A method is to be implemented by a computing device and includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image, brain image regions each of which contains a respective portion of diffusion index values of at least one diffusion index, which results from image processing performed on said at least one MRI image; b) for each of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) diagnosing the brain examined with one of predetermined categories of the neurological disorder by performing classification on a combination of the characteristic parameters via a classifier.

A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

The present invention provides methods for identifying biomarkers of disease capable of affecting cognitive function. The biomarkers identified by the methods of the prevention may be used for predicting whether a mammal will develop a disease capable of affecting cognitive function. More specifically, the present invention relates to the identification of biomarkers predictive of neurological diseases in a mammal and the use of these biomarkers in the diagnosis, differential diagnosis, and/or prognosis of the neurological disease. The methods and systems provided enable an assessment and theoretical prediction of neocortical amyloid loading based on the measurement of biomarkers that will provide an indication of whether a mammal is likely to develop a neurological disease.

Methods and systems for determining whether brain tissue is indicative of a disorder, such as a neurodegenerative disorder, are provided. The methods and systems generally utilize data processing techniques to assess a level of congruence between measured parameters obtained from magnetic resonance imaging (MRI) data and simulated parameters obtained from computational modeling of brain tissues.

Aspects include methods, systems and computer program products for evaluating a patient for a movement disorder. The method comprises defining a patient to be evaluated and deploying a unmanned aerial vehicle (UAV) to a location of the patient. The UAV includes a patient evaluation feature and at least one sensor operably coupled to the patient evaluation feature. The UAV is positioned relative to the patient to measure a patient motor characteristic. The patient motor characteristic is measured with the at least one sensor. A movement disorder is determined based at least in part on the measured patient motor characteristic. A signal is transmitted based on the detecting the movement disorder.

Techniques and mechanisms for detecting and evaluating grip by a user operating a handheld tool. In an embodiment, the tool includes a handle, one or more pressure sensors disposed in or on the handle, and an attachment arm. An output from the one or more sensors is generated while a user-assistive device is coupled to a distal end of an attachment arm of the tool. Logic of the tool calculates a grip metric based on the sensor output, and the tool transmits, based on the grip metric, a signal including medical diagnostic information. In another embodiment, the user-assistive device includes a utensil attachment or a personal hygiene attachment.

Systems and methods for tracking unintentional muscle movements of a user and stabilizing a handheld tool while it is being used by the user are described. The method may include detecting motion of a handle of the handheld tool manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool. Furthermore, the method may include storing the detected motion in a memory of the handheld tool as motion data. The method may also include controlling, based on the motion data, a motion-generating mechanism of the handheld tool that moves the attachment arm relative to the handle in a single degree of freedom in a direction of the detected motion of the handle.

A method for quantifying a content of hydrophobic components contained in a liquid using a contact area diffusion factor (CADF) of a droplet of the liquid to a solid surface is provided. In addition, the obtained content of the hydrophobic components provides information about prediction for possibility of developing a metabolic disease or dementia, or information about the incidence or progression of a metabolic disease or dementia.

Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.

In imaging analysis of a living body, a Region Of Interest (ROI) is set on the basis of the state of radiopharmaceutical accumulation. An example for setting an ROI includes: performing first transformation for anatomically standardizing, with the use of a positive template, a nuclear medicine image acquired by applying a radiopharmaceutical to a subject; performing second transformation for anatomically standardizing, with the use of a negative template, the nuclear medicine image; calculating a degree of similarity between a first anatomical standardization image acquired by the first transformation and the positive template; calculating a degree of similarity between a second anatomical standardization image acquired by the second transformation and the negative template; and applying, to an ROI template, inverse transformation of the first transformation or the second transformation, whichever has the higher of the calculated degrees of similarity, in order to set the ROI.