TMS PROTOCOL AND ASSESSMENT
    2.
    发明申请

    公开(公告)号:US20250061999A1

    公开(公告)日:2025-02-20

    申请号:US18719323

    申请日:2022-12-13

    Abstract: A system which can be used for carrying out a method for determining an efficacy of a transcranial magnetic stimulation (TMS) treatment, including: delivering TMS to a patient using a TMS protocol in a TMS treatment session; recording EEG signals before and after the delivering during the treatment session; recording EEG signals after completion of the treatment session; analyzing the recorded EEG signals to generate values of one or more EEG parameters; determining an acute effect and an intermediate effect of the TMS protocol on a brain state of the patient based on a change in values of the one or more EEG parameters; determining an efficacy of the TMS protocol based on the determined acute effect and the intermediate effect.

    PREDICTING ONSET AND PROGRESSION OF NEURODEGENERATIVE DISEASES USING BLOOD TEST DATA AND MACHINE LEARNING MODELS

    公开(公告)号:US20250037877A1

    公开(公告)日:2025-01-30

    申请号:US18910178

    申请日:2024-10-09

    Abstract: Methods and systems for predicting the onset and progression of neurodegenerative diseases using blood test data and machine learning models are disclosed. The method involves receiving blood test values for a target subject over a previous time period, extracting features from the blood test data, and applying a trained predictive model to compute a risk score indicating the probability of developing a neurodegenerative disease. The system includes a processor that executes code to perform the method and can be implemented as a standalone application, cloud-based service, or integrated with healthcare systems. The predictive models are trained using supervised learning on labeled data and can include statistical models or machine learning algorithms. The systems and methods enable early detection of neurodegenerative diseases, personalized risk prediction, and integration with existing healthcare infrastructure. By leveraging blood test data and machine learning techniques, patient outcomes may be improved.

    EEG P-ADIC QUANTUM POTENTIAL IN NEURO-PSYCHIATRIC DISEASES

    公开(公告)号:US20230368916A1

    公开(公告)日:2023-11-16

    申请号:US18027946

    申请日:2021-09-23

    CPC classification number: G16H50/20

    Abstract: There is provided a computer implemented method of diagnosing a medical state associated with a neuro-psychiatric disorder in a subject, comprising: receiving a plurality of EEG datasets, each respective EEG dataset from a respective EEG electrode of a plurality of EEG electrodes monitoring a head of the subject, clustering the plurality of EEG datasets into a plurality of clusters, computing a p-adic representation of the plurality of clusters, extracting a quantum potential value from p-adic representation of the plurality of clusters, and diagnosing the medical state associated with the neuro-psychiatric disorder according to the quantum potential relative to a threshold that separates between presence of the medical state and non-presence of the medical state.

    DEVICES AND METHODS FOR CAPSULE SHIELDING IN CATARACT SURGERY

    公开(公告)号:US20220110791A1

    公开(公告)日:2022-04-14

    申请号:US17430449

    申请日:2020-03-04

    Abstract: Aspects of embodiments pertain to a lens capsule shielding device for cataract surgery, the shielding device comprising a handle and at least one shielding element slidably mounted inside the handle. The shielding element is selectively configurable in an deployed configuration and a retracted configuration, wherein the at least one shielding element, in the deployed configuration, is operable to be positionable between lens portions of the patient's eye and posterior lens capsule portion of the eye and configured to function as a shield for preventing damage of the posterior lens capsule portion during the application of energy for fragmenting lens portions and/or for preventing damage from suction forces applied for the removal of lens fragments.

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