1276 results about "Psychiatry" patented technology

The invention provides a composition beneficial to improvement of brain cognition, memory and sleep and prevention and improvement of Alzheimer's disease, and belongs to the technical field of health food. The composition comprises L-alpha-glycerophosphorylcholine (GPC), phosphatidylserine (PS), docosahexaenoic acid (DHA), tea leaf theanine (L-theanine), vitamin B groups, vitamin D3 and the like, and is prepared into a health care product, a dietary supplement, a functional food, a medical food or a nutritional supplement by adopting the existing technology. The traditional Chinese medicine composition has the effects of effectively nourishing nerve cells, improving the brain sensitivity and improving the cognitive function. The composition is particularly directed at age-related cognitive decline and neurodegenerative diseases. Repair and regeneration of nerve cells can be promoted, the transmission efficiency of neural signals is enhanced, and the overall working efficiency of the brain is improved. Daily life challenges caused by cognitive decline can be relieved, and individual life quality can be improved.

The present disclosure relates generally to compounds, their methods of synthesis, and their use in the treatment of mental illness or central nervous system disorders.

The present disclosure provides a method of treating a symptom or preventing a symptom of generalized anxiety disorder comprising administering an orally disintegrating tablet comprising LSD, or a salt thereof, to a subject in need thereof.

The embodiment of the invention provides a cognitive training method and system based on an eye movement tracking control technology, and relates to the field of eye movement tracking, and the method comprises the steps: obtaining test data, corresponding to a plurality of eye movement test tasks, of a tested person; wherein the various eye movement test tasks comprise eye movement test tasks corresponding to each cognitive ability to be evaluated, aiming at each cognitive ability, according to eye movement test data, related to the cognitive ability, of the testee, index values of various ability evaluation indexes, corresponding to the cognitive ability, of the testee are determined; and determining the ability score corresponding to the cognitive ability, and determining a matched target cognitive training game according to the ability scores corresponding to various cognitive abilities of the testee. According to the method, the cognitive competence is evaluated based on the eye movement data of the testee, and the matched game is selected according to the evaluation result to train the cognitive competence, so that the interestingness of cognitive training is enhanced, and the training effect of cognitive training is remarkably improved.

The present disclosure provides methods to quantify and analyze various CSF Tau species and the use thereof to measure pathological features and / or clinical symptoms of tauopathies, including determining the amount of time to dementia due to Alzheimer's disease, determining the time from dementia onset, staging Alzheimer's disease, guiding treatment decisions, and evaluate the clinical efficacy of certain therapeutic interventions.

The invention discloses an intelligent intervention system for children with autism spectrum disorder based on multi-modal neural feedback, which comprises a multi-modal physiological signal acquisition module for acquiring electroencephalogram signals of a target child in real time and generating an original physiological signal set; the multi-modal fusion analysis module receives the original physiological signal set and generates a comprehensive evaluation signal representing the current neurocognitive state and the emotion awakening level of the child; the self-adaptive decision control module receives the comprehensive evaluation signal and generates a self-adaptive control signal containing a neural feedback parameter adjustment instruction and a game interaction strategy instruction; the neural feedback intervention module receives the neural feedback parameter adjustment instruction and generates an adaptive neural feedback stimulation signal to act on the child; and the intelligent interactive game module receives a game interactive strategy instruction and dynamically adjusts game scene contents. The intelligent intervention system for children with autism spectrum disorder based on multi-modal neural feedback can solve the problems of poor individual adaptation of autism intervention, multi-modal data splitting and lack of dynamic adjustment.

The present disclosure is directed to acetyl-leucine or a pharmaceutically acceptable salt thereof for use in improving cognitive function, mobility, or cognitive function and mobility in a subject, for example, in an elderly subject.

The invention relates to the technical field of clinical treatment scheme recommendation. The invention relates to a clinical treatment scheme recommendation method based on brain diseases. The method comprises the following steps: S1, collecting brain examination data of a patient and other collectable body data, and then extracting disease features and other features of the brain; s2, collecting a historical clinical treatment scheme set and corresponding historical patient data, and combining the historical clinical treatment scheme set with the historical patient data to score the effect of the treatment scheme; according to the scheme adjusting model, the system can carry out personalized adjustment on the treatment scheme according to individual differences of patients, the unique characteristics of each patient are considered, the most suitable treatment scheme is customized for the patient, and meanwhile, the treatment effect of the treatment scheme is predicted by applying a simulation analysis technology; a doctor and a patient can roughly know effects possibly brought by different schemes before treatment, so that the doctor can select a scheme with a better curative effect expectation, and blind attempts are avoided.

Intranasal dry powder epinephrine compositions are described herein. The compositions include epinephrine or a pharmaceutically acceptable salt thereof, as well as a stabilizing agent and a carrier. The stabilizing agent is operable to include citric acid, or a pharmaceutically acceptable salt derived therefrom. Such intranasal compositions as described herein are useful in the treatment of health conditions which threaten the central nervous system (CNS) and impede the actions of alpha and beta-adrenergic receptors. Such health conditions include anaphylaxis, bronchospasms, respiratory impairment, organophosphate poisoning, and major adverse cardiac events (MACE).

The disclosure relates to methods and kits for detecting tau, e.g., tau that is phosphorylated at amino acid position T181 (pTau181), tau that is phosphorylated at amino acid position T217 (pTau217), and / or total tau. The disclosure further provides methods for distinguishing between individuals whose cognitive condition will remain stable and whose cognitive condition will decline during their lifetime. The disclosure also provides methods for determining the eligibility of individuals for participation in clinical trials for Alzheimer's disease treatments. Also provided are methods for distinguishing between individuals with Alzheimer's disease and non-Alzheimer's dementia, and for monitoring response to treatment for Alzheimer's disease.

The invention provides an intelligent psychological counseling system based on a multi-mode large model and a cognitive behavior therapy, and the system comprises the steps: recognizing voice from a user side through the multi-mode large model, and obtaining text information and emotional state information; analyzing the text information by using a large language model, carrying out conversation with the user side, and extracting psychological state information of the user side from the conversation; a cognitive behavior treatment strategy matched with the user side is determined according to the emotional state information, so that a voice response to the user side is generated according to the matched cognitive behavior treatment strategy by using a multi-mode large model; by combining a multi-modal large model and a large language model, accurate and efficient natural language understanding of a user side is realized, highly anthropomorphic voice response is provided, dependence on professional psychological consultants is reduced, limitation of psychological consultation services on time and regions can be broken through, large-scale consultation service requirements can be met in an all-weather and low-cost manner, and the psychological consultation service experience is improved. The man-machine interaction experience in the consultation process is improved, and high-quality and high-practicability psychological consultation and treatment services are provided.

The present technology relates to a method of treating one or more behavioral symptoms of Autism Spectrum Disorder (ASD) in a subject by transdermally administering an effective amount of cannabidiol (CBD) to the subject wherein one or more behavioral symptoms of ASD are treated in the subject.

The invention provides methods of improving sleep in a patient having a variant of the cryptochrome circadian clock 1 (CRY1) genotype associated with a circadian rhythm sleep disorder (CRSD) Delayed Sleep Wake Phase Disorder (DSWPD).

The invention belongs to the technical field of cognitive impairment intervention evaluation, and particularly relates to an evaluation system and method applied to cognitive impairment intervention. According to the method, the cognitive state is evaluated and the training tasks are allocated based on the real data of the user in the natural life scene, so that the one-sidedness of only depending on a laboratory or one-time evaluation is avoided, the training and intervention are closer to the real demand and life situation of the user, and the training efficiency is improved through multi-source data fusion. The influence of single signal noise or accidental fluctuation on judgment is reduced, the robustness and objectivity of evaluation are improved, indexes such as cognitive performance, intervention indexes and deviation degree are numeralized, long-term tracking and transverse comparison of the effects of different intervention measures are facilitated, interpretable quantitative evidences are provided for clinical personnel, and the accuracy of evaluation is improved. Intervention indexes are calculated in real time, intervention measures are automatically adjusted or reselected according to feedback results, and a quick-response closed-loop system is formed, so that the time from problem discovery to effective intervention is shortened, and the intervention conversion rate is increased.

A medical system useful in the determination of future disease progression in a subject. More specifically the present invention applies machine learning techniques to aid prediction of disease pathology and clinical outcomes in subjects presenting with symptoms of cognitive decline and to expedite clinical development of novel therapeutics.

The present disclosure relates to child restraint systems and components of child restraint systems, for example child seats like a toddler seat and an infant seat, support bases of child seats, in particular support bases that are fixable on a vehicle seat and which bases may be an integral part of a child seat or which may be configured such that a child seat is releasably couplable to them.

The present invention relates to a p75NTR neurotrophin binding protein, p75NTR (NBP), for use in the treatment of pain and / or a symptom of pain.

Aspects of the disclosure relate to methods and compositions for diagnosing and / or treating subjects having one or more symptoms of Autism Spectrum Disorder (ASD) or subjects at risk of developing ASD. In some embodiments, methods comprise determining and / or modulating levels of chorismate and / or a molecule within a chorismate metabolic pathway in a subject. In some embodiments, methods comprise determining and / or modulating levels of a microbial feature (e.g., a Sarcina bacterium) in a subject. In some embodiments, methods comprise determining and / or modulating levels of proton flux in a gastrointestinal tract in a subject.

The invention relates to the technical field of infantile autism intervention training, and discloses an active intervention training method and system for infantile autism children, and the method comprises the following steps: employing a visual music intervention method to guide the attention of the infantile autism children; guiding the autistic child to review the content of the previous intervention training; guiding the autistic children to learn and consolidate social gestures; and guiding the autistic children to learn and consolidate emotional expression. The robot has multiple intervention training means, the requirement for different children with the autism is met, in the intervention training process, the robot can autonomously interact with the children with the autism, and the emotion of the children with the autism is fully aroused.

The present invention relates to methods using trained classifier for assessing potency of a compound to revert the phenotype of a myotube exhibiting features of a neuromuscular disorder of interest into a healthy phenotype, for predicting the ability of a compound to treat a neuromuscular disorder of interest, for monitoring the response to a therapeutic compound of a patient affected with a neuromuscular disorder of interest, for selecting a patient affected with a neuromuscular disorder of interest for a treatment with a therapeutic compound or for determining whether a patient affected with a neuromuscular disorder of interest is susceptible to benefit from a treatment with a therapeutic compound, or for diagnosing a neuromuscular disorder of interest.

The present disclosure relates to the use of an anti-IL6 receptor antibody for treating unacceptable pain in subjects with rheumatoid arthritis. Subjects with unacceptable pain can have, e.g., refractory pain or strict refractory pain.

The invention relates to the technical field of health data analysis, in particular to a traditional Chinese medicine children physique and pathology analysis system which comprises an electroencephalogram signal sensing module, a phase deviation feature extraction module, a wave band energy delay analysis module, a physique type judgment module and a pathology risk prediction module. According to the method, frequency domain analysis and phase offset calculation are carried out on electroencephalogram signals, accurate quantification of sleep state sign characteristics is achieved, the sequential relation between the phase change trend and wave band energy is captured, a dynamic characteristic combination capable of reflecting the rhythm transfer rule is constructed, the separability of physique differences is enhanced in a nonlinear mapping mode, and the accuracy of the physique differences is improved. A classification process is kept stable in a high-dimensional space, and a multi-factor prediction system is formed by combining indexes such as energy delay and phase anomaly, so that health state assessment has continuity and sensitivity, risk change can be identified in an early stage, and refined judgment of children's pathological tendency and improvement of result robustness are realized.

The invention discloses a premature infant action intention recognition method. The method comprises the following steps: S1, data acquisition; s2, data preprocessing; s3, extracting data features; s4, performing feature time sequence processing; and S5, judging the action intention. The premature infant action intention recognition method has the beneficial effects that the distinction degree of the action intention is improved, the recognition accuracy is improved, the influence of the development level is eliminated, personalized recognition is realized, individual differences of infants are adapted, the requirements of tender skins and free activities of the infants are met, a therapist can be effectively guided to adjust a training scheme in time, and the training efficiency is improved. And parents can be effectively assisted in judging whether training actions reach the standard or not.

The invention is a method for treating levodopa naïve patients with Parkinson's disease by orally administering a controlled release levodopa formulation twice a day to the levodopa naïve patient and the method provides an improvement of a patient's motor state as determined by patient's Parkinson's disease diary, provides a reduction of from about 10%-40% in the patient's tremor, dyskinesia, and / or mobility and / or provides a reduction in the patient's Movement Disorders Society version of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) scores by at least 3 points.

The present disclosure relates generally to compounds, their methods of synthesis, and their use in the treatment of mental illness or central nervous system disorders.