Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: An apparatus and method for implementing a Level 0 cache within a cache subsystem. For example, one embodiment of a processor comprises: a cache subsystem comprising a Level-0 cache; a scheduler to schedule a load operation indicating data to be loaded; and a load hit predictor to predict whether the data indicated by the load operation is stored in the LO cache and to generate a wakeup signal to the scheduler in response to predicting that the data is stored in the LO cache. Some implementations perform store forwarding in response to load operations using a multi-step approach in which a partial linear address check is performed to determine load operations which are eligible for store forwarding. A full address check is performed for those load operations which are eligible in which the address of the load is compared against the address of a youngest older store operation.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

Abstract: A putter-type golf club head that, when oriented in a reference position, includes a striking wall extending in the heel to toe direction and defines a substantially planar striking face for hitting a golf ball. A central elongate member is in communication with, and extends rearward from, the striking wall. An upper surface of the central elongate member includes a plurality of separate alignment elements. At least one of the plurality of alignment elements has an edge that extends substantially parallel to the striking face. The length of the parallel edge is substantially equivalent to the diameter of a golf ball.

Abstract: A putter-type golf club head that, when oriented in a reference position, includes a striking wall extending in the heel to toe direction and defines a substantially planar striking face for hitting a golf ball. A central elongate member is in communication with, and extends rearward from, the striking wall. An upper surface of the central elongate member includes a plurality of separate alignment elements. At least one of the plurality of alignment elements has an edge that extends substantially parallel to the striking face. The length of the parallel edge is substantially equivalent to the diameter of a golf ball.

Abstract: A method (100) for training a scoring system (600) comprising the steps of: (i) providing (110) a scoring system comprising a scoring module (606); (ii) receiving (120) a training dataset comprising a plurality of patient data and treatment outcomes; (iii) analyzing (130), using a clinical decision support algorithm, the training dataset to generate a plurality of clinical decision support recommendations; (iv) clustering (140), using the scoring module, the plurality of clinical decision support recommendations into a plurality of clusters; and (v) identifying (160), using the scoring module, one or more features of at least one of the plurality of clusters, and generating, based on the identified one or more features, one or more inclusion criteria for the at least one of the plurality of clusters.

Abstract: An apparatus for disinfecting an air space is presented. The apparatus includes a housing having a front surface, a back surface, a top surface, a bottom surface, a first end, and a second end. A light emitting diode is inside the housing and configured to emit ultraviolet radiation, at least 90% of which has a wavelength less than 280 nm, in a direction away from the housing into surrounding space. Circuits inside the housing control the light emitting diode to emit radiation at different intensity levels including zero. Motion sensors may be coupled to the circuits to turn the light emitting diode on and off and modulate the intensity of radiation that is emitted, thereby avoiding exposing occupants of the space to harmful radiation.

Abstract: Techniques disclosed herein relate to removing potentially identifying features of a specific subject from a data set to prevent re-identification of the subject using an external data source. In various embodiments, the data set contains, as potential identifying features of the specific subject, multiple bursts of temporally-proximate events. Time blocks within the data set can be identified to capture one or more of the bursts of temporally-proximate events for the specific subject. Adding random time shifts for each time block can add noise to the data set and remove or obfuscate the identifying features of a specific subject to generate a time shifted data set.

Abstract: System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer.

Abstract: A system (300) configured to analyze electronic medical records comprises: a user interface (310) configured to receive input from a user and to receive a request for patient information; and a processor (320) comprising: a patient cohort generator (350) configured to: (i) track user input; (ii) identify patient information accessed through the user interface as well as patient parameters associated with the patient; (iii) associate patients into a patient cohort based on the patient parameters; (iv) identify, for the patient cohort, types of information most commonly accessed by the users; and (v) associate the identified types of information with the patient cohort; and a record identifier (370) configured to: (i) associate the patient for whom patient information is requested with a patient cohort; and (ii) identify, based on the patient cohort with whom the patient is associated, the types of information associated with that cohort.

Abstract: The present disclosure is directed to methods and apparatus for centralized de-identification of protected data associated with subjects. In various embodiments, de-identified data may be received (1102) that includes de-identified data set(s) associated with subject(s) that is generated from raw data set(s) associated with the subjects. Each of the raw data set(s) may include identifying feature(s) that are usable to identify the respective subject. At least some of the identifying feature(s) may be absent from or obfuscated in the de-identified data. Labels associated with each of the de-identified data sets may be determined (1104). At least some of the de-identified data sets may be applied (1108) as input across a trained machine learning model to generate respective outputs, which may be compared (1110) to the labels to determine a measure of vulnerability of the de-identified data to re-identification.

Abstract: The present disclosure is directed to centralized de-identification of protected data associated with subjects in multiple modalities based on a hierarchal taxonomy of policies and handlers. In various embodiments, data set(s) associated with subject(s) may be received. Each of the data set(s) may contain data points associated with a respective subject. The data points associated with the respective subject may include multiple data types, at least some of which are usable to identify the respective subject. For each respective subject: a classification of each of the data points may be determined in accordance with a hierarchal taxonomy; based on the classifications, respective handlers for the data points may be identified; and each data point of the plurality of data points may be processed using a respective identified handler, thereby de-identifying the plurality of data points associated with the respective subject.

Abstract: Techniques disclosed herein relate to removing potentially identifying features of a specific subject from a data set to prevent re-identification of the subject using an external data source. In various embodiments, the data set contains, as potential identifying features of the specific subject, multiple bursts of temporally-proximate events. Time blocks within the data set can be identified to capture one or more of the bursts of temporally-proximate events for the specific subject. Adding random time shifts for each time block can add noise to the data set and remove or obfuscate the identifying features of a specific subject to generate a time shifted data set.

Abstract: System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer.

Abstract: System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer.

Abstract: Select embodiments of the present invention employ biological means to direct assemble CNT-based nanostructures, allowing for scaling to macrostructures for manufacture. In select embodiments of the present invention, a method is provided for assembling DNA-functionalized SWNTs by phosphodiester bonding catalyzed by ssDNA-ligase to form macroscopic CNT aggregates.

Abstract: A method (100) for training a scoring system (600) comprising the steps of: (i) providing (110) a scoring system comprising a scoring module (606); (ii) receiving (120) a training dataset comprising a plurality of patient data and treatment outcomes; (iii) analyzing (130), using a clinical decision support algorithm, the training dataset to generate a plurality of clinical decision support recommendations; (iv) clustering (140), using the scoring module, the plurality of clinical decision support recommendations into a plurality of clusters; and (v) identifying (160), using the scoring module, one or more features of at least one of the plurality of clusters, and generating, based on the identified one or more features, one or more inclusion criteria for the at least one of the plurality of clusters.

Abstract: The following relates generally to the medical monitoring arts, medical warning systems concerning a monitored patient, and so forth. In clinical settings, alarms are usually triggered when a single-parameter or a multi-parameter score exceeds certain thresholds. When a score needs to be determined, if certain parameters are not available, the common practice is to use the most recent measurements of the parameters for the score calculation. However, a patient's status may change from moment to moment. The parameters measured hours ago may not be a good indicator of the patient's current status. This uncertainty can put deteriorating patients at great risk. An embodiment uses statistical methods to estimate a range of scores and the probability of these scores if old measurements have to be used for score determination. Instead of giving a single number at a time, a confidence interval may be displayed to emphasize the fact that the score is determined partially based on old measurements.

Abstract: The present disclosure pertains to obtaining information that facilitates determining healthcare quality measures by evaluating subject healthcare data in real-time. Information is obtained that facilitates determination of compliance with healthcare quality measures. This is accomplished by running queries on a clinical database comprising subject healthcare data. Natural language processing is utilized to extract subject healthcare data at various times from the clinical database based on individual queries, thus determining any changes in subject healthcare data over time. A rule-based component is used to implement healthcare quality measures and evaluate updated subject healthcare data based upon rules.