Abstract: Provided is a cardiac virtualization test tank and testing system and method. A test tank is provided that includes a physical heart model representing the structure of the heart and a plurality of electrodes that output simulated biopotential signals based on an EP model representing the electrophysiological activity of the heart. The test system can be used for training, teaching, or validating a cardiac mapping, diagnosis, and/or treatment system, as examples.

Abstract: Disclosed herein are systems and methods of patella preparation. A method of patella preparation includes creating a patellar coordinate system utilizing key honey landmarks of a patella on a virtual model of an unresected patella. The method can further include defining a resection plane at a predetermined implant thickness and aligning the resection plane with the patellar coordinate system. Implant selection can be finalized on the resection plane to meet predetermined tolerances. A navigated patella clamp with a tracker and stylus can then be used to intraoperatively resect the patella and locate the implant.

Abstract: A data generation stack executing on data processing circuitry may generate substitute data for provision in place of data sample from sensor circuitry. A configuration layer of the data generation stack may store a configuration file. A data ingestion and generation layer of the data generation stack may access the configuration file to determine static relationships among different sensors within the system. The data ingestion and generation layer may further determine dynamic relationships among the sensors. Based on a hybrid relationship that accounts for the static and dynamic relationships, the data ingestion and generation layer may generate substitute data for a sensor based on sampled data from another sensor. A data export layer of the data generation stack may access the generated substitute data for output.

Abstract: A system for inducing respiration according to one embodiment of the present invention comprises: an imaging unit for picking a respiration image of a patient; a respiration signal conversion unit for obtaining a respiration signal of the patient by image processing, and tracking and analyzing the respiration image of the patient obtained from the imaging unit; and a respiration determination unit for determining one or more of whether the obtained respiration signal is suitable for radiation treatment, whether the obtained respiration signal is stable, and whether a matching score between the respiration signal of the patient and a guide respiration is greater than a predetermined reference value; and a respiration guide unit for providing the respiration signal of the patient, obtained from the respiration signal conversion unit, together with a stored guide signal.

Abstract: A data evaluation method includes a processor receiving data sets N, each of which has one or more parameters, applying the data sets N to a machine learning model and generating observations on the data sets N; and executing a network sensitivity analysis (NSA) that includes generating a N NSA curve for each of k distinct parameters in the N data sets including computing an observation ON with the data sets, and generating a N?j NSA curve for each of the of the k distinct parameters. Generating a N?J NSA curve includes removing the jth data set from the N data sets and computing an observation ONj. Executing the NSA further includes determining a contribution of a jth data set based on the k N NSA curves and the k N?j NSA curves; and computing a relative strength Sj of each of the N data sets.

Abstract: A three-dimensional molding producing apparatus (100) includes: a three-dimensional molding forming device (130) that forms a three-dimensional molding (300) by a powder lamination method by using a molding material (200) obtained by mixing a urethane resin powder with a gypsum powder and; and a urethane resin impregnating device (150) that impregnates a urethane resin into the three-dimensional molding (300). The three-dimensional molding producing apparatus (100) further includes: an aqueous medium dipping device (170) for immersing the three-dimensional molding (300) in an aqueous medium after impregnation of the urethane resin by the urethane resin impregnating device (150) is completed. This makes it possible to form a high-strength three-dimensional molding in forming a three-dimensional molding by the powder lamination method. Furthermore, it is also possible to form a soft three-dimensional molding.

Abstract: Systems and methods are disclosed for determining a patient risk assessment or treatment plan based on emboli dislodgement and destination. One method includes receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature; determining or receiving a location of interest in the patient-specific anatomic model of the patient's vasculature; using a computing processor for calculating blood flow through the patient-specific anatomic model to determine blood flow characteristics through at least the portion of the patient's vasculature of the patient-specific anatomic model downstream from the location of interest; and using a computing processor for particle tracking through the simulated blood flow to determine a destination probability of an embolus originating from the location of interest in the patient-specific anatomic model, based on the determined blood flow characteristics.

Abstract: The present invention relates to a device (1) for fractional flow reserve determination, the device (1) comprising: a model source (10) configured to provide a first three-dimensional model (3DM1) of a portion of an imaged vascular vessel tree (VVT) surrounding a stenosed vessel segment (SVS) and configured to provide a second three-dimensional model (3DM2) of a pressure wire insertable into the vascular vessel tree (VVT); and a processor (20) configured to calculate a first blood flow (Q1) through the stenosed vessel segment (SVS) with the pressure wire (PW) inserted into the vascular vessel tree (VVT) based on the first and the second three-dimensional model and to calculate a second blood flow (Q2) through the stenosed vessel segment (SVS) without the pressure wire (PW) inserted into the vascular vessel tree (VVT) based on the first three-dimensional model (3DM1) and to determine a first fractional flow reserve value (FFR1) to be measured with the pressure wire (PW) inserted into the vascular vessel tree (

Abstract: Systems, methods, and computer-readable media are provided for identification of patients having an elevated near-term risk of chronic kidney disease progression, including quantitatively predicting whether or not an elevated risk of progression of Stage 3 or Stage 4 chronic kidney disease is likely within a time interval of up to 36 months subsequent to computing the prediction. Based on the prediction, appropriate care providers may be notified so that the risk of CKD progression may be mitigated. In some embodiments, serial measurements are obtained of urine osmolality, and a challenge with an AVP V2 antagonist and serum sodium concentration is provided. From a time series based on the serial measurements, estimates of each variable's velocity and/or doubling-time may be determined. These values then may be combined via a multivariable mathematical model for providing a leading indicator of near-term future abnormalities in kidney function.

Abstract: Systems and methods facilitate segmenting a dermoscopy image of a lesion to facilitate classification of the lesion. A dermoscopy image is received from an image source; pre-processed; and segmented. Segmenting the pre-processed dermoscopy image includes applying a thresholding algorithm to the dermoscopy image. The thresholding algorithm includes at least one of a Huang auto-thresholding algorithm, a Li auto-thresholding algorithm, a Shanbhag auto-thresholding algorithm, an Otsu auto-thresholding algorithm, or an Isodata thresholding algorithm. A weighted border error metric is provided to allow prediction of whether segmentation is likely to avoid excluding portions of the lesion. A test is provided for determination of whether image inversion is needed for the methods to provide optimal borders. An iterative expansion algorithm is provided to for determine whether expansion is needed for the methods to provide optimal borders and to determine the degree of expansion needed for more inclusive segmentation.

Abstract: The invention is a method for organizing biomedical resource information and generating images and text by depicting, describing and relating biological structures, biological measurements and biological processes through the association of digital graphs and digital templates, the computer programmes and databases for performing the method, and the images, text and animations so generated. The method makes use of rules to lay out circuit diagrams consisting of depictions of biological processes, measurements, and biological structures that participate in biological processes. In the circuit diagram the transition process of physical entities such as materials, or forms of energy like heat, or energy density like pressure, is drawn as a graph of lines and nodes. In the circuit diagram, the biological structures conveying or participating in the transition process are drawn as two-dimensional or three-dimensional layered units representing the structure of conveying conduits and their content.

Abstract: One describes a system (1) for monitoring hand-cleaning practices in a hospital environment, the system (1) comprising a set of sensors (2, 3, 4, 5) configured as at least one from: at least one infrared sensor (2) establishing a heat detection zone (20), at least one from a contact sensor (3) and a movement sensor (4) associated to at least one article (10, 10?, 10?) of the hospital environment, at least one actuation sensor (5) of an aseptic substance dispenser (6), the set of sensors (2, 3, 4, 5) being configured to generate a plurality of cleaning signals (11, 11?), the cleaning signals (11, 11?) being associated to a hand-cleaning event, the system further comprising a wearable device (15) to be worn by a user of the system, the wearable device (15) being configured to generate a virtual environment (16) visible to the user, a plurality of indicators (26, 27, 28, 45) related to the cleaning signals (11, 11?) being displayed in the virtual environment (16).

Abstract: Methods and systems for detecting foreign material within a product stream in real-time, involve illuminating a portion of the agricultural product stream with light spanning a wavelength range including or within near-infrared and/or shortwave infrared wavelengths; scanning a line of the illuminated agricultural product stream to acquire a hyperspectral image of the line, the hyperspectral image of the line having a width of a single pixel; processing the hyperspectral image of the scanned line to obtain spectrum data for one or more pixels of the hyperspectral image of the scanned line; comparing the obtained spectrum data of the one or more pixels to predetermined spectrum data to determine whether the obtained spectrum data is indicative of foreign material within the scanned line of the agricultural product stream.

Abstract: An anatomically-shaped, human bone graft may be cultivated ex vivo using a bioreactor capable of perfusing large complex porous scaffolds. Scaffolds derived from image-based modeling of a target are seeded with human mesenchymal stem cells and cultivated. A bioreactor configured to house complex three-dimensional scaffold geometries provides controlled flow for perfusion of the cells. Dense uniform cellular growth can be attained throughout the entire scaffold as a result of the medium perfusion. In an embodiment, the bioreactor has a mold into which perfusion medium is pumped under pressure and multiple ports through which the medium exits the mold.

Abstract: A framework for isolating an aneurysm and parent vessel in volumetric image data is provided herein. In accordance with one aspect, the framework generates a refined mask by performing region growing starting at an aneurysm dome point to eliminate vessels that are indirectly connected to an aneurysm or parent vessel in volumetric image data. A final mask may be generated based at least in part on the refined mask by eliminating any kissing vessel connected with the aneurysm from the refined mask. The final mask may then be used for segmentation of the aneurysm and the parent vessel in the volumetric image data.

Abstract: A control circuit facilitates providing a user interface to facilitate developing a radiation-treatment plan for a given patient, the user interface comprising, at least in part, an opportunity to select an automated multi-step radiation-treatment plan development capability. Upon detecting a user's selection of this automated multi-step radiation-treatment plan development capability, these teachings then provide for automatically carrying out a plurality of steps wherein at least some of the plurality of steps pertain to other than optimizing a radiation dosing. These steps are carried out without requiring further interaction with the user and yield at least one output radiation-treatment plan that is specific to the given patient and that is administrable as yielded.

Abstract: Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients.

Abstract: A method and system for determining hemodynamic indices, such as fractional flow reserve (FFR), for a location of interest in a coronary artery of a patient is disclosed. Medical image data of a patient is received. Patient-specific coronary arterial tree geometry of the patient is extracted from the medical image data. Geometric features are extracted from the patient-specific coronary arterial tree geometry of the patient. A hemodynamic index, such as FFR, is computed for a location of interest in the patient-specific coronary arterial tree based on the extracted geometric features using a trained machine-learning based surrogate model. The machine-learning based surrogate model is trained based on geometric features extracted from synthetically generated coronary arterial tree geometries.

Abstract: The systems may include superimposing a canvas layer having a pixel system over the digital map; aligning the coordinate system of the digital map with the pixel system of the canvas layer; obtaining a location coordinate of the coordinate system to each site of interest of a plurality of sites of interest, wherein the location coordinate is associated with a location of the site of interest on the digital map; associating the location coordinate for the site of interest with a pixel in the pixel system; and creating a marker on the canvas layer on the pixel associated with the location coordinate for the site of interest.

Abstract: A network analysis method may include identifying a data plane for routing traffic through a network that includes one or more forwarding tables for each switch of a plurality of switches in the data plane. The method may also include generating an edge-labeled graph, wherein each edge of the edge-labeled graph is associated with one or more atoms to represent an Internet Protocol (IP) prefix of a forwarding rule of the data plane. Further, the method may include initializing a network summary of the network as a transitive closure of the edge-labeled graph. In addition, the method may include updating the edge-labeled graph to generate an updated edge-labeled graph in response to a modification of a forwarding table of the one or more forwarding tables. Moreover, the method may include determining a transitive closure of the updated edge-labeled graph, and updating the network summary based on the network summary and the transitive closure of the updated edge-labeled graph.

Abstract: The present invention related to immunotherapeutic peptides and their use in immunotherapy, in particular the immunotherapy of cancer. Specifically, the invention provides a method of identifying tumor specific neoantigens that alone or in combination with other tumor-associated peptides serve as active pharmaceutical ingredients of vaccine compositions which stimulate anti-tumor responses.

Abstract: Systems and methods for computer-aided alignment and positioning of a prosthesis component onto a target host bone, such as in joint resurfacing arthroplasty, are discussed. A system for can include a processor unit and a user interface unit. The processor unit can receive a target bone model including a first data set representing a target bone surface, and a prosthesis model including a second data set representing a prosthesis surface. The prosthesis, when positioned against the target bone, is configured to at least partially replace the articulation surface. The processor unit can generate an articulation interface representation that indicates spatial misalignment between one or more portions of the prosthesis surface and one or more portions of the target bone surface when the prosthesis model is positioned against the target bone model.

Abstract: A device comprising a display, a user interface configured to receive gesture input, and a processor is provided. The device is configured to electronically detect, with the user interface, at least one gesture input from the user in an approximately circular motion that traces a substantially closed curve without corners about a point on the user interface. The device is configured to display, on a portion of the display, a polygonal shaped chemical structure symbol representing a polygonal ring of carbon atoms in response to the detecting, the polygonal ring having a set number of vertices representing a set number of carbon atoms. A non-transient computer readable medium having instructions stored thereon that cause a device comprising a display, a user interface configured to receive gesture input, and a processor to perform a method is also provided.

Abstract: This disclosure relates to peptides useful for targeting inflamed or distressed tissue and uses related thereto. In certain embodiment, the peptides comprise SEQ ID NO: 1-14, or variants or derivatives thereof. In certain embodiments, peptides disclosed herein are conjugated to a label to detect, measure, or image cardiac tissue useful in the diagnosis of myocarditis. In certain embodiments, the peptides are conjugated to a particle coating for use in ultrasound imaging, MRI, or targeted therapy. In certain embodiments, peptides disclosed herein are conjugated to a drug or a particle containing a drug useful for targeted therapy.

Abstract: Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising acquiring a geometric model of at least a portion of a patient's vascular system; obtaining one or more geometric quantities of one or more blood vessels of the geometric model of the patient's vascular system; determining the presence or absence of a pathology characteristic at a location in the geometric model of the patient's vascular system; generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and optimizing the objective function using computational fluid dynamics and structural mechanics analysis to identify a plurality of device variables that result in desired hemodynamic and solid mechanics characteristics.

Abstract: Disclosed herein are a model training method, a data recognizing method, and a model training apparatus. A model training method includes selecting a teacher model from a plurality of teacher models; receiving, at a student model, input data; and training the student model based on output data of the selected teacher model, the output data corresponding to the input data.

Abstract: A method for monitoring oestrus of a cattle animal, for example a cow. The method includes: a) collecting activity data of the animal, b) computing a current activity level based on the activity data, c) deciding whether to generate an oestrus attention signal by comparing at least one current activity level to a corresponding baseline activity level. The computing b) further includes b1) detecting travelling movements of the animal and b2) correcting the baseline activity level for detected travelling movements.

Abstract: Conventionally, it has been impossible to output an image that allows for an easy and accurate diagnosis as to whether or not a malignant tumor is present and that allows for correctly indicating a part with a high or low grade of malignancy in the tumor.

Abstract: A method for producing a living tissue and organ includes: collecting medical image information of a target tissue and organ, and converting the medical image information into three-dimensional image information; performing machine recognition and multiple feature comparisons on the three-dimensional image information, and generating a primary three-dimensional model according to physiological structure data of tissues and organs in a tissue and organ database and a residual profile of the target tissue and organ; generating a complete three-dimensional model by producing an internal microstructure of the primary three-dimensional model with reference to the tissue and organ database; producing a full-scale physical model based on the complete three-dimensional model by an additive manufacturing process; and performing a living cell-based tissue reconstruction in the full-scale physical model to produce a living tissue and organ.

Abstract: A method and system for measuring psychological stress disclosed. In a first aspect, the method comprises determining R-R intervals from an electrocardiogram (ECG) to calculate a standard deviation of the R-R intervals (SDNN) and determining a stress feature (SF) using the SDNN. In response to reaching a threshold, the method includes performing adaptation to update a probability mass function (PMF). The method includes determining a stress level (SL) using the SF and the updated PMF to continuously measure the psychological stress. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to carry out the steps of the method.

Abstract: This invention relates to improved methods and apparatus for recording and simulating the condylar movement of an individual. This invention also provides a digital dental articulator method which is designed to simulate the jaw or condylar movements of a patient. This instrument enables a dentist to obtain the necessary diagnostic information for treatment of the occlusal irregularities, such as malocclusion, and the fabrication of dental restorations or “dentures” and for the development of an orthodontic treatment plan.

Abstract: Subject matter disclosed herein may relate to systems, devices, and/or processes for tracking signals and/or states representative of behavioral and/or biological state.

Abstract: Provided are methods for determining data defining an estimate of the thickness and density of a cortical bone tissue structure of interest from imaging data. The methods can include modelling measured variations of an imaging parameter along a line crossing a cortical bone tissue structure of interest as a function having a thickness parameter, a first density parameter, and a blur parameter; determining a thickness-density relationship between bone tissue structure density and bone tissue structure thickness from multiple thickness and density measurements made on a reference cortical bone tissue structure of a subject which is not the patient; and fitting the function to the measured variations while ensuring the first density parameter and thickness parameter follow the thickness-density relationship, to search for optimal values that include data defining an estimate of the thickness and density of the cortical bone tissue structure of interest.

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: A situational awareness analysis and fatigue management system including a processor that receives input data from a user, generates a set of algorithms from the input data, calculates outputs of each of the set of algorithms, and generates and displays a dynamic assessment situational awareness (DASA) diagram of the user as a function of situational awareness performance and wakefulness hours of the user from the calculated output. Using the DASA diagram, the processor identifies situational awareness longevity conditions of the user to perform a task, forecasts advanced fatigue conditions of the user based on the identified situational awareness longevity conditions and identifies improvements of situational awareness performance of the user to perform the task. The processor displays the identified situational awareness longevity conditions, the forecast of advanced fatigue conditions and the improvements of situational awareness performance of the user to perform the task to one or more second users.

Abstract: A method and system for modeling trends in crop yields is provided. In an embodiment, the method comprises receiving, over a computer network, electronic digital data comprising yield data representing crop yields harvested from a plurality of agricultural fields and at a plurality of time points; in response to receiving input specifying a request to generate one or more particular yield data: determining one or more factors that impact yields of crops that were harvested from the plurality of agricultural fields; decomposing the yield data into decomposed yield data that identifies one or more data dependencies according to the one or more factors; generating, based on the decomposed yield data, the one or more particular yield data; generating forecasted yield data or reconstructing the yield data by incorporating the one or more particular yield data into the yield data.

Abstract: Laboratory testing plays a significant and growing role in the delivery of medical services. Fresh analysis of past test results has led to discovery of previously unknown correlations between statistical properties of analyte values and parameters such as age, sex, and region. Observed values in patient populations have also newly been discovered to show both secular and regular periodic variations over time. Embodiments of the invention may use information about these correlations to improve quality control and other statistical analysis of patient samples by applying adjusted reference ranges to quality control methodologies, and providing a quality control grade for patient samples based on the adjusted reference ranges.

Abstract: A method for avoiding impingement between an implanted prosthetic hip stem and acetabular cup uses at least one digital x-ray of a standing patient preferably including a lateral x-ray to determine a pelvic tilt angle of the patient. A hip stem is virtually implanted at an initial stem version angle into a virtual femur constructed from the digital x-ray. Data of at least one hip joint motion is obtained from at least one individual. A range of inclination and anteversion angles is calculated for a virtually implanted acetabular cup that avoids impingement with the virtually implanted hip stem. The calculated range of inclination or anteversion angles is based at least in part on the pelvic tilt angle of the patient, the initial hip stem version angle and the obtained joint motion data.

Abstract: In some examples, a computing device may receive sensor data for a target and at least one of: log data for the target, or historical log data and historical sensor data for a plurality of other targets. The computing device may determine at least one event classified as a non-uniform event in at least one of the log data or the historical log data, and may determine combined features, such as a feature vector, based on the sensor data and the non-uniform event(s). The computing device may determine an analysis result from the combined features. Further, based on the analysis result, the computing device may send a control signal to a device associated with the target for controlling the device, and/or may send a communication related to the target to another computing device.

Abstract: A method of producing ethanol includes: measuring a xylose concentration in a culture fluid that contains microorganisms having xylose utilizing ability, the culture fluid including a culture medium that contains saccharides derived from lignocellulose; and performing an addition control in which an additional culture medium is added to the culture fluid to conduct a continuous culture of the microorganisms, the additional culture medium containing saccharides derived from lignocellulose.

Abstract: A method for computing a three-dimensional (3D) model of an object includes: receiving, by a processor, a first chunk including a 3D model of a first portion of the object, the first chunk being generated from a plurality of depth images of the first portion of the object; receiving, by the processor, a second chunk including a 3D model of a second portion the object, the second chunk being generated from a plurality of depth images of the second portion of the object; computing, by the processor, a registration of the first chunk with the second chunk, the registration corresponding to a transformation aligning corresponding portions of the first and second chunks; aligning, by the processor, the first chunk with the second chunk in accordance with the registration; and outputting, by the processor, a 3D model corresponding to the first chunk merged with the second chunk.

Abstract: At least one first 3D image dataset of an examination region of interest of a patient and a second 3D image dataset of the examination region of interest are received via at least one first interface. A geometric model of the examination region of interest is determined based at least on the first 3D image dataset, and a first spatial distribution of a first material property of the examination region of interest is determined based at least on the second 3D image dataset. A digital manufacturing model of an object is generated based on the geometric model and on the first spatial distribution, the manufacturing model having a material composition of the object that is dependent on the first distribution. The manufacturing model therefore takes into account the geometry and the first material property of the examination region of interest.

Abstract: A medical system is provided for three-dimensional hemodynamic quantification. Comprehensive three-dimensional (3D) plus time (3D+t) assessment of flow patterns inside the heart are provided by a combination of lumped-parameter modeling and computational flow dynamic modeling. Using medical scanning, the lumped parameter model is personalized to a given patient. The personalized lumped-parameter model provides pressure curves (i.e., pressure as a function of time) for one or more locations. Using geometry of the patients heart segmented from the medical scanning and the pressure curves as boundary conditions, the computational flow dynamics model calculates the absolute pressure for any location (e.g., for a three-dimensional field of locations) in the patient heart at any one or more phases of the cardiac cycle. More accurate absolute pressure may be provided without invasive measurement.

Abstract: A robot teaching system and control method thereof are disclosed. In robot teaching system, a haptic device generates pieces of teaching data to a robot, so that the robot moves and rotates according to the pieces of teaching data, and a force sensor captures first feedback data corresponding to the motion and rotation of the robot and outputs a feedback signal, which corresponds to the first feedback data, to the haptic device. Thus, the user, who controls the haptic device, can understand the situation of the robot and react to the situation immediately, so as to avoid the risk for lack of user's instant reaction to the situation of the robot in the conventional robot teaching system.

Abstract: Described herein are structures and techniques for highly-connected qubit interaction using a “paramagnetic tree coupling” scheme. In one embodiment, a structure for providing highly-connected qubit interaction includes a plurality of qubits and, for each of the plurality of qubits, a paramagnetic medium connecting the qubit to each other one of the plurality of qubits, where the paramagnetic medium includes a series of inductive couplers.

Abstract: A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.

Abstract: A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.

Abstract: A visualization apparatus includes a memory unit and a computing unit. The memory unit stores a circulation model in which a vascular network, of an organ, having a diameter equal to or smaller than a predetermined value is defined on a two-dimensional plane, and a simulation result of a blood flow in the vascular network of the circulation model. The computing unit transforms the circulation model into a three-dimensional structure including the vascular network located on a cylindrical surface of a cylinder, and displays the simulation result on the three-dimensional structure.

Abstract: A dermoscopic lesion area is identified by: Obtaining a dermoscopic image and running a convolutional neural network image classifier on the dermoscopic image to obtain pixelwise lesion prediction scores. Segmenting the dermoscopic image into super-pixels, and computing for each super-pixel an average of the pixelwise prediction scores for pixels within that super-pixel. Computing a mean prediction score across the plurality of super-pixels. Assigning a confidence indicator of “1” to each super-pixel with a prediction score equal or greater than the mean prediction score, and a confidence indicator of “0” to each super-pixel with a prediction score less than the mean prediction score.

Abstract: An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a vascular tree reconstructor configured to receive vascular image data of a plurality of vascular segments of a patient and create a computerized model of the plurality of vascular segments by combining the vascular image data. The example device also includes a stenosis determiner configured to analyze the model to determine locations of potential lesions. The example device further includes a vascular state score calculator configured to, for each potential lesion, determine a first vascular state scoring tool “VSST”) subscore based on a size of the potential lesion and a second VSST subscore based on a distance of the potential lesion from a branch point in the plurality of vascular segment. The vascular state score calculator calculates a total VSST score by combining the first VSST subscore and the second VSST subscore.