Abstract: An illustrative system includes a brain interface system configured to be worn by a user and to output brain activity data associated with the user; a sleep tracking device configured to be worn by the user and to output sleep tracking data associated with the user; and a computing device configured to generate, based on the brain activity data and the sleep tracking data, sleep routine data representative of a target sleep routine for the user.

Abstract: An illustrative system includes a hearing device configured to be worn by a user, the hearing device comprising an output transducer configured to present audio content to the user and an optical measurement system configured to output optical measurement data representative of one or more optical measurements performed with respect to the user.

Abstract: A method, apparatus, and system provide the ability to act on cyber risks and reduce cyber attacks. System characteristics and system information for a cyber system are gathered. The system characteristics and system information are pre-processed to identify vulnerabilities that are relevant to the cyber system. A system model of a cyber environment is generated for the cyber system. One or more features are converted from cyber threat reports to one or more semantically relevant queries over the system model. The system model is reasoned over to generate one or more answers relevant to the one or more semantically relevant queries. Attack models are executed over the system model to generate actionable intelligence and reduce cyber attacks.

Abstract: An illustrative optical measurement device includes a light source configured to emit light pulses directed at a target. The optical measurement device further includes a detector configured to detect arrival times for photons of the light pulses after the photons are scattered by the target. The optical measurement device further includes a processing unit configured to generate, based on the arrival times of the photons at the detector, histogram data associated with the target. The processing unit is further configured to determine, based on the histogram data, an absolute optical property associated with the target. The processing unit is further configured to determine, based on the absolute optical property, a blood oxygenation level of the user, and perform an operation based on the blood oxygenation level.

Abstract: Some embodiments include a system operable to construct hierarchical training data sets for use with machine-learning for multiple controlled devices. Other embodiments of related systems and methods are also provided.

Abstract: An illustrative system includes an extended reality system and a brain interface system configured to be concurrently worn by a user. The extended reality system is configured to provide the user with an extended reality experience and output a timing signal while the extended reality experience is being provided to the user, the timing signal representing a plurality of timing events that occur during the extended reality experience. The brain interface system is configured to receive the timing signal from the extended reality system while the extended reality experience is being provided to the user, acquire brain activity measurements while the extended reality experience is being provided to the user, and output measurement timestamp data representative of a temporal association of the brain activity measurements with the timing events.

Abstract: An illustrative system may include an extended reality system and a brain interface system configured to be concurrently worn by a user. The extended reality system may be configured to provide the user with an extended reality experience (e.g., an immersive virtual reality experience or a non-immersive augmented reality experience). The brain interface system may be configured to acquire one or more brain activity measurements while the extended reality experience is being provided to the user.

Abstract: Some embodiments include a system operable to construct hierarchical training data sets for use with machine-learning for multiple controlled devices. Other embodiments of related systems and methods are also provided.

Abstract: Disclosed herein are methods of detecting and treating checkpoint inhibitor responsive cancers comprising calculating, determining, or obtaining PD-L1 expression, CD8A expression, and tumor content from a cancer specimen.

Abstract: A non-invasive product customization system and a method of customizing a product formulation is provided. Brain activity of a user is detected in response to an input of a product formulation into a brain of the user via a sensory nervous system of the user. A mental state of the user is detected based on the detected brain activity. The product formulation is modified based on the determined mental state of the user. The modified product formulation may be presented to the user in a manner that modulates the mental state of the user.

Abstract: Various systems and devices for generating nitric oxide are disclosed herein. According to one embodiment, the device includes a body having an inlet, an outlet, and a porous solid matrix positioned with the body. The porous solid matrix is coated with an aqueous solution of an antioxidant, wherein the inlet is configured to receive a gas flow and fluidly communicate the gas flow to the outlet through the solid matrix to convert nitrogen dioxide in the gas flow into nitric oxide. The porous solid matrix allows the device to be used in any orientation. Additionally, the porous solid matrix provides a rigid structure suitable to withstand vibrations and abuse without compromising device functionality.

Abstract: Dinitrogen tetroxide (N2O4) is synthesized in an apparatus by the reaction of concentrated nitric acid with copper. Oxygen is applied as a carrier gas to convert NO to NO2, and water vapor is removed with a tube dryer. A molecular sieve is applied to reduce and remove impurities.

Abstract: A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.

Abstract: A non-invasive product customization system and a method of customizing a product formulation is provided. Brain activity of a user is detected in response to an input of a product formulation into a brain of the user via a sensory nervous system of the user. A mental state of the user is detected based on the detected brain activity. The product formulation is modified based on the determined mental state of the user. The modified product formulation may be presented to the user in a manner that modulates the mental state of the user.

Abstract: A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.

Abstract: An authentication system comprises a brain-computer interface (BCI) configured for detecting neural activity in a brain of a subject in response to the subject performing a repeatable mental task, and outputting neural data representative of the detected neural activity. The authentication system further comprises a computer configured for acquiring the neural data output by the BCI while the subject is performing the repeatable mental task, and generating an authorization request containing the neural data. The authentication system further comprises an authentication processor configured for acquiring the authorization request containing the neural data from the computer, authenticating the subject based on the acquired authorization request, and sending an authorization token to the computer.

Abstract: A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.

Abstract: An illustrative research support computing system maintains subject data representative of attributes for research subjects included in a potential subject pool for potential research studies. The system receives, from a client device, an input dataset representative of: 1) a set of parameters defining a research study to be conducted with respect to a research subject group, and 2) a set of criteria for research subjects that are to be included in the research subject group. The system designates a research subject included in the potential subject pool for inclusion in the research subject group based on the set of criteria, and receives research data detected for the research subject in accordance with the set of parameters. The system also provides an output dataset generated based on the research data detected for the research subject in accordance with the set of parameters. Corresponding methods and systems are also disclosed.

Abstract: A mental state awareness system comprises a non-invasive brain interface assembly configured for detecting brain activity of a user, a processor configured for determining a mental state of a user based on the detected brain activity, and a biofeedback device configured for automatically providing biofeedback to the user indicative of the determined mental state of the user.

Abstract: Brain activity of a user is detected, and a mental state of the user is determined. In one technique, life/work context is automatically presented to the user in a manner that modulates the mental state of the user. In another technique, an entertainment selection is presented to the user, and an entertainment selection list is automatically modified in response to the determined mental state of the user. In still another technique, the mental state that is determined is a negative emotional state, and life/work context is automatically presented to the user in a manner that promotes a cognitive state of the user in response to the determined emotional state of the user. In yet another technique, the wellness of the user is automatically tracked over a time period based on the determined mental state.