The present disclosure provides methods for diagnosing and determining the disease progression of neurodegenerative disorders in patients using neurophysiological biomarkers.

Disclosed is a method for diagnosing a neurodegenerative disease in a subject. The method comprises obtaining from the subject a sample comprising at least one live blood cell, and optionally isolating at least one live blood cell from the sample. The method further comprises generating one or more multispectral or hyperspectral images of the at least one cell, and analysing spectral characteristics of autofluorescence from the at least one cell. Also disclosed is a system configured to aid in the detection or diagnosis of a neurodegenerative disease. Also disclosed is a method for selecting a subject for treatment for a neurodegenerative disease. Also disclosed is a method for monitoring the response of a subject to a therapeutic treatment for a neurodegenerative disease. Also disclosed is a protocol for monitoring the efficacy of a therapeutic treatment for a neurodegenerative disease.

A dementia determination system includes: an obtainer that obtains a consecutive press ratio which is a ratio of a total number of consecutive presses of a button of an operating device to a total number of presses of the button of the operating device, the consecutive presses being presses of the button made at time intervals each shorter than or equal to a reference time interval, the operating device being used by a user to operate an electric device; a determiner that determines a dementia level of the user based on the consecutive press ratio obtained by the obtainer; and an outputter that outputs dementia information indicating the dementia level determined by the determiner, wherein the determiner determines that the dementia level is higher as the consecutive press ratio is higher.

Disclosed is a system and method for performing measurements on a biological subject, and in one particular example, to performing measurements of analytes in a biological subject by breaching a functional barrier of the subject using microstructures, wherein the one or more microstructures include molecularly imprinted polymer for binding one or more analytes.

A method of determining a condition of a user, the method may include: monitoring one or more activities performed by a user during a predetermined monitoring time period; determining one or more activity complexity datasets each for one of the one or more monitored activities; determining a user complexity model based on at least one of the one or more activity complexity datasets; determining a distance vector between the user complexity model and a reference user complexity model; and determining a condition of the user based on the distance vector and a reference distance-condition model.

Disclosed herein are systems and methods of analyzing 3D structure of a portion of the CNS. An analytics module may be used to calculate one or more metrics the describe changes in the 3D structure of a CNS structure over time. The one or more metrics may be used to identify patterns of structural change prior to progressive symptom development. Healthcare providers may use the one or more metrics and or patterns of structural change to diagnose neurological conditions, track the progress of neurological conditions in the patient, and determine the patient's risk of progressive disease development. The 3D structure analytics techniques described herein may also be used to develop treatments and create a care delivery that is individualized for each patient.

A method for performing an eye test includes the steps of: receiving a request from a user to perform the eye test; acquiring predetermined user identification data from the user; presenting or providing at least one test image to the user, the at least one test image including at least one test target contained therein; instructing the user to identify at least one of the at least one test target(s) contained within the at least one test image; acquiring response data associated with the user's attempt(s) to identify the at least one test target(s) contained within the at least one test image; aggregating and/or analysing the acquired user identification data and/or the response data utilising a test algorithm which determines result data; and, presenting or providing the result data to the user.

Method and apparatus obtain information about a patient and/or a respiratory therapy system that is configured to deliver respiratory therapy to the patient. The respiratory therapy system may include a flow generator configured to generate a supply of pressurized air along an air circuit to a patient interface. A sound signal representing a sound in the air circuit may be processed to obtain cepstrum data. A time series of delay estimates based on acoustic signatures of the cepstrum data may be generated. Each acoustic signature may represent a reflection of sound from a patient interface along the air circuit. Variation in the time series of delay estimates may be analysed. One or more output indicators based on the variation may be generated. The one or more output indicators may concern patient and/or system status.

Systems, methods, and computer-readable media for analyzing health information to generate medical assessments are described. Health information may include any type of information associated with the health or physical characteristics of a patient. Non-limiting examples of medical assessments include medical diagnoses, medical orders, and risk assessments. A health information analysis system may access health information associated with a patient and provide a medical assessment based on various analyses of the health information. The health information analysis system may receive feedback associated with the medical assessments, such as historical information and/or user input regarding the accuracy or completeness of the medical assessment. The feedback may be used by the health information analysis system to update the analyses of the health information.

Systems and methods relate to multi-modal imaging of tissue combined with highly focused radiation interventions. The system is a portable multimodal imaging unit that integrates imaging and image analysis. The system can be retrofitted to use with any commercial radiation therapy machine. In one aspect, a system integrates various imaging modalities into a single, coordinated structure. The system integrates X-ray and cone beam computed tomography (CBCT), optical imaging (such as bioluminescent imaging (BLI), fluorescence tomography (FT)), and positron emission tomography (PET) imaging in a single, self-contained structure.