An input dataset is processed to obtain a pre-event window of model inputs and a post-event window of model inputs. The input dataset is a subset of a larger subject-patient dataset that includes different data types and features of the patient. The data types are based on electrical activity of the patient's brain that is sensed and stored by an implanted neurostimulation system. A clinical response estimator (CRE) model is applied to the pre-event window of model inputs to derive pre-event CRE biomarkers. The CRE model is also applied to the post-event window of model inputs to derive post-event CRE biomarkers. The pre-event CRE biomarkers and post-event CRE biomarkers are displayed as a function of time together with the occurrence of the event of interest.

An implanted neurostimulation system is configured to sense episodes of electrographic events and determine durations of episodes. Durations of electrographic events sensed by the implanted neurostimulation system are mapped with seizure probability biomarkers derived from records of the electrographic events to create a mapping function. A seizure probability biomarker that has a value desired for the operation of the implanted neurostimulation system is selected. The duration mapped to the selected seizure probability biomarker is identified and programmed into a control module of the implanted neurostimulation system as a programmed parameter that triggers the operation by the implanted neurostimulation system. The process may be repeated for other operations of the implanted neurostimulation system.

This invention relates to disease detection by imaging and treatment of virus infection. Previously, there was no way to use CEST MRI imaging to early detect and map the neurodegenerative diseases, multiple sclerosis disease, concussion, and traumatic brain injury. Also, previously, there was no way to use Computed Tomography (CT) imaging to early detect and map the neurodegenerative diseases. Embodiments of the present invention use a non-invasive CEST MRI imaging method is disclosed for early detection of diseases by using MRI or by using CT. The endogenous (MRI) contrast of the biological tissue can rely on the endogenous protons of the proteins and peptides as a source of the contrast, such as hydroxyl, amine, and amide protons, and thereby provide imaging and mapping for the early detection of the neurodegenerative diseases, multiple sclerosis disease, concussion, traumatic brain injury, and other diseases by using endogenous protons contrast via CEST MRI. Also, the exogenous agents can be used to produce MRI contrast, such as agents contain exchangeable protons and thereby provide imaging and mapping the inflammation in cancer and the expressed proteins in cancer cells for cancer detection. Also, using exogenous CT contrast agents for detection of amyloid beta, tau protein, alpha-synuclein protein, and aggregation proteins in neurodegenerative diseases and inflammation in many diseases such as neurodegenerative diseases, cancer and other inflammatory diseases Also, this invention relates to novel methods of treatment virus infection and enhance the immune system to produce antibodies against the viruses.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for providing treatment to the brain. Described are methods and devices to provide treatment to the brain that involves no medication. Methods and devices described herein use alternating magnetic fields to provide treatment to the brain.

Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for providing treatment to the brain. Described are methods and devices to provide treatment to the brain that involves no medication. Methods and devices described herein use alternating magnetic fields to provide treatment to the brain.

A system and method for analyzing and logging changes in brain state of a subject for administering therapy to the subject based on the at least one cardiac signal wherein the system and method comprises the steps of receiving at least one cardiac signal of the subject into a processor, analyzing the cardiac signal to detect at least one cardiac signal change indicative of a brain state change, and logging at least one characteristic of the detected signal change or brain state change.

Devices, systems and methods are disclosed for treating seizures, such as epileptic seizures, by electrical non-invasive stimulation of a nerve, such as the vagus nerve. A stimulator comprises a contact surface, such as an electrode, for contacting an outer skin surface of a patient. The stimulator is configured for coupling to a mobile device configured to receive a wireless signal. The stimulator is configured to transmit the electrical impulse through the contact surface and the outer skin surface sufficient to modulate a nerve within a patient and to ameliorate one or more symptoms of a seizure in the patient.

A system and a method for processing multiple signals generated by sensors processing to identify and/or monitor physiological data of an individual (for example in healthcare system) or general statement of an environment, a predetermined space (for example a room, a machine, a building) or an object (for example in smart home system, environment monitoring system, fire prevention system or the like).

A method of estimating the probability of a seizure in a subject, the method comprising: receiving historical data associated with epileptic events experienced by the subject over a first time period, the historical data comprising physiological data associated with each epileptic event and a time at which each epileptic event occurred; generating a temporal probability model of future epileptic events based on the time of each of the epileptic events, the temporal probability model representing a probability of a future seizure occurrence in each of a plurality of time windows; generating a probabilistic model based on the physiological data associated with each epileptic event; weighting the probabilistic model based on the temporal probability model to generate a weighted probabilistic model of future seizure activity; and outputting an estimate of seizure probability in the subject using the weighted probabilistic model.