Abstract: A sensor device for a towing vehicle coupling with which a trailer vehicle is coupleable to a towing vehicle wherein the towing vehicle coupling has a coupling element for releasably coupling a coupling mating element, which elements are secured to the towing vehicle and the trailer vehicle, and when coupled rotate relative to each another about at least one joint rotational axis, forming a joint, wherein the sensor device has a follower which: is mounted on a bearing body such that it can rotate relative to the coupling element about a follower rotational axis; can be rotatably carried about the follower rotational axis by the rotation of the coupling mating element about the at least one joint rotational axis in order to sense a rotation of the coupling mating element relative to the coupling element about the at least one joint rotational axis, and wherein the sensor device has at least one sensor for sensing a respective rotational position of the follower relative to the bearing body in relation to the f

Abstract: Methods and apparatus for predicting an association between input data in a first modality and data in a second modality using a statistical model trained to represent interactions between data having a plurality of modalities including the first modality and the second modality, the statistical model comprising a plurality of encoders and decoders, each of which is trained to process data for one of the plurality of modalities, and a joint-modality representation coupling the plurality of encoders and decoders. The method comprises selecting, based on the first modality and the second modality, an encoder/decoder pair or a pair of encoders, from among the plurality of encoders and decoders, and processing the input data with the joint-modality representation and the selected encoder/decoder pair or pair of encoders to predict the association between the input data and the data in the second modality.

Abstract: A planetary wheel type obstacle crossing robot, including a frame, a front drive set, and a rear drive set, is provided. The front drive set and the rear drive set are respectively connected to a front end and a rear end of the frame. The front drive set includes a dual-drive steering wheel structure, which includes two drive wheels and two first drive devices. The first drive devices respectively output different rotational speeds to the drive wheels, so that the dual-drive steering wheel structure rotates. The rear drive set includes two planetary wheel sets, two second drive devices, and a planetary wheel set suspension structure. Each planetary wheel set is individually driven and includes a front wheel, a rear wheel, and an upper wheel. The wheels of each planetary wheel set cooperate to climb over an obstacle under an action of a driving torque output by the second drive device.

Abstract: The present embodiments relate to a steer-by-wire-type steering apparatus, and may provide a steer-by-wire-type steering apparatus comprising: an outer member which is rotated by a driving motor and has oblique grooves formed in the inner circumferential surface thereof; an inner member which is formed in a cylindrical shape and spaced inward from the inner circumferential surface of the outer member, fixed to a steering column, and provided with a guide part open in a radial direction; a sliding member, of which the outer surface is supported by the oblique grooves when the outer member rotates, and which moves along the guide part in an inward radial direction; and a support member which moves in the radial direction in association with the sliding member, and which supports the outer circumferential surface of the steering shaft and thereby prevents the steering shaft from rotating.

Abstract: Disclosed is a method of training the dementia identification model. More particularly, the method may include obtaining test result data through at least one of a first task related to Stroop test, a second task related to a computational power test, and a third task related to a memory test; and labeling the test result data with a score value to train the dementia identification model.

Abstract: A computer-implemented method includes a first module of a computing system receiving application-specific data for determining utilization attributes of multiple application programs. A second module of the system receives data for determining patient archetypes. A third module of the system determines a clinical benefit of each application program based on analysis of the application-specific data. The system matches an application program with a particular patient archetype based on analysis of each patient archetype and the determined clinical benefit of the application program. The system selects a particular application program for use by a patient of a first patient group based on: i) a characteristic of the first patient group that is included in a first patient archetype; and ii) the clinical benefit of the particular application exceeding a threshold clinical benefit.

Abstract: A strategic decision support system is disclosed. The system can filter content received from a remote database coupled to a network to provide a graphical user interface to enable strategic decision making to expand utilization of a product. The system can include a local client computer to generate access to content stored in the remote database, at least one filtering scheme, a set of selectable filters configured to filter the content stored in the remote database according to the at least one filtering scheme, and a remote server coupled to the local client computer via the network to analyze access restrictions to the product based on a selected filter and the at least one filtering scheme to generate a graphical user interface displayed on the local client computer.

Abstract: Methods for analyzing omics data and using the omics data to determine prognosis of a cancer, to predict an outcome of a treatment, and/or to determine an effectiveness of a treatment are presented. In preferred methods, blood from a patient having a cancer or suspected to have a cancer is obtained and blood omics data for a plurality of cancer-related, inflammation-related, or DNA repair-related genes are obtained. A cancer score can be calculated based on the omics data, which then can be used to provide a cancer prognosis, a therapeutic recommendation, an effectiveness of a treatment.

Abstract: A method for providing a healthcare system. The method comprises a machine learning system: obtaining and labelling patient data to produce labelled patient data relating to one or more patients; determining one or more predictions based on the labelled patient data; receiving, from a user, one or more user inputs labelling each of the one or more predictions as a success or a failure; generating training data based on the labelled patient data and the one or more user inputs; and training the machine learning system based on the training data.

Abstract: A system is provided to monitor, over time, one or more physical variables related to a severity or progression of a movement disorder and/or of symptoms thereof. The monitored physical variables can include speech sounds; keyboard outputs; or accelerations, rotations, or other properties of the motion of one or more body parts. The system operates to detect, based on the monitored one or more physical variables, potential changes in the degree and/or character of the movement disorder symptoms. In response to detecting such a potential change, the system provides the user with one or more tasks that the user can perform. The system detects one or more properties of the user's performance and, based on that detection, determines the severity or progression of the movement disorder. The tasks can include stepping, turning, standing, sitting, reaching, typing, pointing, manipulating an object, speaking into a microphone, or other tasks.

Abstract: Solid waste, for example source separated organics (SSO) or commercial and industrial (C&I) waste or both, are treated by first pressurizing the waste against a screen to produce a solids fraction and a liquid fraction. The liquid fraction can be treated in an anaerobic digester. The solids fraction is pulverized or milled, for example with a hammer mill, preferably after being diluted. The pulverized or milled waste is separated again to provide a second solids faction and a second liquid fraction. The liquid fraction can be treated in an anaerobic digester. The solids fraction is primarily inert and can be landfilled, preferably after being washed.

Abstract: A method and processor for generating a 3D-platform representation of a tooth-specific platform for attachment of a dental appliance to a tooth of a patient are disclosed. The method includes acquiring a 3D-tooth representation of the tooth, and defining an attachment zone on the surface of the 3D-tooth representation. The attachment zone has a zone perimeter enclosing a surface portion of the 3D-tooth representation corresponding to a surface portion of the tooth to which the tooth-specific platform is to be attached. The method also includes generating the 3D-platform representation having (i) a tooth-oriented surface matching the surface portion of the 3D-tooth representation and having a perimeter matching the zone perimeter, (ii) a perimeter wall extending between the tooth-oriented surface and the tooth-opposite surface and away from the surface portion, and (iii) a tooth-opposite surface matching an expanded surface portion of the 3D-tooth representation.

Abstract: Aspects of the invention include includes identifying a respective estimated clinical risk score for each of a first group of patients and a second group of patients. An alternative probability estimate is generated using a same set of inputs used to determine each respective estimated clinical risk score. An unreliability of a patient's clinical risk score is determined based at least in part on a feature of the patient and on a difference between the alternative probability estimate and the determined respective estimated clinical risk score.

Abstract: Method, apparatus, and computer-readable media providing medical personnel artificial intelligence (AI)-derived data regarding a patient presenting neurological indications includes a guidance server. Preferably, the guidance server receives three or more of: (i) natural language input from medical personnel, (ii) real-time vital signs telemetry data, (iii) neurosurgical treatment database information, (iv) neurosurgical treatment guideline information, (v) clinical laboratory testing results, (vi) patient historical data, and (vii) patient imaging information. An imaging post-processor receives (i) patient imaging history information, (ii) and real-time patient imaging data, and provides to the guidance server the patient imaging information. The guidance server then provides one or more alerts (or other guidance) to the medical personnel.

Abstract: A computer apparatus to assist diagnosis of a patient including: a memory storing instructions for execution and an output for results of a processor that provides a patient builder and a vertex filter. Where the builder inputs patient data including historical clinical; and open data, and to create a patient clinical object, PCO, graph; and a full patient graph PCOs for each patient. The filter includes: a context builder to build a domain based on a specification and open data; a context-based vertex filter ranking vertices in the full patient graph based on domain affiliation, retaining any vertices with high domain affiliation; and computing a similarity between the patient PCO and other PCOs in the full patient graph using the retained vertices; and a patient ranker ranks the PCOs according to t similarity where the output lists patients similar to the patient to suggest patient diagnoses.

Abstract: A system for providing customized treatment information for behavioral control of dental patients. The system may include a management server, a hospital server, a waiting room terminal, a terminal determination unit, and a treatment room server. The management server may include an arithmetic process unit and a management server extraction unit. The hospital server may include a hospital server transmission/reception unit. The waiting room terminal may include a terminal extraction unit, a terminal output unit, and a terminal determination unit. The treatment room server may include a treatment server extraction unit, a treatment room server output unit, and a treatment room server determination unit.

Abstract: A computer system, computer-implemented method, and computer program product include a processor(s) (executing code) that obtains a data set(s) related to a patient population diagnosed with a medical condition a database(s). The processor(s) identifies common features, generates patterns of the common features, and generates machine learning algorithms based on the patterns to identify presence or absence of the given medical condition in an undiagnosed patient. The processor(s) compiles a training set of data and tunes the machine learning algorithms with the training set of data. The processor(s) integrates the machine learning algorithms into a graphical user interface.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine learning to predict micropopulation risk scores and use the micropopulation risk scores to predict a composite risk score. The composite risk score and it associated attributes can be used to provide notifications/messages and provide dynamic content to a mobile app.

Abstract: The invention generally relates to computer-based systems to evaluate and market clinical trial research centers. In certain aspects, the invention provides computer-based systems to collect information about clinical research centers. Systems include a tangible, non-transitory memory coupled to a processor operable to retrieve, based on a user's input, an identity of a clinical research center and prompt the user for information relating generally to the center. The system can collect disease-specific information by prompting the user for a selection of a disease and then collecting from the user information identifying an ability of the center to perform one or more tests relating to the disease.

Abstract: Aspects of the present disclosure relate to medical treatment management. Medical data associated with a user is received. A medical condition of the user is identified based on the medical data. Object data of a plurality of objects in a vicinity of the user is received. The object data is analyzed to determine an identity and characteristics of each object of the plurality of objects. The plurality of objects are compared to medical tools in a medical database using the characteristics within the object data. A subset of objects matching to respective medical tools are then identified. A medical procedure utilizing at least one object of the subset of objects to address the medical condition is identified. A recommendation is then transmitted that the medical procedure should be used to address the medical condition using the at least one object.