Abstract: The system brings together patient data both clinical records and imaging studies from disparate sources to the user workstation or mobile device in real-time and on-demand. In order to do so, the system needs to establish application layer connectivity utilizing HL7 or FHIR and DICOM for imaging. Once a secure connection is established, the system is able to search and retrieve records and present it to end user.

Abstract: Methods and devices include database management and graphical user interfaces for measurements collected by analyzing blood.

Abstract: A system and method are described herein for training and evaluating machine learning models trained using large complex datasets in an efficient manner. The systems enable methods for training a first model and generating predictions using the first trained model. The predictions and a portion of the data may be used to train a second model and generate predictions as an output of the second model. The first model may be used on a third dataset to generate predictions, which are appended to the third dataset. The appended third dataset is then input into the second model for generation of additional outputs that are compared against the third dataset for accuracy.

Abstract: Techniques for obtaining materials science properties of soft tissue for use in a damage model for ameliorating injuries in an individual performing a process are presented. The techniques can include obtaining physical parameters characterizing the soft tissue of the individual under each of a plurality of loading conditions, fitting a soft tissue damage model based on the parameters, and ameliorating injury in performing the process by implementing guidelines based on the soft tissue damage model.

Abstract: The present application provides a personal supplement supply system that includes: a delivery device, which further includes a housing having a plurality of cartridges removably attached to a base located within the housing. Each of the plurality of cartridges store therein at least one dispensable ingredient. The device includes a processor coupled to computer memory, the computer memory having software stored thereon that when executed causes the delivery device to dispense the at least one dispensable ingredient from each of the plurality of cartridges in accordance with a bio-informed plan personalized for a user of the delivery device.

Abstract: Cohort definition and selection system for a computer having a memory, a central processing unit and a display, the system including: a cohort definition module to configure the memory according to a phenotype vector. The phenotype vector includes a patient ID to uniquely associate the phenotype vector to a patient, a plurality of demographic dimension fields, each demographic dimension field to describe a respective demographic aspect of the patient, a calculated dimension field to describe a calculated information related to the patient, a plurality of phenotype-based dimension fields, each phenotype-based dimension field to indicate relevance of the respective phenotype-based dimension field to the patient, and a child phenotype vector to recursively define a phenotype-based dimension field, and a cohort selection module to select a set of phenotype vectors that are within a predetermined error from a cohort selection criteria.

Abstract: The present invention in a first embodiment is a method of constructing a geometry-induced sparse local connected network architecture, the method comprising: choosing a geometry, choosing a direction of data flow in the geometry, choosing a node set as a finite subset of the geometry, choosing local edges between each node and nodes in preceding layers with respect to the geometry and direction of data flow, and choosing sparse nonlocal edges between each node and nodes in preceding layers with respect to the geometry and direction of data flow.

Abstract: The present invention proposes an apparatus and method for assisting a user to plan a puncture trajectory within a region-of-interest of a subject. The apparatus comprises: a data interface (211) configured to receive anatomical data of the region-of-interest of the subject and to output the at least one candidate puncture trajectory, and a data processor (213) for calculating at least one candidate puncture trajectory on basis of the anatomical data, multiple criteria, and a tradeoff among the multiple criteria. The anatomical data of the subject comprises three-dimensional data of the region of interest. The data processor (213) is further configured, upon receiving a first user input for adjusting the tradeoff among the multiple criteria, to adjust the tradeoff among the multiple criteria on basis of the first user input, and to calculate the at least one candidate puncture trajectory on basis of the anatomical data, the multiple criteria and the adjusted tradeoff among the multiple criteria.

Abstract: A method to generate synthetic data instances. The method includes generating a synthetic data instance for an input variable value of an input variable supplied to the generative model, classifying the synthetic data instance to generate a classification result, determining a loss function value of a loss function, the loss function evaluating the classification result and determining the gradient of the loss function with respect to the input variable. Depending on the absolute value of the gradient, the method includes generating a plurality of modified input variable values, determining, for each modified input variable value, the gradient of the loss function, combining the gradients of the loss function to generate an estimated gradient, and modifying the input variable value in a direction determined by the estimated gradient to generate a further input variable value. The generative model generates a further synthetic data instance for the further input variable value.

Abstract: A system, method, and computer platform product for an adaptive cognitive training platform. In accordance with various aspects of the present disclosure, an adaptive cognitive training platform is configured to process user activity data from one or more instances of a computerized cognitive training program to determine a baseline cognitive assessment for one or more cognitive abilities/skills of a user. The cognitive assessment model may be configured to further process the user activity data to predict a relative value or measure of efficacy for one or more computerized stimuli or interactions within the computerized cognitive training program. The adaptive cognitive training platform may be configured to configure, modify and/or present one or more graphical user interface elements for one or more subsequent instances of the computerized cognitive training program according to the predicted value or measure of efficacy of one or more cognitive training tasks.

Abstract: Systems and techniques for monitoring, predicting and/or alerting for census periods in medical inpatient units are presented. A system can include a grouping component that defines a group of beds at a medical facility based on at least one grouping factor, and a group stability component that determines a measure of occupancy variability for the group based on historical census data for respective beds in the group. The system can further include a model selection component that selects one or more census forecasting models for the group based on the measure of occupancy variability, and a patient census component that applies the one or more census forecasting models to current patient flow data for the medical facility to forecast an expected occupancy level for the group during one or more future periods of time.

Abstract: A method for generating synthetic training records for use in training a model to predict low-incidence events. A synthetic training record is generated from a minority-class training record by substituting a different value for a feature in the minority-class training record, where the probability of the different value occurring in the minority-class training record exceeds a probability threshold. Also disclosed are a non-transitory storage medium comprising minority-class training records and synthetic training records and a method of training a machine-leaning model using training records augmented with synthetic training records. An exemplary synthetic training records is a synthetic medical record for use in training a model to predict drug overdoses.

Abstract: A real-time temporal convolution network (RT-TCN) algorithm reuses the output of prior convolution operations in all layers of the network to minimize the computational requirements and memory footprint of a TCN during real-time evaluation. Further, a TCN trained via the fixed-window view, where the TCN is trained using fixed time splices of the input time series, can be executed in real-time continually using RT-TCN.

Abstract: Management of a diabetic condition may be performed by detecting a mealtime and/or an increased level of activity associated with a user. The mealtime is detected based one or more mealtime indicators that may indicate a likelihood of an occurrence of a mealtime. Each mealtime indicator provides additional context around the likelihood of a mealtime. To assist in managing the diabetic condition, a user's elevated activity levels may be detected. The activity level of a user is detected based on one or more activity indicators. Each activity indicator provides additional context around the likelihood of an increased level of activity by the user. Management of the diabetic condition may be performed proximate a mealtime or a user exercising to increase the efficacy of management of the diabetic condition.

Abstract: An application management system may provide, while a user device detects a beacon associated with a medical system, a user of the user device with access to a first set of medical session features of an application executed by the user device. The application management system may also provide, while the user device does not detect the beacon, the user with access to a second set of medical session features of the application, the second set of medical session features being different from the first set of medical session features.

Abstract: Systems and methods facilitate the planning and performance of hip and other surgeries. A computer model of a hip may be generated and displayed. A template of a hip component that replaces a native portion of the hip may be superimposed on the model. Changes in leg length, offset, or anterior-posterior (AP) position as well as a virtual distance between a landmark on the model and a location on the template may be determined. During surgery, a physical distance corresponding to the virtual distance may be obtained. The template may be moved relative to the model to match the physical distance, and new change values in leg length, offset, or anterior-posterior (AP) position may be determined. The new change values may be evaluated, and the surgery may proceed, or the process may be repeated using templates corresponding to alternative components.

Abstract: Techniques are disclosed relating to dynamically determining a data load process usable with a decision service for responding to requests to the decision service. The data load process may be selected from either a full data load process that loads data needed for all the rules in the decision service, or a selective data load process that loads data needed for a subset of the rules in the decision service according to embodiments. The decision service may determine the data load process to implement based on an evaluation of a decision blueprint in response to receiving the request, where the decision blueprint includes a set of rules interconnected by flow paths. Evaluation of properties of the rules and flow paths based on input data in the request may be used to determine the data load process to implement. Overall, this results in faster execution times in various circumstances.

Abstract: The disclosed systems and methods manage more notifications between medical devices. A method includes obtaining information corresponding to a clinician and determining whether the information satisfies coordination criteria. The method includes, in accordance with a determination that the clinician is associated with the first medical device and a second medical device, detecting a first and second notification generated by respective medical devices. The method includes identifying, based on detecting the respective notifications, alert information including medical information for a patient receiving medical treatment from the first and second medical device. The method includes determining, based on the identified information, notification priorities between the respective notifications.

Abstract: Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.

Abstract: A first data task station which has a first predetermined data content requirement. A data content receiver receives data content. A first activator enables the data content receiver through a data intake of data task station, to associate with a first data content. Movement of the first data content to an automator site of the first data task station, actuates the screener. A second activator of the computer, by operation of the automator, enables, after the first pre-determined data content satisfies the screen against said first pre-determined data content requirement, a second data task station associated with a second predetermined data content requirement. A disabler, by operation of the automator, after the first pre-determined data content satisfies the screen against the first pre-determined data content requirement, disables the further screen of the first data content of said first data station.