Abstract: There is provided a method of diagnosing a medical state associated with a neuro-psychiatric disorder in a subject, comprising: receiving EEG datasets from EEG electrodes monitoring a head of the subject, computing events for the EEG datasets, clustering the events into clusters, computing a p-adic representation of the clusters, extracting a p-adic topology from the p-adic representation of the clusters, computing a personal universal dendrogramic holographic signature (PUDHS) of the p-acid topology relative to a personalized threshold that separates between a relative large distance between events and a relatively small distance between events, the PUDHS denoting number of events below the personalized threshold, and diagnosing the medical state associated with the neuro-psychiatric disorder according to the PUDHS relative to a medical threshold that separates between presence of the medical state and non-presence of the medical state.

Abstract: The present invention provides a composition based on cannabidiol (CBD) and chitosan for use in reducing blood cholesterol, blood LDL and blood triglycerides levels.

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.

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.

Abstract: Disclosed herein is a multi-modal sensor system, including a wearable device configured to receive signals relating to a swallowing process of a subject, the wearable device including one or more surface Electromyograph sensors configured to receive signals relating to electrical potential in muscles of the throat, one or more bio-impedance sensors, one or more memories, one or more processors configured to operate one or more sensors of the wearable device, synchronize the signals to one or more predetermined events to generate a synchronization feature, receive the signals as a first diagnostic data set, analyze the first diagnostic data set, assess, based on the analysis, the swallowing process of the subject to yield an assessment output, and present the assessment output and determine a bio-impedance signal.

Abstract: Using microstate data to evaluate Alzheimer's disease including dementia and/or mild cognitive impairment and/or depression and optionally provide treatment based on the diagnosis and/or modify treatment and/or diagnosis based on response to treatment, optionally as measured using microstate data. In one example, the method includes analyzing EEG data to generate one or more EEG parameter; and generating a risk for one or both of depression and MCI (mild cognitive impairment) based on said one or more EEG parameters. Optionally, the disease comprises MCI. Optionally, the disease comprises depression. Optionally, the one or more EEG parameter comprises a microstate-derived parameter. Optionally, the one or more EEG parameter comprises a microstate duration derived parameter.

Abstract: The present disclosure provides antibodies and antigen-binding fragments thereof that specifically bind to human transthyretin (TTR). The anti-TTR antibodies or antigen-binding fragments thereof are useful, for example, in detecting TTR and in treating TTR amyloidosis in a subject.

Abstract: A method comprises: for each specific medical intervention and/or respective clinical outcome: accessing a respective specific priority list of a respective sub-set of subjects scheduled in a prioritized sequence for treatment and/or evaluation, creating a respective specific training dataset that includes data extracted from EMRs of the respective sub-set of subjects labelled with the specific priority list, and training a respective specific machine learning model on the respective specific training dataset for generating an outcome of a respective specific priority list of a sub-set of subjects for prioritized evaluation and/or treatment, in response to an input of data extracted from EMR of the sub-set of subjects, accessing a combined prioritization component for generating an outcome of a combined priority list of subjects for prioritized evaluation and/or treatment in response to an input of outcomes of the specific machine learning models, and providing the specific models and the combined prioritizat

Abstract: Embodiments relate to an implantable device for detecting leakage of matter from a mammalian lumen, the device comprising a mesh structure that is attachable to a lumen of a mammalian. The mesh structure comprises a material or a material composition that is electrically conductive and which is measurably responsive in terms of its electrical conductivity when being subjected to leakage of matter from the lumen.

Abstract: Peptides, peptidomimetics and small molecules, collectively referred to as “decoy peptides”, are provided, which interfere with binding to a TIR domain of a toll-like receptor 4 (TLR4), and inhibit a TLR4-induced signaling pathway. These decoy peptides may be useful for treating diseases associated with induction of TLR4 signaling pathway such as a disease or disorder secondary to a cardiovascular disease, sepsis or an inflammatory disease.

Abstract: A method of treating an inflammatory disease in a subject in need thereof is provided. The method comprising administering to the subject a therapeutically effective amount of a liquid chromatography fraction of a cannabis extract comprising at least 75% tetrahydrocannabinolic acid (THCA), wherein the fraction comprises cannabis derived active ingredients other than the THCA.

Abstract: Methods and kits for identifying an increased risk of developing preeclampsia in a pregnant woman based on expression pattern of non-coding RNAs in body fluids are provided. In particular, the methods provide information for identifying a pregnant woman as being at risk of developing preeclampsia by analyzing the pattern of non-coding RNAs in body fluids during early stages of pregnancy.

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.

Abstract: The present invention relates to a system and method for determining sleep quality parameters according to audio analyses, comprising: obtaining an audio recorded signal comprising sleep sounds of a subject; segmenting the signal into epochs; generating a feature vector for each epoch, wherein each of said feature vectors comprises one or more feature parameters that are associated with a particular characteristic of the signal and that are calculated according to the epoch signal or according to a signal generated from the epoch signal; inputting the generated feature vectors into a machine learning classifier and applying a preformed classifying model on the feature vectors that outputs a probabilities vector for each epoch, wherein each of the probabilities vectors comprises the probabilities of the epoch being each of the sleep quality parameters; inputting the probabilities vectors for each epoch into a machine learning time series model and applying a preformed sleep quality time series pattern function

Abstract: The present invention provides a composition based on cannabidiol (CBD) and chitosan for use in reducing blood cholesterol, blood LDL and blood triglycerides levels.

Abstract: Provided herein is a method and system for the estimation of apnea-hypopnea index (AHI), as an indicator for Obstructive sleep apnea (OSA) severity, by combining speech descriptors from three separate and distinct speech signal domains. These domains include the acoustic short-term features (STF) of continuous speech, the long-term features (LTF) of continuous speech, and features of sustained vowels (SVF). Combining these speech descriptors may provide the ability to estimate the severity of OSA using statistical learning and speech analysis approaches.

Abstract: A method of assessing a subject including: measuring a plurality of respirations of the subject; determining one or more respiration parameter from the plurality of respirations; and determining, using the one or more respiration parameter, one or more of: a state of consciousness of the subject; and a prognosis of the subject.

Abstract: Embodiments concern an intraocular implantable device operable comprising a disk-shaped body having a symmetry axis and which further comprises a light-transmissive portion and an opaque portion wherein the light-transmissive portion is decentered with respect to the symmetry axis.

Abstract: Embodiments pertain to ureteral stents for treatment of partial or full ureteral occlusion by bridging one or more ureteral occlusions, where each stent includes a tubular portion, a first spout portion and a second spout portion. The stent may have one or more tapered edges by having the smallest diameter of the first and/or the second spout portion smaller than the largest diameter of the tubular portion, and/or be of an overall length allowing the ureteral stent to be completely located within a patient's ureter once deployed therein.

Abstract: A method of distinguishing sleep period states that a person experiences during a sleep period, the method comprising: using a non-contact microphone to acquire a sleep sound signal representing sounds made by a person during sleep; segmenting the sleep sound signals into epochs; generating a sleep sound feature vector for each epoch; providing a first model that gives a probability that a given sleep period state experienced by the person in a given epoch exhibits a given sleep sound feature vector; providing a second model that gives a probability that a first sleep period state associated with a first epoch transitions to a second sleep period state associated with a subsequent second epoch; and processing the feature vectors using the first and second models to determine a sleep period state of the person from a plurality of possible sleep period states for each of the epochs.