatment system includes a medical treatment application program that alerts a patient when a treatment step is required, rewards the patient with a virtual reward if the treatment step is completed, and reminds the patient if a treatment step has not yet been performed.

Abstract: Generating a three-dimensional radiation dose matrix for a patient for controlling the delivery of radiation dose to patients. The three-dimensional radiation dose matrix for the patient based on an intensity of radiation fields delivered by a radiation therapy delivery system that intersect with volume elements of a patient and determined by a predictive model. The intensity of the radiation fields at volume elements of the patient determined from spatial position data of the volume elements in a patient and radiation therapy delivery system data.

Abstract: A multiple camera imaging system comprises a first camera image sensor to obtain a first image of a scene and a second camera image sensor to obtain a second image. The system further comprises an image signal processor (ISP) to produce a first roughly-aligned image from the first image and a second roughly-aligned image from the second image. A feature point in the first roughly-aligned image is identified. A center of a search zone is created, which is a combination of the position of the feature point and an associated disparity value from the first and second roughly-aligned images. The search zone is created within the second roughly-aligned image. Candidate feature points are identified within the search zone, which is much smaller than the entire image. A best-matched feature point pair in the first roughly-aligned image and the second roughly-aligned image is then identified.

Abstract: Systems and methods are disclosed that include tools that utilize Dynamic Detector Tuning (DDT) software that identifies near-optimal parameter settings for each sensor using a neuro-dynamic programming (reinforcement learning) paradigm. DDT adapts parameter values to the current state of the environment by leveraging cooperation within a neighborhood of sensors. The key metric that guides the dynamic tuning is consistency of each sensor with its nearest neighbors: parameters are automatically adjusted on a per station basis to be more or less sensitive to produce consistent agreement of detections in its neighborhood. The DDT algorithm adapts in near real-time to changing conditions in an attempt to automatically self-tune a signal detector to identify (detect) only signals from events of interest. The disclosed systems and methods reduce the number of missed legitimate detections and the number of false detections, resulting in improved event detection.

Abstract: Systems and methods for virtual implant placement to implement joint gap planning are discussed. For example, a method can include operations for receiving a first implant parameter set based on a surgical plan that was generated while moving the joint through a range of motion. The method can include generating a first set of candidate implant parameter sets that are the result of an incremental change, relative to the first implant parameter set, to at least one parameter of the first parameter set. The method can include calculating a result for at least one candidate implant parameter set and providing a graphical representation of the result according to at least one candidate implant parameter set. The result can be color-coded to correlate to a candidate implant parameter set. The display can include color-coded user interface controls to allow a user to execute incremental changes corresponding to candidate implant parameter sets.

Abstract: A system includes a user interface, a processor, and a memory. The user interface is configured to receive a user input and is configured to depict a first graphical representation of a device having a first configuration corresponding to a first simulation. The processor, coupled to the user interface, is configured to select a second simulation from a plurality of discrete simulations. The second simulation corresponds to the user input. The memory, coupled to the processor, is configured to store the plurality of discrete simulations. Each simulation includes device design parameters and corresponding performance parameters. The plurality of discrete simulations includes the first simulation and includes the second simulation. The processor is configured to generate a second graphical representation of the device having a second configuration and configured to depict the second graphical representation using the user interface. The second configuration is determined using the second simulation.

Abstract: A diagnostic care coordination system assists a caregiver with treating a patient. The system comprises a diagnostic engine and a care engine. The diagnostic engine is configured to generate a working diagnosis of the patient. The diagnostic engine includes a static diagnosing web containing a plurality of information nodes and a dynamic diagnosing analyzer for presenting to a user a plurality of information requests. The dynamic diagnosing analyzer navigates a user through the plurality of information nodes of the static diagnosing web based upon received responses to said plurality of information requests. Based upon a route through the static diagnosing web as taken by the dynamic diagnosing analyzer, the diagnostic engine generates the working diagnosis. The care engine determines a treatment plan based upon said working diagnosis.

Abstract: A method includes: identifying a physical environment to be a basis for virtual training, the physical environment associated with performance of operations; creating, in a computer system, a three-dimensional (3D) model of the physical environment; defining, in the computer system, virtual operations to be performable during the virtual training, the virtual operations corresponding to the operations of the physical environment; identifying, in the computer system, a controllable component in the physical environment; creating, in the computer system, a 3D model of the identified controllable component; creating, in the computer system, a state model of the physical environment; and assembling, in the computer system, a virtual environment from the 3D model of the physical environment and the 3D model of the identified controllable component, and associating the created state model with the virtual environment.

Abstract: A method is provided that receives an image that includes graphical metadata for specifying alignment information. The method renders the image by using the alignment information. Rendering the image by using the alignment information includes positioning text on the image, aligning the image with another image, and identifying visual boundaries of the rendered image. The graphical metadata includes a geometric shape that specifies a region on the image where the text is to be rendered. The alignment metadata also specifies a maximum size for text rendered on the image. In some embodiments, the image is a multi-layer image that includes a first layer for the image and a second layer for the graphical metadata. In some embodiments, the layer that includes the graphical metadata is designated to include graphical metadata. The graphical metadata is not rendered on a graphical user interface where the image is rendered.

Abstract: Disclosed herein are compositions and methods for accurately estimating the absorbed dose of radiation indicated by a subject based on the expression pattern of a panel of radiation-modulated (RM) genes at various time points following exposure of the subject to ionizing radiation.

Abstract: Systems, methods, and apparatus are provided that allow a user to draw and edit a chemical structure using one or more gestures performed on an input interface, such as a touch pad or touch screen. For example, the user may assign an atom label to a chemical structure representation by performing a press and tap gesture, change a chemical bond characteristic in the chemical structure representation by performing a tap gesture, and/or lengthen a molecular chain in the chemical structure representation by performing a drag gesture. The user may also rotate the chemical structure representation in the graphical display by performing one or more rotation gestures.

Abstract: The present invention provides a method for creating a computer model of a patient specific joint for treatment planning. The method includes identifying a ligament of a joint of a patient under a load at a predefined position of the joint. The method further includes constructing, with the use of a computer, a computer model of the joint of the patient having: a first bone model, a second bone model, and a ligament model connecting the first and second bone models corresponding to the identified ligament, wherein the ligament model is constructed as at least one fiber based on a predefined slack length.

Abstract: Embodiments include apparatus for predicting cancer recurrence based on local co-occurrence of cell morphology (LoCoM). The apparatus includes image acquisition circuitry that identifies and segments at least one cellular nucleus represented in an image of a region of tissue demonstrating cancerous pathology; local nuclei graph (LNG) circuitry that constructs an LNG based on the at least one cellular nucleus, and computes a set of nuclear morphology features for a nucleus represented in the LNG; LoCoM circuitry that constructs a co-occurrence matrix based on the nuclear morphology features, computes a set of LoCoM features for the co-occurrence matrix, and computes a LoCoM signature for the image based on the set of LoCoM features; progression circuitry that generates a probability that the region of tissue will experience cancer progression based on the LoCoM signature, and classifies the region of tissue as a progressor or non-progressor based on the probability.

Abstract: De novo synthesized large libraries of nucleic acids are provided herein with low error rates. Further, devices for the manufacturing of high-quality building blocks, such as oligonucleotides, are described herein. Longer nucleic acids can be synthesized in parallel using microfluidic assemblies. Further, methods herein allow for the fast construction of large libraries of long, high-quality genes. Devices for the manufacturing of large libraries of long and high-quality nucleic acids are further described herein.

Abstract: Lineage graphs corresponding to data objects are generated. A data object of the data objects is associated with a source dataset table stored at a data lineage server (DLS). The source dataset table includes data of the data object received from a dataset stored at a data source system (DSS). A lineage graph corresponding to the dataset is determined from the lineage graphs. Based on the lineage graph, one or more data lineage structures are provided. The one or more data lineage structures include data from the dataset and from one or more datasets related to the dataset, and define lineage relationships between the data object and one or more data objects corresponding to the one or more datasets.

Abstract: The present invention relates to an apparatus for simulating electrocardial phenomena and related pathologies. A physical replica of a heart is provided with series of light emitters representing actual and conceptual electrocardial pathways, and controls therefor and output thereof, allowing the demonstration and graphical representation of electrocardial phenomena.

Abstract: Provided herein are genetic constructs comprising genetic perturbation cassettes and methods of using such to assess the timing and order of gene expression.

Abstract: The present disclosure relates to a dental image processing protocol for the design of dental aligners. Specifically, the dental image processing protocol aids in the determination of tooth movements during realignment, based on an initial position and a final position, and on characteristics of the periodontal environment. Therefore, planned tooth movements reflect both crown movement and root movement within biological structures of the alveolar process.

Abstract: The present approach relates to the use of trained artificial neural networks, such as convolutional neural networks, to classify vascular structures, such as using a hierarchical classification scheme. In certain approaches, the artificial neural network is trained using training data that is all or partly derived from synthetic vascular representations.

Abstract: A system and method for predicting, proposing and/or evaluating suitable medication dosing regimens for a specific individual as a function of individual-specific characteristics and observed responses of the specific individual. Mathematical models of observed patient responses are used in determining an initial dose. The system and method use the patient's observed response to the initial dose to refine the model for use to forecast expected responses to proposed dosing regimens more accurately for a specific patient.

Abstract: A system and method tracks touches in a healthcare environment in order to analyze paths of transmission and contamination for the purpose of eliminating and containing transmission of colonizing, drug-resistant pathogens. Touches are identified and tracked with the use of recording devices. Each touch is logged and a touch graph is generated to identify transmission paths.

Abstract: Systems, methods and software are provided that include a cloud, internet, and/or browser, application, or server based medical image sharing method and system that shares at least one 2D image data file through an internet browser that can generate rotatable and manipulatable 3D and/or 4D images by additional users without additional computer software, plug-ins, or hardware, to render 3D and 4D medical images for remote collaborative analysis, discussion, and/or diagnoses and that simulate or facilitate imaging of medical procedures for purposes of optimized performance, simulation, training and/or accreditation; as well as generating 3D and/or 4D imaging from 2 or more 2D images and/or projections for such use as semi-automated and/or fully automated, network and/or web-based, 3D and/or 4D imaging.