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

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: 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: 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: 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: 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.

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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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.