The invention provides a method of treating, preventing or ameliorating Parkinson's disease with Prasinezumab.

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

A vibrating gastrointestinal capsule and method of use thereof for treating Parkinsonism in a subject, the method including: (a) providing a vibrating gastrointestinal capsule having a housing; a vibrating agitation mechanism adapted such that, in a vibrating mode of operation, the housing exerts vibrations on an environment surrounding the capsule; and a power supply disposed within the housing and adapted to power the vibrating agitation mechanism; (b) ingesting the capsule, by the subject; and (c) controlling the vibrating agitation mechanism such that at least a portion of the vibrating mode of operation occurs within the stomach and/or the small intestine of the subject.

A neurostimulation system comprises at least one stimulation electrode configured to deliver an electrical stimulus to neural tissue and at least one measurement electrode configured to record a neural recording of a response of the neural tissue to the stimulus. A processor is configured to assess the neural recording to produce a measure of postsynaptic activation.

A device is provided for stimulating neurons that includes a non-invasive stimulation unit that generates stimuli in multiple stimulation channels. The stimulation unit generates the stimuli to stimulate a neuron population in the brain and/or spinal cord of a patient using the stimulation channels in different locations. Moreover, the device includes a control unit that controls the stimulation unit to repeatedly generates sequences of the stimuli with the order of the stimulation channels in which stimuli are generated within a sequence being constant for 20 or more successively generated sequences before it is varied.

Systems, methods, and devices for automatic generation of a stimulation therapy that mimics electrographic activity in the brain at natural seizure termination define a stimulation therapy to be generated by an implanted component of a medical device system and delivered to a subject through identifying data characterizing a patient's seizures, especially at termination. A machine learning model identifies the seizures or seizure types from which to establish a canonical seizure or seizure type, and an algorithm translates the canonical seizure or seizure type into data that can be used to characterize a stimulation therapy. The systems, methods, and devices, include those configured to deliver the stimulation therapy that emulates the canonical seizure or seizure type when the seizure is detected, with the aim of terminating the seizure sooner than it would terminate without intervention.

An active skull replacement system including an implant having an area A, an upper surface, and a bottom surface, adapted to be implanted at least in part into a skull of a subject so to substitute a portion of the skull, the bottom surface arranged to face at least in part a cranial cavity, and having a first wireless bidirectional data communication device, a device operably connected to the bottom surface of the implant, the device adapted to at least one of stimulate a physiological response and record a physiological parameter of the subject, and an external reader adapted to be placed on the scalp of the subject and including a second wireless bidirectional data communication device configured to communicate with the first wireless bidirectional data communication device of the implant to operate the device, wherein the external reader and the implant are fixed and aligned among each other through a magnetic device.

A neural analysis system, including: a neural event extractor for generating Sp/Ap curve data and field potential data for background and initial response segments obtained from a person; a correlator for correlating the Sp/Ap curve data and field potential data with pathology data for a condition, and generating biomarker data points for axes of a biomarker display; and a display module for providing display data to generate the display with the points for use in assessing the person relative to the condition.

A neuromodulation system for treatment of physiological disorders. The system includes one or more stimulators for stimulating one or more cranial nerves; one or more detectors configured for detecting a predetermined physiological state; and a control unit that controls nerve stimulation by the one or more stimulators so that it is synchronized with the at least one predetermined physiological state detected by the one or more detectors. A method of neuromodulating a patient for treatment of physiological disorder. The method includes the steps of detecting a predetermined physiological state and applying stimulation to one of the cranial nerves during the predetermined physiological state by one or more stimulators of a neuromodulation system.

Disclosed herein is a gait analysis apparatus that is configured to provide multidimensional measures of the gait of an individual as the individual traverses the gait analysis apparatus. The gait analysis apparatus may be configured to provide a gait measuring processing device with the multidimensional measurements. Based on the multidimensional measurements, the gait measuring process device may, for example, diagnose the test subject with lameness or particular neuromuscular dysfunctions (NM) disease and/or injury, monitor progression of lameness or a particular NM disease and/or injury over time, determine a static weight as the test subject is traversing, monitor the static weight of the test subject over an extended period time, and/or determine which measurements may be used as biomarkers to identify lameness or the particular NM disease and/or injury. A system including a gait analysis apparatus is also disclosed.