Abstract: There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.

Abstract: A framework for processing medical images. The framework may include receiving a target medical image, a reference medical image and at least one marker associated with a location in the reference medical image. A corresponding location of the at least one marker is determined in the target medical image. The target medical image is overlaid with the at least one marker at the determined corresponding location to provide an overlaid image. Display data is generated to cause a display device to display the overlaid image.

Abstract: An irrigation system for an area receives wide-area meteorological prediction data and sensors deployed within the area collect local-area sensor data. A processor stores received data as historical wide-area meteorological prediction data and data from the sensors as historical local-area sensor data. The processor determines a relationship between the historical wide-area meteorological prediction data and the historical local-area sensor data based on the historical wide-area meteorological prediction data and the historical local-area sensor data, and calculates a prediction on a local-area parameter for a future point in time based on current wide-area meteorological prediction data, and the calculated relationship. The area is then controlled based on the prediction.

Abstract: A computer implemented method and apparatus determines a body region represented by medical imaging data stored in a first image file. The first image file further stores one or more attributes each having an attribute value comprising a text string indicating content of the medical imaging data. One or more of the text strings of the first image file are obtained and input into a trained machine learning model, the machine learning model having been trained to output a body region based on an input of one or more such text strings. The output from the trained machine learning model is obtained thereby to determine the body region represented by the medical imaging data. Also disclosed are methods of selecting one or more sets of second medical imaging data as relevant to first medical imaging data.

Abstract: There is disclosed a method and apparatus for annotating a first portion of medical imaging data with one or more words corresponding to a respective one or more features represented in the first portion of medical imaging data. A similarity metric indicating a degree of similarity between the first portion and each of a plurality of second portions of reference medical imaging data is determined, at least one of the plurality of second portions being annotated with one or more first words corresponding to a respective one or more features represented in the second portion. A second portion is selected based on the similarity metrics, and the first portion is annotated with the one or more first words with which the second portion, selected for the first portion, is annotated.

Abstract: A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.

Abstract: A computer implemented method and apparatus for determining a location at which a given feature is represented in medical imaging data is disclosed. A first descriptor for a first location in first medical imaging data is obtained. The first location is the location within the first medical imaging data at which the given feature is represented. A second descriptor for each of a plurality of candidate second locations in second medical imaging data is obtained. A similarity metric indicating a degree of similarity with the first descriptor is calculated for each of the plurality of candidate second locations. A candidate second location is selected from among the plurality of candidate second locations based on the calculated similarity metrics. The location at which the given feature is represented in the second medical imaging data is determined based on the selected candidate second location.

Abstract: Computer-implemented methods and systems for identifying corresponding slices in medical image data sets are provided. For example, the systems and methods are based on identifying corresponding slices by systematically quantifying image similarities between the slices comprised in one medical image data set and the slices comprised in another medical image data set.

Abstract: A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.

Abstract: A microfluidic device has a cavity in which a functionalized mesh is arranged in a layered configuration to provide a high surface area. The cavity is housed in a body that is easily configured for sample flow to concentrate the analyte, heat release of the analyte from the mesh, and elution of the released analyte. The microfluidic device can be used in a variety of applications by functionalizing the mesh with a suitable affinity media.

Abstract: Footwear is provided which comprises: an outsole comprising multiple interlocking outsole portions; and means for urging at least a first one of the multiple outsole portions away from at least a second one of the multiple outsole portions, thereby expanding the outsole. The multiple interlocking outsole portions might include interlocking teeth. The means for urging might include at least one of an expandable footbed and an expansion screw.

Abstract: A computer-implemented method is for clinical decision support. In an embodiment, the method includes receiving patient data of a target patient; determining, based on the patient data, a number of potential clinical outcomes associated with the target patient; calculating, for each respective potential clinical outcome, a respective probability of being indicated by the patient data; selecting, based on the plurality of probabilities calculated, one or more anamnestic questions from a set of anamnestic questions stored; presenting the one or more anamnestic questions selected to a user via a user interface; receiving one or more answers to the one or more anamnestic questions selected, from the user; and adapting the plurality of probabilities based upon the one or more answers received.

Abstract: An irrigation system for an area receives wide-area meteorological prediction data and sensors deployed within the area collect local-area sensor data. A processor stores received data as historical wide-area meteorological prediction data and data from the sensors as historical local-area sensor data. The processor determines a relationship between the historical wide-area meteorological prediction data and the historical local-area sensor data based on the historical wide-area meteorological prediction data and the historical local-area sensor data, and calculates a prediction on a local-area parameter for a future point in time based on current wide-area meteorological prediction data, and the calculated relationship. The area is then controlled based on the prediction.

Abstract: This disclosure relates to an irrigation system for an agricultural production area. The system receives wide-area meteorological prediction data and sensors deployed within the agricultural production area collect local-area sensor data. A processor stores received data as historical wide-area meteorological prediction data and data from the sensors as historical local-area sensor data. The processor determines a correlation between the historical wide-area meteorological prediction data and the historical local-area sensor data based on the historical wide-area meteorological prediction data and the historical local-area sensor data, and calculates a prediction on water supply relative to water demand within the agricultural production area based on current wide-area meteorological prediction data, and the calculated correlation.

Abstract: A microfluidic test apparatus including a microfluidic device having a first reservoir for receiving a first fluid containing a sample of cells, a microfluidic test region, a first microfluidic pathway provided between the microfluidic test region and the first reservoir; and a port for connection to a pump, the apparatus including a first pump connected to the port and configured to pump a priming fluid into the port, a second pump connected to the port and configured to apply suction at the port when operated and a controller configured to control operation of the first and second pumps, where the controller operates the first pump to prime the microfluidic device and operates the second pump to draw a test volume from the first reservoir into the microfluidic test region.

Abstract: A microfluidic device has a cavity in which a functionalized mesh is arranged in a layered configuration to provide a high surface area. The cavity is housed in a body that is easily configured for sample flow to concentrate the analyte, heat release of the analyte from the mesh, and elution of the released analyte. The microfluidic device can be used in a variety of applications by functionalizing the mesh with a suitable affinity media.

Abstract: A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.

Abstract: This disclosure relates to an irrigation system for an agricultural production area. The system receives wide-area meteorological prediction data and sensors deployed within the agricultural production area collect local-area sensor data. A processor stores received data as historical wide-area meteorological prediction data and data from the sensors as historical local-area sensor data. The processor determines a correlation between the historical wide-area meteorological prediction data and the historical local-area sensor data based on the historical wide-area meteorological prediction data and the historical local-area sensor data, and calculates a prediction on water supply relative to water demand within the agricultural production area based on current wide-area meteorological prediction data, and the calculated correlation.

Abstract: A therapeutic device for relieving an affected organ or part of the body comprises a mass of material such as beeswax which in use is capable of maintaining a temperature range of 36 to 38 degrees Celsius at the affected part of the body when retained on the skin near the affected part. The invention also extends to articles of apparel containing such a therapeutic device.

Abstract: In a method for operating a medical technology facility with a medical technology device for examining and/or treating a patient, wherein the medical device has a control console for making settings to the medical device throughput of examined and/or treated patients is improved by providing an input interface designed to be operated remotely from the control console. Through this input interface patient data are acquired for the patient and through a central coordination device of the system, the acquired patient data are received from the input interface and transmitted to the control console. Through the control console, the patient data are then displayed and/or settings are made to the medical device as a function of the patient data.