Abstract: Disclosed is a system for retrieving data records from database arrangement based on search query. The database arrangement comprises plurality of data records that are associated with at least one concept. The system comprises ontological databank and processing arrangement. The ontological databank comprises plurality of concept buckets comprising plurality of concepts. The ontological databank is structured using structuring arrangement communicably coupled to ontological databank. The structuring arrangement comprises classification module to classify plurality of concepts, variant module to generate lexical variants of plurality of concepts, and normalization module to determine validity of plurality of concepts and association of new concept with one of plurality of concept buckets.

Abstract: For training a machine learning system for representing a patient body a plurality of stored medical imaging data sets each representing at least a part of a respective patient are obtained. A first one of the plurality of stored medical imaging data sets represents a different part of the patient body than a second one of the plurality of stored medical imaging data sets. A plurality of landmarks in the stored medical imaging data sets are estimated, and each of the stored medical imaging data sets are aligned to a predefined pose using the plurality of landmarks. A plurality of points in the aligned medical imaging data sets are sampled, and the machine learning system is trained based on at least the plurality of points. The learned parameters of the machine learning system are then stored and used in a method for inferring a body representation.

Abstract: A method of characterizing a specimen in a specimen container includes capturing one or more images of the specimen container, wherein the one or more images include one or more objects of the specimen container, and wherein the capturing generates pixel data from a plurality of pixels. The method further includes identifying one or more selected objects from the one or more objects, displaying an image of the specimen container, and displaying, on the image of the specimen container, one or more locations of pixels used to identify the one or more selected objects. Other apparatus and methods are disclosed.

Abstract: A method of characterizing a serum or plasma portion of a specimen in a specimen container provides an HILN (hemolysis, icterus, lipemia, normal) determination. Pixel data of an input image of the specimen container is processed by a classification network to identify whether the specimen contains plasma or serum. Specimen Pixel data representing a plasma sample are forwarded to a segmentation/classification/regression network trained with plasma samples for HILN determination. Pixel data representing a serum sample are forwarded to a transformation network, wherein the serum sample pixel data is transformed into pixel data that matches pixel data of a corresponding previously-collected plasma sample by changing sample color, contrast, intensity, and/or brightness. The transformed serum sample pixel data are forwarded to the segmentation/classification/regression network for HILN determination.

Abstract: A method of characterizing a specimen as containing hemolysis, icterus, or lipemia is provided. The method includes capturing one or more images of the specimen, wherein the one or more images include a serum or plasma portion of the specimen. Pixel data is generated by capturing the image. The pixel data of the one or more images of the specimen is processed using a first network executing on a computer to predict a classification of the serum or plasma portion, wherein the classification comprises hemolysis, icterus, and lipemia. The predicted classification is verified using one or more verification networks. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.

Abstract: Systems and methods for a reduced interaction CT scanning workflow. A sensor is used to capture an image of a patient on the table. Scan parameters are automatically set. A full CT scan is performed without a scout scan. During the full CT scan, the scan parameters are adjusted based on the raw CT measurements from the full CT scan. A radiology report is automatically generated from the results of the full CT scan.

Abstract: Patient biographic data may be estimated by receiving patient image data, applying the patient image data to a machine learned model, the machine learned model trained on second patient data and trained to map the second patient data to associated biographic data using machine learned features, generating the patient biographic data based on the applying and the machine learned features, and outputting the patient biographic data. The patient biographic data may include a patient weight, a patient height, a patient gender, and a patient age.

Abstract: For patient model estimation from surface data in a medical system, a stream or sequence of depth camera captures are performed. The fitting of the patient model is divided between different times or parts of the sequence, using the streaming capture to distribute processing and account for patient movement. Less manual involvement may be needed due to the regular availability of image captures. Subsequent fitting may benefit from previous fitting.

Abstract: The present disclosure relates to methods, systems, and apparatuses for identifying related records in a database. The method includes receiving, via a network interface, a related records query, the related records query identifying at least one record stored in the electronic database, determining, based on transaction data, at least one related record that is related to the identified at least one record, determining, by a processor, that the at least one related record is unavailable, in response to determining that the at least one related record is unavailable, determining at least one keyword associated with the at least one related record, selecting at least one of one or more substitute records based at least in part on comparing the at least one keyword with a set of keywords associated with one or more substitute records, and providing the selected one or more substitute records as a response to the related records query.

Abstract: The present disclosure relates to devices and methods for determining the density of insulation (e.g., in a cavity). For example, one aspect of the disclosure is a device that includes a probe, an actuator, a sensor, and a control system. The control system is configured to cause the actuator to oscillate the probe. The sensor is configured to generate a signal that represents the density of insulation. Another aspect of the disclosure relates to a method for determining the density of insulation. The method includes placing a probe into contact with the insulation, causing, via an actuator, the probe to oscillate while in contact with the insulation, and generating, via a sensor, a signal that represents the density of insulation.

Abstract: A memory controller includes a large combinational cloud to serve multi-core-to-multi-bank memory accesses which causes congestion and routing delays at physical design level especially in lower technology nodes thus limiting the frequency of operation. Present invention proposes an architecture to process sequences of access requests from multiple processing cores using alternating processing to generate sequences of granted access requests to one or more memory banks. For each processing core, first and second buffers store access requests. When an access request from one buffer is granted, that buffer is configured to receive a new access request and processing is performed to determine whether to grant an access request stored in the other buffer. The invention can maintain optimal bandwidth while providing desired sequences of the granted access requests and solving physical congestion issues.

Abstract: A memory controller includes a large combinational cloud to serve multi-core-to-multi-bank memory accesses which causes congestion and routing delays at physical design level especially in lower technology nodes thus limiting the frequency of operation. Present invention proposes an architecture to process sequences of access requests from multiple processing cores using alternating processing to generate sequences of granted access requests to one or more memory banks. For each processing core, first and second buffers store access requests. When an access request from one buffer is granted, that buffer is configured to receive a new access request and processing is performed to determine whether to grant an access request stored in the other buffer. The invention can maintain optimal bandwidth while providing desired sequences of the granted access requests and solving physical congestion issues.

Abstract: The present invention provides cell compositions, methods of production and its uses in corneal diseases. The invention discloses cell compositions and multilayer cell compositions comprising limbal epithelial cells and limbal stromal cells. The inventions are highly efficacious and represents an advancement over the existing therapeutic approaches in treatment or prevention of corneal diseases. The invention also discloses methods for preparing the compositions, methods of treatment and the uses of the composition in preventing and treating corneal diseases.

Abstract: A system and method for sharing information includes displaying on a screen of a mobile device data fields that include a machine-readable code (e.g., QR code) and visual indicia corresponding to information that is to be shared by a user of the mobile device. The user selects which information is to be shared by selecting or unselecting the corresponding visual indicia and the machine-readable code updates in real-time to include the information corresponding to the selected visual indicia. The information is stored as a URI-encoded serialized data object in a parameter portion of the URI of the machine-readable code.

Abstract: A method of training a neural network (Convolutional Neural Network-CNN) including reduced graphical annotation input is provided. The training method can be used to train a Testing CNN that can be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a test specimen. The training method includes capturing training images of multiple specimen containers including training specimens, generating region proposals of the serum or plasma portions of the training specimens; and selecting the best matches for the location, size and shape of the region proposals for the multiple training specimens. The obtained features (network and weights) from the training CNN can be used in a testing CNN. Quality check modules and testing apparatus adapted to carry out the training method, and characterization methods using abounding box regressor are described, as are other aspects.

Abstract: Disclosed is a system for retrieving data records from database arrangement based on search query. The database arrangement comprises plurality of data records that are associated with at least one concept. The system comprises ontological databank and processing arrangement. The ontological databank comprises plurality of concept buckets comprising plurality of concepts. The ontological databank is structured using structuring arrangement communicably coupled to ontological databank. The structuring arrangement comprises classification module to classify plurality of concepts, variant module to generate lexical variants of plurality of concepts, and normalization module to determine validity of plurality of concepts and association of new concept with one of plurality of concept buckets.

Abstract: A system and method for sharing communication platform data includes displaying on a screen of a mobile device data fields a QR code and visual indicia corresponding to contact information corresponding to a user of the mobile device. The user selects which contact information is to be shared by selecting or unselecting the corresponding visual indicia and the QR code updates in real-time to include the contact information corresponding to the selected visual indicia. The contact information is stored as a URI-encoded serialized data object in a parameter portion of the URI of the QR code.

Abstract: A framework for sensor-based patient treatment support. In accordance with one aspect, one or more sensors are used to acquire sensor data of one or more objects of interest. The sensor data is then automatically interpreted to generate processing results. One or more actions may be triggered based on the processing results to support treatment of a patient, including supporting medical scanning of the patient.