Described are systems for spatial cognitive ability assessment wherein a subject is able to manipulate one or more object(s) that is monitored by a device for recording motion attached to the object(s), the subject, or both that is able to generate motion electronic data. Also described are methods for assessing spatial cognitive ability.

A system and method for a therapeutic apparatus that includes an external casing of a first therapeutic apparatus, wherein the external casing comprises of a plush body, the external casing comprising at least one compartment; a therapeutic module system that comprises of a set of interaction devices and a wireless communication system, wherein the therapeutic module system may be removably oriented into the at least one compartment; the set of interaction devices comprising of: sensing inputs that comprise of a auditory sensing system, a haptic sensing system, an olfaction sensing system, and other biosensing systems, and output systems that comprise of at least an auditory feedback and haptic feedback systems; and a processing system that comprises configuration to assess the state of a subject through the sensing inputs and control the output systems in response to the sensing inputs.

The present invention relates to an AI (Artificial Intelligence) based device for providing brain information comprising: a brain signal measuring portion that collects a signal related to user's brain; a brain signal stimulating portion that stimulates the user's brain for an operation of collecting a signal of the brain signal measuring portion; and a diagnosing portion that determines the user's brain state on the basis of the collected signal.

ALCAM/CD166 has recently been discovered as a novel therapeutic target of Alzheimer's Disease and providing a personalized therapy thereof disclosed herein, wherein the personalized therapy in an embodiment of the invention, may include recombinant human fusion protein ILT3Fc or functional fragment thereof when the individual patient does not test positive (i.e., is a non-carrier) for the protective rs2030515 (G) SNP. The present disclosure is further directed to achieving successful ALCAM/CD166 target modulation by administration of a sufficient, and brain-penetrating intravenous dose of ILT3Fc, or alternatively or additionally, by direct CNS administration of a significantly reduced dose that achieves both CNS and peripheral systemic exposure; the disclosure is further directed to in-vivo circulating biomarkers of ALCAM/CD166 for application in neurodegenerative disease and related disorders.

The present disclosure provides systems and methods that generating health diagnostic information from an audio recording. A computing system can include a machine-learned health model comprising that includes a sound model trained to receive data descriptive of a patient audio recording and output sound description data. The computing system can include a diagnostic model trained to receive the sound description data and output a diagnostic score. The computing system can include at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed, cause the processor to perform operations. The operations can include obtaining the patient audio recording; inputting data descriptive of the patient audio recording into the sound model; receiving, as an output of the sound model, the sound description data; inputting the sound description data into the diagnostic model; and receiving, as an output of the diagnostic model, the diagnostic score.

A plurality of individually addressable electrodes is supported by a housing. The individually addressable electrodes are for at least one of applying stimulation electrical signals to skin of a user and detecting biometric electrical signals from the skin of the user. At least one of a signal detector is provided for detecting the biometric electrical signals and a signal generator is provided for generating the stimulation electrical signals. An electrode multiplex circuit is provided for addressing the plurality of individually addressable electrodes by at least one of routing the biometric electrical signals from the skin of the user through more than one of the plurality of individually addressable electrodes to the signal detector and routing the stimulation electrical signals from the signal generator through more than one of the plurality of individually addressable electrode to the skin of the user. A microprocessor is provided for controlling at least one of the signal detector, the signal generator, the electrode multiplex circuit.

The exemplified system and method facilitate an objective, non-invasive measurement of myelin quality and integrity in living brains based on isolation of myelin-specific magnetic relaxation constants in k-space. The system uses magnetic resonance (MR) signals to select signatures specific to, or associated with, myelin and its structure and to then encode the selected signatures into an image or model to which the quantitative myelin health information can be co-registered with 2D, 3D visualization, and tractography of the myelin-signal isolated MR information. The system also sets a model for digital hierarchical learning of biomedical signals in MR, and beyond, based on experimental data in which it executes the herein described signal isolation operations.

A method and system for remote diagnosis of a cognitive disorder in humans are provided. The system comprises receive, over a network, at least one facial image of a patient; extracting, from the at least one facial image, at least one facial feature indicative of a cognitive decline; classifying the at least one extracted facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a score indicating a stage of a cognitive decline; and determining a positive diagnosis of a cognitive decline of the patient, based on the score provided by the classifier in response to the at least one extracted facial feature.

An apparatus for evaluating cognitive function of a patient. The apparatus has a physiological monitor adapted to output physiological measurements of a given bodily function of the patient, wherein the bodily function is regulated by the autonomic nervous system of the patient; a cognitive exercise evaluator adapted to obtain performance information of the patient when carrying out a cognitive exercise with a given difficulty; a general-purpose processor; and computer-readable memory adapted to store program code for evaluating the cognitive function of the patient, the program code comprising instructions to receive the physiological measurements and the performance information, and provide an evaluation of the cognitive function of the patient.

Currently, assessing the severity and progression of symptoms in a patient diagnosed with Huntington's disease involves in-clinic monitoring and testing of the patient every 6 to 12 months. However, monitoring and testing a patient more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the patient. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the patient outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the patient. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing one or more symptoms of Huntington's disease in a patient by passive monitoring of the patient and/or active testing of the patient.