22 results about "Double blind" patented technology

The invention discloses an intelligent typing method and system for M protein in an immunofixation electrophoresis image, and belongs to the technical field of immunofixation electrophoresis image analysis. According to the intelligent typing method and system for M protein in the immunofixation electrophoresis image, an expert knowledge-driven labeling specification of a double-blind labeling process and a labeling verification algorithm embedded into electrophoresis mobility physical constraint is established; according to the method, the image is subjected to standardization processing through the Vahadane dyeing normalization and strip ROI dynamic extraction technology, intelligent noise suppression processing is carried out on image data, the data quality is improved, standardized interpretation can be carried out on the electrophoresis image through a hybrid neural network deep learning algorithm and an AI model, the influence of human factors is reduced, and the method is suitable for being applied to the field of electrophoresis. And the model can reproduce the specificity and accuracy of the expert level. The problems that traditional naked eye interpretation is high in subjectivity, low in accuracy rate, low in efficiency of searching for expert consultation for complex and difficult cases and the like are solved.

The invention belongs to the technical field of medical information, and particularly relates to a newly diagnosed HIV infected person antiviral treatment intelligent decision support system which comprises a multi-source data integration module, a medicine knowledge module, an individualized decision support module, an interactive output module, a knowledge optimization module and a safety and privacy protection module. The system replaces doctors to query and integrate patient data across multiple systems, clinical time is saved, key information omission is avoided, comprehensive data support is provided for treatment decisions, experience decisions are converted into systematic analysis and graded risk prompts are generated by means of an individualized decision support module, scheme deviation is effectively reduced, the medication risk is reduced, and the treatment efficiency is improved. The method assists the basic level in improving the treatment normalization, allows doctors to input new experience and new achievements summarized in practice into the system after double-blind auditing, and provides continuously iterative knowledge support for the scientificity of the antiviral treatment decision of the newly diagnosed HIV infected person.

1. Name of the product in this design: Ear clip for auricular acupuncture therapy. 2. Purpose of this design: For use in electrical stimulation ear clips, applied in double-blind and triple-blind clinical trial testing. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses an optometry method for high-precision multi-type combination, which is characterized by comprising the following steps: S1, acquiring an objective refraction parameter set through an automatic optometry unit; s2, implementing interactive subjective optometry based on a virtual reality interface, and generating a subjective correction parameter set; s3, acquiring high-order aberration data by adopting a wavefront aberrometer; s4, performing a refractive adaptability test in a dynamic visual scene to obtain a dynamic compensation parameter; s5, generating an initial optometry scheme through a multi-modal data fusion algorithm; s6, optimizing a lens parameter combination based on a genetic algorithm; s7, implementing a double-blind verification test and obtaining a visual quality score; and S8, iteratively optimizing the final prescription according to the verification result. The problem of subjective or objective data splitting in traditional optometry is solved through a multi-modal fusion algorithm, accurate adaptation of a dynamic visual scene is achieved through eye movement tracking and virtual reality verification, and safety and efficiency of ophthalmic optical optometry are guaranteed.

The invention belongs to the technical field of biological detection, and particularly discloses a pair of echinococcosis detection markers based on serum circulating miRNA and application of the echinococcosis detection markers, the detection markers are a combination of miR-192-5p and miR-122-5p, the abundance of the miR-192-5p and the miR-122-5p in the serum of an echinococcosis patient is remarkably reduced, the miR-192-5p and the miR-122-5p are in negative correlation with echinococcosis infection, and the threshold values are 0.35 and 0.04 respectively. During detection, the relative expression level (taking caenorhabditis elegans miR-39-3p as an external reference) of caenorhabditis elegans miR-39-3p in serum is determined through qPCR, and the positive and negative properties are judged according to a threshold value; the area under the ROC curve of the marker combination reaches 0.97, and a double-blind test shows that the positive rate and the negative rate of human and mouse serum detection are 100%. The method solves the problems of missed diagnosis and misdiagnosis in existing echinococcosis detection, can be used for preparing a detection kit, realizes accurate detection, curative effect evaluation and prognosis management of echinococcosis, and has extremely high clinical application value.

The application discloses a kind of optometry methods for high-precision multi-type combination, it is characterized in that, including the following steps: S1, by automatic optometry instrument obtains objective refraction parameter set;S2, based on virtual reality interface implements interactive subjective optometry, generates subjective correction parameter set;S3, using wavefront aberration instrument collection high-order aberration data;S4, carries out refraction adaptability test under dynamic visual scene, obtains dynamic compensation parameter;S5, by multimodal data fusion algorithm generates initial optometry scheme;S6, based on genetic algorithm optimization lens parameter combination;S7, implements double-blind verification test and obtains visual quality score;S8, according to verification result iteration optimization final prescription.It is solved that traditional optometry is in the problem of subjective or objective data split, dynamic visual scene is accurately adapted using eye movement tracking and virtual reality verification, and the safety and efficiency of ophthalmic optical optometry are guaranteed.

The embodiment of the invention provides a blind state maintaining system in a nerve regulation random double-blind test, and relates to the field of intelligent medical treatment. The system comprises an information acquisition module used for acquiring grouping information of a plurality of detection objects including stimulation groups and pseudo stimulation groups; the execution receiving module is used for receiving an execution operation for the target detection object by using the experimental equipment; the first pre-stimulation module and the second pre-stimulation module are used for responding to the execution operation and controlling the execution mechanism to execute a first action and a second action on the target detection object based on the execution operation no matter whether the target detection object is the stimulation group or the pseudo-stimulation group; the test stimulation module is used for controlling an execution mechanism to execute an action for maintaining rated stimulation intensity on the target detection object based on execution operation when the target detection object is the stimulation group; and when the target detection object is the pseudo stimulation group, controlling the execution mechanism to execute an action with the stimulation intensity of 0 on the target detection object based on the execution operation.

The embodiment of the specification provides a system for blind state maintenance in neuromodulation randomized double-blind test, and relates to the field of intelligent medical treatment. The system comprises: an information acquisition module configured to acquire grouping information of a plurality of detection objects including a stimulation group and a pseudo-stimulation group; an execution receiving module configured to receive an execution operation for a target detection object by using an experimental device; a first pre-stimulation module and a second pre-stimulation module configured to, in response to the execution operation, control an execution mechanism to execute a first action and a second action on the target detection object based on the execution operation regardless of whether the target detection object is the stimulation group or the pseudo-stimulation group; and a test stimulation module configured to, when the target detection object is the stimulation group, control the execution mechanism to execute an action of maintaining a rated stimulation intensity on the target detection object based on the execution operation, and when the target detection object is the pseudo-stimulation group, control the execution mechanism to execute an action of 0 stimulation intensity on the target detection object based on the execution operation.

An augmented reality system for providing depth perspective includes a sensor system that provides spatial data of objects in a surrounding environment of a user. A computer processor system calculates spatial information of the objects from the spatial data received the sensor system. The computer processor system determines a depth-to-color mapping in which distance of objects from the user is mapped to a predetermined viewable representation. The system also includes a head mountable display that displays the depth-to-color mapping to the user. Characteristically, distances of the objects from the user are rendered to allow at least partial viewability of the object by the user. A method utilizing the augmented reality system is also provided.

The utility model relates to the technical field of acupuncture clinical tests, in particular to a double-blind test acupuncture device which comprises a needle, a sleeve and a patch, an installation hole channel is formed in the sleeve, the patch is connected with the sleeve, the needle is arranged in the installation hole channel in a sleeved mode, and the installation hole channel is connected with the patch. The needling instrument comprises a first needling instrument with a pointed needle tip and a second needling instrument with a blunt needle tip; the sleeve comprises a first sleeve and a second sleeve; the mounting hole channel of the first sleeve is perpendicular to the bottom surface of the sleeve; the mounting hole channel of the second sleeve is inclined to the bottom surface of the sleeve. The double-blind test acupuncture device breaks through the limitation of an existing double-blind test acupuncture device on the acupuncture angle, meets the requirements of flat acupuncture, inclined acupuncture and straight acupuncture in clinical acupuncture, and further simplifies the structure of the device so as to reduce the production cost and the operation difficulty.

The application discloses a glioblastoma peritumoral tumor infiltration segmentation model, which comprises clinical case collection, image information collection, pathological information collection, image data preprocessing, image feature learning based on CPC for self-learning of a Gb peritumoral edema region, migration learning by using a 3DUX-Net segmentation model, construction of a peritumoral infiltration segmentation model, and segmentation model verification. The application learns the artificial ROI segmentation features, establishes the peritumoral infiltration segmentation model, verifies the effectiveness of the model through double-blind testing, and accurately segments the peritumoral tumor infiltration through the peritumoral infiltration segmentation model, thereby providing an important reference for clinical multidisciplinary diagnosis and treatment.

The invention provides a subject data processing method and system and electronic equipment, belongs to the technical field of big data, and solves the problem that the analysis of physical examination data is not accurate enough in the prior art. The method comprises the following steps: performing double-blind random grouping on subjects, and storing the group to which each subject belongs; acquiring first physical examination data of the subject; acquiring sample use data of the subjects, dividing the subjects into a plurality of compliance levels based on the sample use data, and determining a weight value corresponding to each compliance level; acquiring second physical examination data of the subject; comparing the first-time physical examination data and the second-time physical examination data of the subject of each compliance level to obtain a physical examination data difference value under different compliance levels; weighting the physical examination data difference values under different compliance levels by corresponding weight values to obtain compliance difference values; and obtaining sample effect data according to the compliance difference values of different groups.

The invention provides an anonymous online chat management interaction method and system, and relates to the technical field of computer network communication and information security, and the method comprises the steps: a user uploads a user attribute through a client, a server carries out the virtual portrait processing of the user attribute, and carries out the matching based on a virtual user portrait. And establishing a double-blind session channel based on a matching result, and identifying and judging a message sent by the user. According to the method, the performance of the anonymous chat system is remarkably improved through quadruple innovation: a virtual portrait noise injection mechanism is created for the first time, and the de-anonymization risk is reduced while the age / gender screening capability is kept; based on semantic matching of improved BERT, the accuracy is improved, and the efficiency is improved; the client deploys a lightweight multi-task model to realize sensitive content interception without privacy leakage; the dynamic permission matrix supports minute-level permission adjustment, the high-risk response time is compressed to the second level, and collaborative optimization of matching accuracy, management flexibility and communication efficiency is achieved on the premise that privacy is guaranteed.

The application discloses an intelligent aspiration monitoring method and system, and relates to the field of medical monitoring. In view of the problems of traditional aspiration monitoring, such as dependence on professional operation and single signal source, the method synchronously collects body surface biological signals, pharyngeal cavity dynamic laryngoscope videos and structured clinical data, and constructs a data set through preprocessing, double-blind labeling and integration. A semi-supervised deep learning algorithm is used to fuse multi-source features, an aspiration recognition model is constructed based on a transformer architecture, real-time recognition and sound-light early warning are realized. The system corresponds to data acquisition, processing and integration, model construction, training and prediction units. The application improves the aspiration recognition accuracy and generalization ability, can capture implicit aspiration, supports long-term dynamic monitoring, reduces medical costs and gains time for clinical intervention.

The invention relates to the technical field of private data security sharing, and discloses a cross-platform rights and interests joint data security sharing method, which comprises the following steps: generating a timestamp based on a data fragment corresponding to a user rights and interests related data fragment, and carrying out time attenuation and private sketch mapping processing; performing two rounds of independent blinding processing on the low-dimensional private sketch by using the platform side blinding factor and the collaborative side blinding factor; performing consistency aggregation processing on the double blind sketches from the same user main body by using a verifiable threshold aggregation protocol; and generating a main body identity verification token of the consistency aggregation result by adopting a service identity generation algorithm, and carrying out cross-platform data security sharing. According to the method, on the premise of not exposing original rights and interests data, time perception modeling, privacy protection mapping and consistency judgment are carried out on the rights and interests of the cross-platform user main body, a verifiable main body identity verification token is generated, and cross-platform rights and interests updating and data security sharing are achieved.

An acupuncture set for double-blind tests includes a support member whose one surface is in contact with skin of a subject and in which a through hole is formed in a vertical direction, a filling member coupled in a through hole of the support member and provided in a pipe shape with one side shielded, a hollow guide member, wherein a portion of a lower part of the hollow guide member is combined to a through hole of the support member and first guide protrusions protrude from an inside of the hollow guide member, and a moving member configured to move in a vertical direction within the guide member in a state of being combined with a needle body.

Technical fields: - Information technology; - Security The present invention relates to a method for authenticating users in digital systems, using two passwords one after the other, without providing confirmation or denial feedback in the user interface. The only feedback is the granting of access after both passwords have been entered correctly in contiguous sequence. The main differences of this method compared to other two-factor authentication methods are: a. it does not actually use two factors, but only one factor in duplicate. b. it does not depend on another device or system, reducing the opportunities for an attacker to find security weaknesses. c. it can be used in systems with or without internet access. d. it can be used in both physical and digital systems. e. it exponentially decreases the chances of password breaking by guessing or using the brute-force method.

The application discloses a kind of evidence-based medicine system review multi-agent automation system and method.The system includes workflow engine module, methodology rule base module, multi-agent cooperation module, deterministic operation module and methodology discipline constraint module.Workflow engine is adaptively assembled workflow template according to the identified methodology type, uniformly dispatches eight stages of research problem construction to report generation, realizes whole-process closed loop.Multi-agent cooperation module includes arbitration agent and first, second agent, undertakes semantic understanding type task and realizes double entry and unified arbitration;Deterministic operation module undertakes mathematical operation type task, and is separated from semantic understanding module architecture.Methodology discipline constraint module compulsorily executes evidence-based medicine standard such as inclusion and exclusion lock, double-blind double entry.The application decouples semantic understanding and mathematical operation, to system architecture compulsorily implement methodology discipline, solve the problem that existing system review automation degree is low, result is not credible.

Provision of arimochromol for treating Gaucher disease. [Solution] The present invention relates to a pharmaceutical active ingredient selected from N-[2-hydroxy-3-(1-piperidinyl)-propoxy]-pyridine-1-oxide-3-carboxyimidoyl chloride, its stereoisomers, and its acid addition salts, and more particularly to alimochromol for use in methods of treating Gaucher disease (GD). This specification describes the results of a double-blind, randomized, placebo-controlled, phase 2 dose-finding study in patients with Gaucher disease (GD) types 1 and 3 who were not receiving enzyme and / or substrate replacement therapy.

The invention provides a drug random double-blind experiment system and method based on a virtual human body cluster, and is characterized in that a silicon-based subject cluster is used for replacing a traditional clinical test object, a virtual experiment normal form based on multi-scale physiological modeling and AI dynamic response is constructed, and a research and development process from drug discovery to clinical transformation is remodeled. According to the system core, a virtual subject generation module, a double-blind control module, a drug effect response prediction module and a verification interface form a closed loop. The method mainly comprises the steps of generating a virtual subject cluster, performing double-blind distribution of virtual drugs and placebo, running physiological simulation for 72 hours, performing AI analysis on a drug effect response matrix, performing statistics on significant differences after blind uncovering, and outputting a dose-effect curve.

The invention provides a traditional Chinese medicine compound composition for treating eye diseases as well as a preparation method and application thereof. According to the composition, based on the traditional Chinese medicine theory of simultaneous treatment of liver and kidney and consideration of both symptoms and root causes, a formula system with three beans as a base, three herbs as a pivot and three joints as a pivot is innovatively established, and through strict compatibility of monarch, minister, assistant and guide, monarch drugs comprise mung bean coat, black bean coat and hyacinth bean coat; ministerial drugs: flos eriocauli, semen cuscutae and inula flower; the adjuvant drugs comprise cortex phellodendri, tangerine pith and fructus quisqualis; the conductant drugs comprise borneol and radix aucklandiae, so that multi-target collaborative treatment is realized. A multi-center random double-blind control test proves that the composition has a remarkable curative effect on eye diseases such as xerophthalmia, early cataract and asthenopia, the total effective rate reaches 89.7%, and no obvious adverse reaction is found.

This invention provides a double-blind identity authentication method and terminal. During registration, a first facial feature vector uniquely identifying the user is extracted from the user's facial image information. This first facial feature vector is then encrypted using a preset encryption algorithm to obtain a first encrypted feature vector. An anonymous identity identifier, corresponding one-to-one with the first facial feature vector, is created, and the first encrypted feature vector and the anonymous identity identifier are bound and stored. During identity authentication, the user's current second facial feature vector is obtained and encrypted using a preset encryption algorithm to obtain a second encrypted feature vector to be verified. The second encrypted feature vector to be verified is matched with the stored first encrypted feature vector. If a match is successful, it indicates that the user's current second facial feature vector corresponds to one of all stored anonymous identity identifiers, and the identity authentication is successful. This invention provides a secure and reliable identity verification function, eliminating the risks of identity forgery and privacy leakage.