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: 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: 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: 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 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 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 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: 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: 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: 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: 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: 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: 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.

Abstract: A method for performing a revision surgery using a robotic-assisted surgery system includes determining information related to an interface area between an implant component and a bone, and generating a planned virtual boundary associated with a portion of the interface area to be removed in a representation of the implant and the bone, based at least in part on the information related to the interface area. The method further includes tracking movement in the physical space of a cutting tool such that movement of the cutting tool is correlated with movement of a virtual tool, and providing a constraint on the cutting tool while the cutting tool removes the portion of the interface area. The constraint is based on a relationship between the virtual tool and the planned virtual boundary. The portion of the interface area is removed to remove the implant component from the bone.

Abstract: According to one aspect of the present disclosure, a method for estimating blood pressure is provided, comprising training a machine learning model on a cohort data set. The cohort data set may include subject-specific contextual data, time-varying features, and blood pressure measurements for a plurality of subjects. The method may include receiving contextual data for a specific subject, wherein the contextual data includes medical history data of the subject. The method may further include personalizing the machine learning model to the subject based on the contextual data. The method may include calibrating the machine learning model to the subject based on a set of time-varying features and blood pressure measurements of the subject. In addition, the method may include using the machine learning model and the time-varying features for the subject to generate a blood pressure estimate.

Abstract: The present invention relates to computer-implemented methods and system for analysing a biomarker which cycles in a subject. In some other aspects, the present invention relates to analysing a biomarker which at least initially increases or decreases in amount in a subject following a treatment for a disease. In further aspects, the present invention relates to computer-implemented methods and systems for determining a preferred time to administer a therapy to treat a disease in a subject. The present invention also relates to computer program product to implement the methods. Further, the present invention relates to methods of determining the timing of treating a disease in a subject in which the immune system is cycling.

Abstract: An example process that is performed by one or more processing devices uses one or more system states to detect cyber-attacks. The example process includes the following operations: generating a first graph that models states based on information obtained from an electronic device; and performing a correlation of the first graph with one or more second graphs to detect a possibility of a cyber-attack against the electronic device.

Abstract: Sensing systems and methods for sensing a stationary individual. A sensing system may use a first sensor to determine whether a detected thermal signature is associated with a human presence within a space. When the detected thermal signature is not associated with a human presence, the sensing system may repeat the determining whether a detected thermal signature is associated with a human presence. When the detected thermal signature is associated with a human presence, the sensing system may determine whether motion has been detected using a second sensor. In some cases, the first sensor may be a thermal sensor that can detect a human whether the moving or not, and the second sensor may be a motion sensor that only detects motion.

Abstract: An automated workflow performed by software executing on at least one processor includes receiving a plurality of echocardiogram images taken by an ultrasound device. A filter separates the plurality of echocardiogram images by 2D images and Doppler modality images based on analyzing image metadata. The 2D images are classified by view type, and the Doppler modality images are classified by view type. The cardiac chambers are segmented in the 2D images, and the Doppler modality images are segmented to generate waveform traces, producing segmented 2D images and segmented Doppler modality images. Using both the sets of images, measurements of cardiac features for both left and right sides of the heart are calculated. The calculated measurements are compared with international cardiac guidelines to generate conclusions and a report is output showing the calculated measurements that fall both within and outside of the guidelines.

Abstract: Provided is a method for monitoring a manufacturing process of an agricultural product. The method utilizes hyperspectral imaging and comprises scanning at least one region along a sample of agricultural product using at least one light source of a single or different wavelengths; generating hyperspectral images from the at least one region; determining a spectral fingerprint for the sample of agricultural product from the hyperspectral images; and comparing the spectral fingerprint so obtained to a spectral fingerprint database containing a plurality of fingerprints obtained at various points of the manufacturing process, using a computer processor, to determine which point in the manufacturing process the sample has progressed to.

Abstract: A method for calculating values indicative for the local spatial structure of conducting properties of heart muscle tissue. The method uses a continuous ROI where there may exist a CC, each point of the ROI being associated with a value of a given spatial distribution. The method for each one of the points: spans rays within the ROI in multiple 3-D directions using coordinates of a reference coordinate system of each point, providing a structure with a plurality of rays with a given geometry; defines a sequence of sampling points on each ray of said structure; maps the value of the spatial distribution on each defined sampling point of each ray of the structure; classifies each ray of the structure by assigning a single value, providing an associated ray value; and reduces each structure to a single point value in view of said geometry and their associated ray value.

Abstract: A device and a process for performing high temporal- and spatial-resolution MR imaging of the anatomy of a patient during intensity modulated radiation therapy (IMRT) to directly measure and control the highly conformal ionizing radiation dose delivered to the patient for the treatment of diseases caused by proliferative tissue disorders. This invention combines the technologies of open MRI, multileaf-collimator or compensating filter-based IMRT delivery, and cobalt teletherapy into a single co-registered and gantry mounted system.

Abstract: The method set out herein involves conducting adaptive clinical trial to develop parenteral therapeutic product with variable dose drug delivery devices. The method comprises using a variable dose drug delivery device to respond modifications during the adaptive clinical trial, wherein the variable dose drug delivery device is able to deliver more than one dose level and is for delivering fluid formulation. Other methods set out herein involve using a variable dose drug delivery device equipped with radio frequency identification (RFID) or near field communication (NFC) technology to improve patient adherence to drug administration in the adaptive clinical trial.

Abstract: A system for controlling a state of anesthesia of a patient. The system includes a neural sensor configured to be coupled to a patient and generate an output signal indicative of neural activity of the patient; and an electronic processor. The electronic processor is coupled to the neural sensor and to an infusion pump, and is configured to receive the output signal from the neural sensor, estimate a drug concentration of the patient based on a model including a first model parameter, and estimate a second model parameter based on the output signal from the neural sensor. The electronic processor is also configured to update the model for estimating the drug concentration of the patient with the second model parameter, and output control signals to the infusion pump to deliver a drug, the output signals being based on the estimated drug concentration for the patient and estimates of the parameters.

Abstract: According to one embodiment, a medical image processing apparatus includes first specifier, second specifier, determiner and display controller. First specifier collates an ischemic region calculated from a blood vessel visualized into a three-dimensional image in a plurality of phases with a dominating region of the blood vessel, and specifies a culprit vessel in the ischemic region. Second specifier specifies a culprit stenosis in the culprit vessel based on a pressure index calculated from the blood vessel. Determiner determines a connection position to connect a bypass vessel that makes a detour around the culprit stenosis. Display controller displays the determined connection position on a display.

Abstract: Some embodiments of an infusion pump system can be configured to provide improved safety monitoring features so that a user receives proper dosage amounts.

Abstract: Provided herein are peptides comprising an amino acid sequence having at least about 85% sequence identity to RYRPRAPIIAVT (SEQ ID NO: 1). These cationic peptides inhibit PKM2 methylation and may be used in the treatment of breast cancer and other diseases or conditions in which PKM2 is overexpressed. Such PKM2 peptides may be delivered to cancer cells using pH sensitive unimolecular nanoparticles comprising anionic polymers.

Abstract: A control circuit provides an opportunity via a user interface for a user to specify at least one custom DVH estimation model training feature. The control circuit then combines a predetermined set of DVH estimation model training features with a user-specified customer DVH estimation model training feature to provide a combined feature set. The control circuit uses the combined feature set to train a knowledge-based DVH estimation model which is then used to provide a DVH estimation for use when developing/optimizing a radiation treatment plan. That resultant radiation treatment plan then controls a radiation-administration platform to provide a therapeutic radiation dose to a patient.

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

Abstract: A computer-implemented method determines an orientation parameter value of a prosthetic component. The method includes receiving a first desired separation distance between a first prosthetic component and a second prosthetic component at a first flexion position of a flexion joint and estimating a first estimated separation distance between the first prosthetic component and the second prosthetic component at the first flexion position of the joint for at least one potential orientation of the first prosthetic component. The method also includes determining a first orientation parameter value of the first prosthetic component by comparing the first estimated separation distance to the first desired separation distance and outputting the first orientation parameter value via a user interface.

Abstract: An automated workflow performed by software executing on at least one processor includes receiving a plurality of echocardiogram images taken by an ultrasound device. A first filter separates the plurality of echocardiogram images by 2D images and Doppler modality images based on analyzing image metadata. A first neural network classifies the 2D images by view type, and a second neural network classifies the Doppler modality images by view type. A third neural network segments cardiac chambers in the 2D images and a fourth neural network segments the Doppler modality images to generate waveform traces, producing segmented 2D images and segmented Doppler modality images. Using both the sets of images, measurements of cardiac features for both left and right sides of the heart are calculated. The calculated measurements are compared with international cardiac guidelines to generate conclusions and a report is output highlighting the measurements that fall outside of the guidelines.

Abstract: A method for defining a metropolitan area based on a regional inter-city flow intensity measurement model includes the following steps: 1. determining an urban agglomeration regional range to be measured and inter-city flow associated cities; 2. measuring, according to the determined associated cities, itemized regional inter-city flow intensities of each group of the associated cities; 3. calculating through weighing, according to the itemized regional inter-city flow intensity values, integrated inter-city flow intensities and membership degrees thereof between a central city and other associated cities; 4. recording the above data into an ArcGIS library, and establishing a regional inter-city flow database through association between spatial data and table data. 5. performing four groups of naturally intermittent type clustering analysis on data in the established regional inter-city flow database, and finally determining the range of a metropolitan area in a narrow sense and in a broad sense.

Abstract: In some examples, a device includes a memory configured to store a first relationship between a blood pressure and another physiological parameter of a patient, the first relationship being indicative of cerebral autoregulation of the patient. The device also includes processing circuitry configured to receive first and second signals indicative of the blood pressure and the physiological parameter, respectively, of a patient. The processing circuitry is also configured to determine an expected value and an actual value of the physiological parameter at a particular blood pressure value of the first physiological signal. The processing circuitry is configured to determine, based on a difference between the actual value and the expected value, and store, in the memory, a second relationship between the blood pressure and the physiological parameter, the second relationship being indicative of a change in the cerebral autoregulation of the patient from the first relationship.

Abstract: A method of tracking a cell through a plurality of images includes selecting the cell in at least one image obtained at a first time, generating a track of the cell through a plurality of images, including the at least one image, obtained at different times using a backward tracking, and generating a cell tree lineage of the cell using the track.

Abstract: A data processing method for determining a path of a neural fibre in a patient, comprising the steps of: a) acquiring an atlas dataset representing an atlas of a fibrous structure comprising the neural fibre b) acquiring a nerve indicating dataset comprising information suitable for identifying the neural fibre in the patient c) calculating a matched atlas dataset by registering the atlas dataset with the nerve indicating dataset d) obtaining a generic path of the neural fibre from the matched atlas dataset e) defining a constraining volume in the patient around the generic path, the constraining volume having at least two end surfaces on which the generic path ends and f) determining the path of the neural fibre between end surfaces using a probabilistic approach, wherein the determined path lies completely within the constraining volume.

Abstract: An image processing apparatus including a processor and a memory, the processor executing a program stored in the memory to: acquire elemental map data representing a distribution of X-ray intensity or a distribution of concentration for each element; generate a phase map indicating a distribution of phases of compounds based on the elemental map data; and generate graphs representing X-ray intensity of each element or a concentration of each element as an area for the respective phases of the compounds included in the phase map and cause a display section to display the graphs.