Abstract: An apparatus for bioprocessing includes a housing, a drawer receivable within the housing, the drawer including a plurality of sidewalls and a bottom defining a processing chamber, and a generally open top, the drawer being movable between a closed position in which the drawer is received within the housing, and an open position in which the drawer extends from the housing enabling access to the processing chamber through the open top, and at least one bed plate positioned within the processing chamber and configured to receive a bioreactor vessel.

Abstract: Pathways between reference locations in a physical system are generated based on a layout table. Nodes and edges of the directed graph are associated with cell locations of the layout table. The cell locations define features of the reference locations. Parameters of the nodes and edges are defined based on descriptors recalled from the cells associated with the nodes and edges. The nodes and edges are configured based on the descriptors. Path data regarding potential pathways is generated based on the defined nodes and edges.

Abstract: A computing device and method for preparing application data based on a migration recommendation includes collecting survey responses to categorized questions and assigning a score to each of the survey response. The scored survey responses are normalized and rationalization parameters are determined based on the normalized scores. Application data are prepared for migration based on a recommended disposition determined from the rationalization parameters.

Abstract: A method of protecting user privacy online includes collecting, via a computer-based user data agent, user data generated by a user on a user device and identifying a first set of traits associated with the user data. The method further includes generating a user profile based on the first set of traits associated with the user data and generating an alternate persona defined by a second set of traits that is different from the first set of traits. The method further includes automatically performing online activities based on the alternate persona to produce artificial user data that obscures real user data.

Abstract: Apparatus and associated methods relate to invoking an alert based upon a behavior of a patient as determined by a machine-learning model operating on a video stream of the patient. Video data, audio data, and semantic text data are extracted from a video stream of the patient. The video data are analyzed to identify first, second, and third features sets of video, audio, and semantic text features, respectively, which have been identified by a computer-implemented machine-learning engine as being indicative of at least one of a set of alerting behaviors corresponding to a patient classification of the patient. Using a computer-implemented machine-learning model, a patient behavior of the patient is determined based on the first, second, and/or third features sets. The patient's behavior is compared with the set of alerting behaviors, and, when the patient's behavior is determined to be included therein, the alert is automatically invoked.

Abstract: A method of automatically tailoring sub-accounts of an online user account includes accessing, via a computer-based user data agent, the online user account that includes the sub-accounts and identifying traits associated with each of the sub-accounts. The traits include a first set of traits associated with a first sub-account and a second set of traits associated with a second sub-account. The method further includes generating a first alternate persona based on the first set of traits and generating a second alternate persona based on the second set of traits. The method further includes automatically performing online activities based on the first alternate persona for the first sub-account and based on the second alternate persona for the second sub-account to produce artificial user data that tailors the sub-accounts according to user preferences.

Abstract: Apparatus and associated methods relate to predicting a health outcome of a patient by a machine learning model operating on a video stream of the patient. Video data, audio data, and semantic text data are extracted from a video stream of the patient. The video data are analyzed to identify a first feature set. The audio data are analyzed to identify a second feature set. The semantic text data are analyzed to identify a third feature set. Using a computer-implemented machine-learning model, a health outcome of the patient is predicted based on the first, second, and/or third features sets. The health outcome that is predicted is then reported.

Abstract: Apparatus and associated methods relate to assessing a confidence level of a verbal communication of a person as determined by a machine learning model operating on a video stream of the person. Video data, audio data, and semantic text data are extracted from a video stream of the person. The video data are analyzed to identify a first feature set. The audio data are analyzed to identify a second feature set. The semantic text data are analyzed to identify a third feature set. Using a computer-implemented machine-learning model, a confidence level of the verbal communication of the person is assessed. The confidence level is then associated with a time of the video stream to which the confidence level pertains. The confidence level and the associated time of the video stream are then reported.

Abstract: Apparatus and associated methods relate to enhancing care of a patient using video and audio analytics. Video data, audio data, and semantic text data are extracted from a video stream of the patient. The video data are analyzed to identify a first feature set. The audio data are analyzed to identify a second feature set. The semantic text data are analyzed to identify a third feature set. Using a computer-implemented machine-learning model, a health outcome of the patient is predicted based on the first, second, and/or third features sets. The health outcome that is predicted is compared with the set of health outcomes of the training patients classified with the patient classification of the patient. Differences are identified between the feature sets corresponding to the patient and feature sets of the training patients who have better health outcomes the patient's predicted health outcome. The differences identified are then reported.

Abstract: Apparatus and associated methods relate to invoking an alert based upon a behavior of a patient as determined by a machine learning model operating on an audio stream of the patient. Audio data, and semantic text data are extracted from an audio stream of the patient. The audio data are analyzed to identify a first feature set. The semantic text data are analyzed to identify a second feature set. Using a computer-implemented machine-learning model, a patient behavior of the patient is determined based on the first and/or second features sets. The patient behavior is compared with a set of alerting behaviors corresponding to a patient classification of the patient. The alert is automatically invoked when the patient behavior is determined to be included in the set of alerting behaviors corresponding to the patient classification of the patient.

Abstract: An electronic component assembly having thermal pads with thermal vias coupling an image sensor and a camera board fab is provided for heat dissipation. The electronic component assembly can include: a circuit board having at least one thermal pad disposed on a top surface of the circuit board; and an image sensor disposed on the top surface of the circuit board, having at least one conductive pad disposed at at least one corner of the image sensor. The at least one thermal pad is coupled to the at least one conductive pad of the image sensor and the at least one thermal pad is formed with a plurality of first thermal vias penetrating the thermal pad and the circuit board for transfer of heat of the image sensor.

Abstract: A fecal collection apparatus includes a main body including an insertion end and a removal end opposite the insertion end, the main body defining a main body cavity between the insertion end and the removal end, a sample collection member positionable within the main body cavity through the insertion end, the sample collection member defining a fecal engagement portion for holding a fecal sample and a handle portion spaced apart from the fecal engagement portion, and a plug provided at a removal end of the main body, the plug positionable from a closed position in which the plug restricts fluid from passing from the main body cavity through the removal end, to an open position.

Abstract: The present invention relates hydroxypyridoxazepine compounds, methods of making them, pharmaceutical compositions containing them and their use as Nrf2 activators. In particular, the invention relates to compounds of Formula (I), and pharmaceutically acceptable salts thereof, or a tautomer thereof, or a hydrate thereof.

Abstract: The present discussion relates to structures and devices to facilitate application of an ultrasound therapy beam to a target anatomic region in a replicable manner. In certain aspects, adjustable positioning structures are described that allow a general probe positioning structure to be configured for a specific patient in a manner that allows the device to be used repeatedly to target the anatomic region, even when in non-clinical settings. In other aspects, a probe positioning structure is fabricated that is specific to a respective patient anatomy, such that use of the probe positioning structure provides repeatable targeting of the target anatomic region, even when in non-clinical settings.

Abstract: In certain embodiments, a system generates image data for an image of the interior of an eye. The system includes a camera apparatus and patient interface. The camera apparatus includes a camera stem, sensor, processor, and communication interface. The camera stem has illuminators that emits light and an objective lens system that receives light. The sensor generates a signal in response to detecting light received by the objective lens system. The processor generates image data from the signal, and the communication interface outputs the image data. The patient interface includes a contact portion and a sleeve. The contact portion is shaped to conform to an anterior eye surface of the eye. The sleeve is shaped to receive the camera stem. The sleeve directs light from the illuminators towards the eye interior, and directs light reflected from the eye interior towards the camera apparatus.

Abstract: In certain embodiments, a method for analyzing a retinal image of an eye for retinal disease includes conforming a contact portion of a patient interface to the surface of the eye. A camera stem is received by a sleeve of the patient interface. Light from the camera stem is directed by the sleeve towards the interior of the eye, and light reflected from the interior of the eye is directed by the sleeve towards the camera. Image data generated by the camera is output to a computer. Options representing actions that facilitate analysis of the retinal image are displayed at the computer. The retinal image is displayed at the computer according to the image data. A selection of an option is received by the computer. The action represented by the option is performed by the computer to facilitate analysis of the retinal image.

Abstract: An apparatus for bioprocessing includes a housing, a drawer receivable within the housing, the drawer including a plurality of sidewalls and a bottom defining a processing chamber, and a generally open top, the drawer being movable between a closed position in which the drawer is received within the housing, and an open position in which the drawer extends from the housing enabling access to the processing chamber through the open top, and at least one bed plate positioned within the processing chamber and configured to receive a bioreactor vessel.

Abstract: A bioprocessing system includes a first module configured for enriching and isolating a population of cells, a second module configured for activating, genetically modifying, and expanding the population of cells, and a third module configured for harvesting the expanded population of cells.

Abstract: One or more Bluetooth® low energy (BLE) beacons in communication with a remote server that provides check in capabilities and payment capabilities may be installed at a location. The BLE beacons may connect with a user's mobile device when the user enters the location and allow the user to check in to the location and authorize payments to be made at the location. Once the user is checked in to the location, the user may be provided with additional functionality, benefits, offers, and applications related to the location and facilitated by the check in. Further, the user may be pre-checked in into a next location when the user is at a current location.