Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and/or how the patient might recover from the given surgical intervention.

Abstract: A finger-mounted device may include finger-mounted units. The finger-mounted units may each have a body that serves as a support structure for components such as force sensors, accelerometers, and other sensors and for haptic output devices. The body may have sidewall portions coupled by a portion that rests adjacent to a user's fingernail. The body may be formed from deformable material such as metal or may be formed from adjustable structures such as sliding body portions that are coupled to each other using magnetic attraction, springs, or other structures. The body of each finger-mounted unit may have a U-shaped cross-sectional profile that leaves the finger pad of each finger exposed when the body is coupled to a fingertip of a user's finger. Control circuitry may gather finger press input, lateral finger movement input, and finger tap input using the sensors and may provide haptic output using the haptic output device.

Abstract: The present invention provides novel markers of the severity of a central nervous system injury, such as spinal cord injury or traumatic brain injury, in a patient. In particular, protein components of inflammasomes in the cerebrospinal fluid that can be used to assess the severity of central nervous system injury in a patient are disclosed. Methods of using such protein biomarkers to determine a prognosis, direct treatment and rehabilitation efforts, and monitor response to treatment for a patient with a central nervous system injury are also described.

Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and/or how the patient might recover from the given surgical intervention.

Abstract: The disclosed embodiments include a system and method for patient management using multi-dimensional analysis and computer vision. The system includes a base unit having a microprocessor connected to a camera and a beacon detector. The beacon detector scans for advertising beacons with a packet and publishes a packet to the microprocessor. The camera captures an image in a pixel array and publishes image data to the microprocessor. The microprocessor uses at least a Beacon ID from the packet to determine if an object is in a room, and Camera Object Coordinates from the image data to determine the coordinates of the object in the room.

Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and/or how the patient might recover from the given surgical intervention.

Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted effect of a target action on sensor data generated on a computing device. More specifically, the present disclosure provides a system that can analyze sensor data generated on a computing device before and after a target action, generate analytics data indicating the effect of the target action on the sensor data generated on the computing device, and store the analytics data in association with the one or more characteristics associated with the computing device one or more characteristics of the target action.

Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and/or how the patient might recover from the given surgical intervention.

Abstract: The present invention provides novel markers of the severity of a central nervous system injury, such as spinal cord injury or traumatic brain injury, in a patient. In particular, protein components of inflammasomes in the cerebrospinal fluid that can be used to assess the severity of central nervous system injury in a patient are disclosed. Methods of using such protein biomarkers to determine a prognosis, direct treatment and rehabilitation efforts, and monitor response to treatment for a patient with a central nervous system injury are also described.

Abstract: The disclosed embodiments include a system and method for patient management using multi-dimensional analysis and computer vision. The system includes a base unit having a microprocessor connected to a camera and a beacon detector. The beacon detector scans for advertising beacons with a packet and publishes a packet to the microprocessor. The camera captures an image in a pixel array and publishes image data to the microprocessor. The microprocessor uses at least a Beacon ID from the packet to determine if an object is in a room, and Camera Object Coordinates from the image data to determine the coordinates of the object in the room.

Abstract: A method for controlling bleeding from bones, comprising the use of copolymers of oxyethylene and oxypropylene or mixtures thereof to cover the bleeding portions of bones. The copolymers are resorbable by the body, not metabolized, simple to prepare, inexpensive, readily available, and do not interfere with the fusion, osteogenesis, and related tissue healing and repair of the affected bones.

Abstract: The present invention provides novel markers of the severity of a central nervous system injury, such as spinal cord injury or traumatic brain injury, in a patient. In particular, protein components of inflammasomes in the cerebrospinal fluid that can be used to assess the serverity of central nervous system injury in a patient are disclosed. Methods of using such protein biomarkers to determine a prognosis, direct treatment and rehabilition efforts, and monitor response to treatment for a patient with a central nervous system injury are also described.

Abstract: The present invention provides novel markers of the severity of a central nervous system injury, such as spinal cord injury or traumatic brain injury, in a patient. In particular, protein components of inflammasomes in the cerebrospinal fluid that can be used to assess the severity of central nervous system injury in a patient are disclosed. Methods of using such protein biomarkers to determine a prognosis, direct treatment and rehabilitation efforts, and monitor response to treatment for a patient with a central nervous system injury are also described.

Abstract: A method for controlling bleeding from bones, comprising the use of copolymers of oxyethylene and oxypropylene or mixtures thereof to cover the bleeding portions of bones. The copolymers are resorbable by the body, not metabolized, simple to prepare, inexpensive, readily available, and do not interfere with the fusion, osteogenesis, and related tissue healing and repair of the affected bones.