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.

Abstract: A method of predicting an analyte level comprises receiving a time-ordered series of levels of the analyte, monitored over a time-period; feeding a trained neural network procedure with the monitored levels; and displaying, based on an output received from the procedure, a predicted level of the analyte in a future time. The procedure can comprise a plurality of layers, wherein for at least one pair of layers, a number of inter-layer connections within the pair is higher for later monitored levels than for earlier monitored levels.

Abstract: A new approach is presented to reduce encrustation of catheters by the application of nanoparticles. It is demonstrated that the negatively surface charged nanoparticles produce coating films comprised of long-range domains in which the nanoparticles are self-assembled into a mosaic-like order, showing a relatively small tendency to agglomerate.

Abstract: According to some embodiments there is provided a wearable device for breast screening, comprising: at least one breast-contacting member shaped to contact a surface of a breast, the member comprising an array of force applying units and an array of sensors configured for sensing at least one parameter in response to force applied by the force applying units; the force applying units and the sensors disposed on or within the breast-contacting member and positioned to contact a surface of the breast; a memory storing one or more patterns suitable to detect a lump underlying the surface; wherein the pattern comprises a sequence of forces that vary spatially and/or vary in time; a controller configured for: reading data from the memory to control application of force; communicating with the sensors to receive signals associated with the at least one parameter sensed in response to the application of force; and to process the received signals to detect a lump.

Abstract: The invention provides methods for preventing, ameliorating and treating the acute and chronic forms of graft-versus-host disease (GVHD) by using Cannabidiol compositions.

Abstract: A method of determining a value for an apnea-hypopnea index (AHI) for a person, the method comprising: recording a voice track of a person; extracting features from the voice track that characterize the voice track; and processing the features to determine an AHI.