Abstract: A system and method are disclosed for merging multiple spreadsheets into one sheet, and/or exchanging data among the sheets, by expressing each sheet's formulae as an algebraic (equational) theory and each sheet's values as a model of its theory, and then performing one or more of “Kan-extension”, “psuedo-colimit”, and “lifting”, and constructions from category theory, to compute a canonically “universal” integrated theory and model, which can then be expressed as a spreadsheet and from which projections back to the sources are easily constructed.

Abstract: Navigation and simulation systems and methods for minimally invasive therapy in which the navigation system imports a planning method using patient specific preoperative images. The navigation system uses intraoperative imaging during the medical procedure to update the preoperative images and provides images of tracked surgical tools along the surgical path prepared from the preoperative images.

Abstract: Systems and methods are provided for automatically marking locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Image annotation data may be generated based at least in part on obtained results associated with output of the multiple machine learning models, where the image annotation data indicates at least one location in the radiograph and an associated dental pathology, restoration, anatomy or anomaly detected at the at least one location by at least one of the machine learning models. A number of different pathologies may be identified and their locations marked within a single radiograph image.

Abstract: Systems and methods are described for automatically evaluating a claim submitted to an insurance carrier. Claim information and at least one image associated with the claim may be received, where the image has been submitted to a carrier as supporting evidence of a service performed by a submitter of the claim. The system may provide image data and other claim information from the submitted claim as input to machine learning models configured to identify whether the image data, such as a radiograph, supports the other data in the claim submission, such as a treatment code.

Abstract: Provided herein are anti-infective peptides and uses thereof. Such anti-infective peptides are useful against bacteria and viruses. Also provided herein are compositions comprising said anti-infective peptides.

Abstract: A low-profile universal passive protector for an IV catheter includes a connector having a tubular body and a pair of arms pivotally connected thereto. The tubular body defines an end face and the connector includes a cavity extending from the end face. An elongate sheath is snap engageable to the tubular body. A spring is insertable within the connector cavity to extend between at least one of the pair of arms and the elongate sheath when received within the cavity. A slider is moveably coupled to the sheath. The slider includes a flashback chamber formed therein. A hypodermic needle is connected to the slider and is in fluid communication with the flashback chamber. The slider is moveable along the sheath between a first position and a second position, with the hypodermic needle being drawn into the sheath as the slider moves from the first position toward the second position.

Abstract: A computing platform is configured to: for each construction project in a pool of construction projects, (i) obtain a set of data objects related to the construction project; (ii) evaluate the obtained set of data objects related to the construction project and thereby identify two or more theme-specific subsets of data objects, wherein each respective theme-specific subset of data objects corresponds to a respective one of two or more construction-related themes; (iii) for each respective one of the two or more construction-related themes, evaluate the respective theme-specific subset of data objects and thereby identify a respective theme-specific group of one or more construction-related problems that correspond to the respective one of two or more construction-related themes; and (iv) based at least on the theme-specific groups of one or more construction-related problems that respectively correspond to the two or more construction-related themes, generate a project-specific themes dataset for the constru

Abstract: A computing platform is configured to: for each construction project in a pool of construction projects, (i) obtain a set of data objects related to the construction project; (ii) evaluate the obtained set of data objects related to the construction project and thereby identify two or more problem-specific subsets of data objects, wherein each respective problem-specific subset of data objects corresponds to a respective one of two or more construction-related problems; (iii) for each respective one of the two or more construction-related problems, evaluate the respective problem-specific subset of data objects and thereby identify a respective problem-specific group of one or more construction-related themes that correspond to the respective one of two or more construction-related problems; and (iv) based at least on the problem-specific groups of one or more construction-related themes that respectively correspond to the two or more construction-related problems, generate a project-specific themes dataset f

Abstract: A device may receive parameters to test modifications to an application associated with a product and/or a service, and may process data identifying the parameters and the application, with a machine learning model, to generate test applications for testing corresponding modifications to the application. The device may define test group sizes of test groups for testing the test applications, and may receive, from user devices, requests for accessing the application. The device may assign, based on the test group sizes, sets of the user devices to the test groups for testing the test applications, and may provide the test applications concurrently to the corresponding sets of the user devices based on the test groups. The device may receive, from the corresponding sets of the user devices, feedback associated with the test applications, and may perform one or more actions based on the feedback.

Abstract: Systems and methods are described for utilizing machine learning techniques to analyze data associated with one or more dental practices to identify missed treatment opportunities, future treatment opportunities, or provider performance metrics. The treatment opportunities or performance metrics may be determined or identified based at least in part on a comparison of patient data, such as data stored in association with a dental office's practice management system, with the output of one or more machine learning models' processing of associated radiograph images of the dental office's patients. The one or more machine learning models may include models that identify, from image data of a radiograph, a dental condition depicted in the radiograph, which may be mapped by a computer system to a corresponding dental treatment recommended for the identified dental condition.

Abstract: A low-profile universal passive protector for an IV catheter includes a connector having a tubular body and a pair of arms pivotally connected thereto. The tubular body defines an end face and the connector includes a cavity extending from the end face. An elongate sheath is snap engageable to the tubular body. A spring is insertable within the connector cavity to extend between at least one of the pair of arms and the elongate sheath when received within the cavity. A slider is moveably coupled to the sheath. The slider includes a flashback chamber formed therein. A hypodermic needle is connected to the slider and is in fluid communication with the flashback chamber. The slider is moveable along the sheath between a first position and a second position, with the hypodermic needle being drawn into the sheath as the slider moves from the first position toward the second position.

Abstract: Systems and methods are provided for automatically marking locations within a radiograph of one or more dental pathologies, anatomies, anomalies or other conditions determined by automated image analysis of the radiograph by a number of different machine learning models. Image annotation data may be generated based at least in part on obtained results associated with output of the multiple machine learning models, where the image annotation data indicates at least one location in the radiograph and an associated dental pathology, restoration, anatomy or anomaly detected at the at least one location by at least one of the machine learning models. A number of different pathologies may be identified and their locations marked within a single radiograph image.

Abstract: One or more embodiments of the disclosure provide systems and methods for providing media presentations to users of a media presentation system. A media presentation generally includes a plurality of media segments provided by multiple users of the media presentation system. In one or more embodiments, a user of the media presentation system may share a media presentation with a co-user. The media presentation system can provide a number of features to assist a user in sharing, filtering, and accessing media presentations.

Abstract: The present invention relates to a peptide for cancer immunotherapy that disrupts tumor-derived vesicles and a use thereof. The peptide according to the present invention has an ?-helical structure, inhibits T-cell functional impairment caused by tumor-derived vesicles and controls the formation of a tumor microenvironment as an immunosuppressive environment by disrupting the tumor-derived vesicles, and has effects of not only enhancing cancer immunotherapy activity but also inhibiting the metastasis of cancer cells through co-administration with an immune checkpoint inhibitor. Additionally, when the peptide is modified with PEG through a pH-sensitive linker, it has effects of increasing the stability of the peptide in vivo, and disrupting tumor-derived vesicles under the pH condition of the tumor microenvironment.

Abstract: The present disclosure relates to application of artificial intelligence (AI) processing that adapts one or more video feeds relative to presentation content. Trained AI processing automatically generates a combined representation comprising one or more video feeds and presentation content. An exemplary combined representation is the result of contextual analysis by one or more trained AI models that are adapted to consider how to adapt presentation of a video feed relative to displayable presentation content (or visa-versa). A combined representation of one or more video feeds and presentation content is automatically generated (and subsequently rendered) based on a result of contextual evaluation of data associated with a video feed and data attributes of presentation content. A combined representation may comprise a modification of the one or more video feeds, objects of presentation content or a combination thereof.

Abstract: A low-profile universal passive protector for an IV catheter includes a connector having a tubular body and a pair of arms pivotally connected thereto. The tubular body defines an end face and the connector includes a cavity extending from the end face. An elongate sheath is snap engageable to the tubular body. A spring is insertable within the connector cavity to extend between at least one of the pair of arms and the elongate sheath when received within the cavity. A slider is moveably coupled to the sheath. The slider includes a flashback chamber formed therein. A hypodermic needle is connected to the slider and is in fluid communication with the flashback chamber. The slider is moveable along the sheath between a first position and a second position, with the hypodermic needle being drawn into the sheath as the slider moves from the first position toward the second position.

Abstract: Systems and methods are described for automatically evaluating a claim submitted to an insurance carrier. Claim information and at least one image associated with the claim may be received, where the image has been submitted to a carrier as supporting evidence of a service performed by a submitter of the claim. The system may provide image data and other claim information from the submitted claim as input to machine learning models configured to identify whether the image data, such as a radiograph, supports the other data in the claim submission, such as a treatment code.

Abstract: One or more embodiments of the disclosure provide systems and methods for providing media presentations to users of a media presentation system. A media presentation generally includes a plurality of media segments provided by multiple users of the media presentation system. In one or more embodiments, a user of the media presentation system may share a media presentation with a co-user. The media presentation system can provide a number of features to assist a user in sharing, filtering, and accessing media presentations.

Abstract: A robotic arm system comprising a deployment system or a base, a first joint, and a manipulator coupled to the deployment system or base at the first joint and movable relative to the deployment link or base about the first joint. The manipulator includes a manipulator link, a second joint coupled to the manipulator link distal from the first joint, an elevation linkage coupled to the manipulator link at the second joint, a wrist coupled to the elevation linkage distal from the second joint, and an end effector coupled to the wrist. The end effector can change elevation via the elevation link without changing orientation.