Abstract: Systems are provided for securing tissue to bone. A suture anchor can include an elongate body having a proximal end and a distal end and an external surface with a plurality of longitudinally spaced bone-engaging features formed at least partially circumferentially thereon over at least a portion of a length of the suture anchor. The proximal end can have a lumen extending at least partially into the elongate body and the distal end can have a suture engaging feature proximate thereto. A first series of bone-engaging features can have a dimension that increases from a distal to a proximal end of each bone-engaging feature of the first series of bone-engaging features. A second series of bone-engaging features can have a dimension that decreases from a distal to a proximal end of each bone-engaging feature of the second series of bone-engaging features.

Abstract: Apparatuses and methods for assessing a dental x-ray image and predicting tooth eruption and/or exfoliation. The apparatuses may use one or more trained neural networks to assess a patient's x-rays as well as dental measurements determined from the patient's x-rays to predict approximately when a permanent tooth may erupt to replace a baby tooth. The neural networks may be trained using a data training set of x-ray images and accompanying dental measurement data.

Abstract: A system and method are disclosed for providing an averaging of models for federated learning and blind learning systems. The method includes selecting, at a server, a generator g and a number p, transmitting, to at least two n client devices, the generator g and the number p, receiving, from each client device i of the at least two client devices, a respective value ki=gri mod p and transmitting the set of respective values ki to each client device i of the at least two client devices where respective added group of shares are generated on each client device i. The method includes receiving each respective added group of shares from each client device i of the at least two client devices and adding all the respective added group of shares to make a global sum of shares and dividing the global sum of shares by n.

Abstract: A system for reducing unwanted audible effects can include any or all of: a tactile stimulation device; a set of audio input devices; a set of filters and/or barriers; a set of audio output devices; a computing and/or processing subsystem; a set of algorithms and/or models; an extended reality subsystem; and/or any other components. A method for reducing unwanted audible effects includes any or all of: collecting information from each user of a set of users at a set of audio input devices; processing the audio information; and transmitting the processed audio information to any or all of the set of users.

Abstract: A system and method are disclosed for providing a private multi-modal artificial intelligence platform. The method includes splitting a neural network into a first client-side network, a second client-side network and a server-side network and sending the first client-side network to a first client. The first client-side network processes first data from the first client, the first data having a first type. The method includes sending the second client-side network to a second client. The second client-side network processes second data from the second client, the second data having a second type. The first type and the second type have a common association. Forward and back propagation occurs between the client side networks and disparate data types on the different client side networks and the server-side network to train the neural network.

Abstract: Various exemplary systems and devices for knotless anchor insertion and methods of knotless anchor insertion are provided. In general, an inserter tool is configured for knotless anchor insertion in a soft tissue repair surgical procedure. The inserter tool is configured to insert an anchor into a bone of a patient to secure a soft tissue relative to the bone. A suture coupled to the soft tissue is secured relative to the bone by being trapped between an exterior surface of the anchor and a bone surface defining a hole in the bone in which the anchor is positioned.

Abstract: Various exemplary systems and devices for knotless anchor insertion and methods of knotless anchor insertion are provided. In general, an inserter tool is configured for knotless anchor insertion in a soft tissue repair surgical procedure. The inserter tool is configured to insert an anchor into a bone of a patient to secure a soft tissue relative to the bone. A suture coupled to the soft tissue is secured relative to the bone by being trapped between an exterior surface of the anchor and a bone surface defining a hole in the bone in which the anchor is positioned.

Abstract: A lyophilized pharmaceutical composition of hydrolytically unstable pharmaceutical compounds, such as phenobarbital or salts thereof, is provided. An aqueous solution for injection of phenobarbital or salts thereof that is reconstituted from the lyophilized pharmaceutical composition is provided. The pharmaceutical compositions of the present disclosure have an ethanol content in the range from about 5000 ppm to about 70000 ppm. The composition of the present disclosure, in certain embodiments, is stable following two years of storage, wherein the total impurities do not exceed 0.5%. The pharmaceutical compositions of the present disclosure may be used for the treatment of neonatal seizures.

Abstract: A system for reducing unwanted audible effects can include any or all of: a tactile stimulation device; a set of audio input devices; a set of filters and/or barriers; a set of audio output devices; a computing and/or processing subsystem; a set of algorithms and/or models; an extended reality subsystem; and/or any other components. A method for reducing unwanted audible effects includes any or all of: collecting information from each user of a set of users at a set of audio input devices; processing the audio information; and transmitting the processed audio information to any or all of the set of users.

Abstract: Various exemplary systems and devices for knotless anchor insertion and methods of knotless anchor insertion are provided. In general, an inserter tool is configured for knotless anchor insertion in a soft tissue repair surgical procedure. The inserter tool is configured to insert an anchor into a bone of a patient to secure a soft tissue relative to the bone. A suture coupled to the soft tissue is secured relative to the bone by being trapped between an exterior surface of the anchor and a bone surface defining a hole in the bone in which the anchor is positioned.

Abstract: A multi-array ultrasound system for haptic engagement is provided. The system may include a computing device with a processing system, a tracking device communicatively coupled to the processing system, two or more ultrasound transducer arrays including a plurality of ultrasound transducers, and a driver communicatively coupled to the processing system and the two or more ultrasound transducer arrays.

Abstract: A system for reducing unwanted audible effects can include any or all of: a tactile stimulation device; a set of audio input devices; a set of filters and/or barriers; a set of audio output devices; a computing and/or processing subsystem; a set of algorithms and/or models; an extended reality subsystem; and/or any other components. A method for reducing unwanted audible effects includes any or all of: collecting information from each user of a set of users at a set of audio input devices; processing the audio information; and transmitting the processed audio information to any or all of the set of users.

Abstract: Various exemplary systems and devices for knotless anchor insertion and methods of knotless anchor insertion are provided. In general, an inserter tool is configured for knotless anchor insertion in a soft tissue repair surgical procedure. The inserter tool is configured to insert an anchor into a bone of a patient to secure a soft tissue relative to the bone. A suture coupled to the soft tissue is secured relative to the bone by being trapped between an exterior surface of the anchor and a bone surface defining a hole in the bone in which the anchor is positioned.

Abstract: A patient brace system and method of using the same are disclosed for treatment of lower extremity injuries. Described brace systems include a crutch, at least one crutch sensor, a patient brace, at least one controller, and a rehabilitation application. The crutch sensor(s) measure one or more crutch parameters. The controller(s) are operable to receive and process a signal(s) indicative of the crutch parameter(s) and produces patient gait data that, in turn, is communicated to a data hub. In some embodiments, the patient brace may also include at least one brace sensor configured to similarly communicate with the data hub. The rehabilitation application is communication with the data hub and determines a response output based on the information fed to the data hub, the application then communicating the response output to at least one of a caregiver, a user of the patient brace, and/or to the patient brace.

Abstract: The present invention relates to a lyophilized pharmaceutical composition of hydrolytically unstable pharmaceutical compounds, such as phenobarbital or salts thereof. The present invention also relates to an aqueous solution for injection of phenobarbital or salts thereof that is reconstituted from the lyophilized pharmaceutical composition. The pharmaceutical compositions of the present disclosure have an ethanol content in the range from about 5000 ppm to about 70000 ppm. The composition of the present disclosure, in certain embodiments, is stable following two years of storage, wherein the total impurities do not exceed 0.5%. The pharmaceutical compositions of the present disclosure may be used for the treatment of neonatal seizures.

Abstract: A system and method are disclosed for providing a private multi-modal artificial intelligence platform. The method includes splitting a neural network into a first client-side network, a second client-side network and a server-side network and sending the first client-side network to a first client. The first client-side network processes first data from the first client, the first data having a first type. The method includes sending the second client-side network to a second client. The second client-side network processes second data from the second client, the second data having a second type. The first type and the second type have a common association. Forward and back propagation occurs between the client side networks and disparate data types on the different client side networks and the server-side network to train the neural network.

Abstract: The disclosed method of treating a malignant solid tumor in a subject includes the steps of administering to the subject an immunomodulatory dose of a radioactive phospholipid ether metal chelate, a radiohalogenated phospholipid ether, or other targeted radiotherapy (TRT) agent that is differentially retained within malignant solid tumor tissue, and either (a) performing in situ tumor vaccination in the subject by introducing into at least one of the malignant solid tumors one or more agents capable of stimulating specific immune cells within the tumor microenvironment, or (b) performing immunotherapy in the subject by systemically administering to the subject an immunostimulatory agent, such as an immune checkpoint inhibitor.

Abstract: Disclosed is a method that includes training, at a client, a part of a deep learning network up to a split layer of the client. Based on an output of the split layer, the method includes completing, at a server, training of the deep learning network by forward propagating the output received at a split layer of the server to a last layer of the server. The server calculates a weighted loss function for the client at the last layer and stores the calculated loss function. After each respective client of a plurality of clients has a respective loss function stored, the server averages the plurality of respective weighted client loss functions and back propagates gradients based on the average loss value from the last layer of the server to the split layer of the server and transmits just the server split layer gradients to the respective clients.