Systems and methods of the present disclosure are directed to neural stimulation via non-invasive sensory stimuli. The non-invasive sensory stimuli can reduce neuroinflammation, improving synaptic plasticity and stimulating neural networking, and improving microglial-mediated clearance of cerebral insults, which would otherwise contribute to the progression of brain atrophy, by inducing synchronized gamma oscillations in at least one region of a brain in a subject. Stimulations can adjust, control or otherwise manage the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states or cognitive functions of the brain, while mitigating or preventing adverse consequences on a cognitive state or cognitive function that stem from progression of brain atrophy.

Disclosed is a system for associating a symptom with a medical condition. The system comprises a server arrangement, associated with a user device. The server arrangement is operable to: provide, to user device, a set of user activities; receive, from user device, information relating to selection of a user activity from set of user activities; receive, from user device, user input associated with selected user activity; analyse user input and assign performance score thereto; identify, based on performance score, one or more symptoms; and assign severity score to symptom for associating symptom with medical condition. Disclosed also is method for associating symptom with medical condition and computer program product to execute aforementioned method.

A method for facilitating a Parkinson's Disease (“PD”) assessment of a patient includes capturing first video of a patient performing first test movements while holding the mobile device; capturing second video of the patient performing second test movements while maintaining the mobile device on their person; capturing third video of the patient performing third test movements including standing and walking; capturing one or more IMU readings using an IMU of the mobile device; processing the first video, the second video, and the third video according to (i) a hand landmark model to generate one or more hand biomarkers, (ii) a face landmark model to generate one or more face biomarkers, and (iii) a body landmark model to generate one or more body biomarkers; and determining an assessment score based on a standardized PD assessment by processing the biomarkers.

Methods are provided for measuring real-time concussive and vascular brain injuries, within seconds of the incident, by using a cascading decrease of optic nerve oxygen perfusion as captured by the retina oximetry, which is representative of inherent processes taking place within the brain subsequent to various degrees of cranial insult. The methods presented herein provide for establishing baseline databases and protocols that are intended to set standards for testing and protecting athletes on the field of play and creating emergency guidelines for early treatment of cerebrovascular accidents. Further, methods of investigation presented herein are capable of creating a database of demographically representative values, that are intended to provide statistical norms significant to demographics, such as age, sex, race, location, and athletic endeavors both at rest and within an active athletic state.

A diagnosis support device includes a processor and a memory connected to or built in the processor. The processor is configured to perform non-linear registration processing of a target image which is a medical image to be analyzed and at least one representative image generated from a plurality of medical images, input at least one of transformation amount information of the target image obtained by the non-linear registration processing or a feature amount derived from the transformation amount information to a disease opinion derivation model, and output a disease opinion from the disease opinion derivation model.

The present disclosure relates to systems and methods for characterizing a behavior change of a process. A behavior model that can include a set of behavior parameters can be generated based on behavior data characterizing a prior behavior change of a process. A stimulus parameter for a performance test can be determined based on the set of behavior parameters. An application of the performance test to the process can be controlled based on the stimulus parameter to provide a measure of behavior change of the process. Response data characterizing one or more responses associated with the process during the performance test can be received. The set of behavior parameters can be updated based on the response data to update the behavior model characterizing the behavior change of the process. In some examples, the behavior model can be evaluated to improve or affect a future behavior performance of the process.

A method for assessing a cancer status of biological tissue includes the steps of: obtaining a Raman spectrum indicating a Raman spectroscopy response of the biological tissue, the Raman spectrum captured using a fiber-optic probe of a fiber-optic Raman spectroscopy system; inputting the Raman spectrum into a boosted tree classification algorithm of a computer program, and using the boosted tree classification algorithm for comparing, in real-time, the captured Raman spectrum to reference data and assessing the cancer status of the biological tissue based on said comparison, the reference data being previously determined based on a set of reference Raman spectra indicating Raman spectroscopy responses of reference biological tissues wherein each of the reference biological tissues is associated with a known cancer status; and generating a real-time output indicating the assessed cancer status of the biological tissue,

A method for automatically detecting a clinically relevant leak and/or inadequate closure following a medical procedure, in a hollow organ residing in the interior volume of a body cavity. The test method includes the steps of: injecting, via an adapted injection element, a specific test gas or a gas mixture containing at least one test gas, into the organ, analyzing the gas mixture and measuring the test gas concentration in the interior volume of the body cavity via an adapted detection element and at least during a measurement window, evaluating the likelihood of the presence of a leak and its degree of severity, by comparing stored data and real-time data with each other. The pressure difference between the interior of the hollow organ(s) and the interior volume of the body cavity is controlled or mastered at least at a given moment during at least one measurement window.

Some methods of analyzing one or more brain lesions of a patient comprise, for each of the lesion(s), calculating one or more lesion characteristics from a first 3-dimensional (3D) representation of the lesion obtained from data taken at a first time and a second 3D representation of the lesion obtained from data taken at a second time that is after the first time. The characteristic(s) can include a change, form the first time to the second time, in the lesion's volume and/or surface area, the lesion's displacement from the first time to the second time, and/or the lesion's theoretical radius ratio at each of the first and second times. Some methods comprise characterizing whether the patient has multiple sclerosis and/or the progression of multiple sclerosis in the patient based at least in part on the calculation of the lesion characteristic(s) of each of the lesion(s).

The present disclosure describes methods and systems for predicting severe disease in an individual with sepsis or at risk of developing sepsis, in order to prevent severe disease in an individual with sepsis. The present disclosure also describes methods of using topological data analysis and/or clustering to stratify sepsis based on biomolecular signatures and identify distinct phenotypes in sepsis patients.