140 results about "Screening tool" patented technology

The invention provides an oral disease early screening system and screening method based on an artificial intelligence auxiliary diagnosis system. According to the system, oral images and medical information of a patient are collected through a screening tool, an AI model is trained for auxiliary diagnosis, and intelligent services are provided for doctors in the diagnosis system. Artificial intelligence is introduced into oral medicine, the oral disease diagnosis efficiency and accuracy can be remarkably improved, support is provided for intelligent medical treatment, remote medical treatment and the like, and good application prospects are achieved. The method is suitable for the cross field of oral medicine and artificial intelligence, can be applied to hospitals, physical examination institutions and the like, and realizes early screening and early diagnosis of oral diseases.

The invention discloses a drawing projection talent selection test system and method based on combination of hierarchical quantum evolution and particle swarm optimization. The system comprises a sensing data acquisition module, an intelligent situation identification preprocessing module, a multi-dimensional feature collaborative extraction module, a distributed intelligent quantitative analysis module, a self-adaptive intelligent prediction module and a multi-source data dynamic evaluation module. All the modules work cooperatively, and perceptual acquisition, intelligent preprocessing and depth feature extraction of multi-dimensional drawing projection data are achieved, and efficient quantitative analysis, intelligent prediction and dynamic evaluation are achieved. Through the combination of the hierarchical quantum evolutionary algorithm and the improved particle swarm algorithm, the drawing projection data can be subjected to multi-level and refined analysis, an accurate and automatic talent screening tool is provided, the accuracy and the intelligent level of evaluation are remarkably improved, and the method has a wide application prospect.

The invention provides a risk early warning method and system for stomach cancer postoperative malnutrition, and relates to the technical field of medical treatment, and the method comprises the steps: obtaining gene expression data and clinical indexes of a stomach cancer patient based on a cancer genome map database; gastric cancer methylation data is collected, and a methylation risk scoring model is constructed to determine a methylation risk score; performing quantitative evaluation on the nutritional status of the gastric cancer patient based on a nutritional risk screening tool to obtain a nutritional risk level; determining risk characteristics related to stomach cancer postoperative dystrophy according to the gene expression data, the clinical indexes, the methylation risk score and the nutrition risk grade, and establishing a risk early warning model based on a support vector machine; and acquiring current risk data of the patient side, inputting the current risk data into the risk early warning model, outputting a risk score and a risk level, generating a risk intervention measure according to the risk level, and feeding back the risk intervention measure to the medical care side, so that accurate and comprehensive early warning can be performed on the risk of postoperative malnutrition of the gastric cancer patient, and a timely and effective nutrition intervention scheme is formulated.

A method for performing an asset analysis includes receiving first input data for a plurality of first assets. The method also includes building or training a large language model (LLM) based upon the first input data. The method also includes receiving second input data for a plurality of second assets. The method also includes receiving a request to screen one or more of the second assets. The request is to detect an anomaly and / or to improve a performance of one or more of the second assets. The method also includes selecting one or more screening tools using the LLM based upon the request. The method also includes determining an order to apply the one or more selected screening tools based upon the first input data, the second input data, and the request. The method also includes screening one or more of the second assets using the one or more selected screening tools in the order.

Variable amplitude signals for neurological therapy, and associated systems and methods are disclosed. A representative method includes activating automatic delivery of an electrical therapy signal to a patient's spinal cord region at a frequency in a frequency range between 1.5 kHz and 100 kHz, via at least one signal delivery contact carried by an implanted signal delivery device. The delivery can include repeatedly and automatically delivering the electrical therapy signal at each of multiple therapy signal amplitudes to the at least one signal delivery contact, without the therapy signal generating paresthesia in the patient. The foregoing process can be used as a screening tool to screen responders from non-responders in the context of a non-paresthesia-generating therapy, and / or can be used during long-term treatment, for example, for chronic pain.

Provided is a system and method for security data file sharing, the method including: obtaining passenger data including a passenger name record (PNR) locator linked to a passenger, a passenger name of the passenger, and a unique baggage identifier for a checked-in luggage item of the passenger; retrieving a security screening image (SSI) representative of contents of the checked-in luggage item; converting the SSI and at least a portion of the passenger data into SSI file sharing data for a security screening tool; transmitting the SSI file sharing data to a secure system associated with a border crossing airport to be used by a second security authority to perform a security screening process on the checked-in luggage item; receiving a first screening message associated with a result; and causing the result to be displayed, wherein the result is one of: a first result representative of cleared security screening; or a second result representative of failed security screening, wherein one or more of the passenger or the checked-in luggage item that failed the security screening are flagged for further security inspection.

The invention relates to the technical field of agricultural biology, discloses a soybean shade-tolerant gene GmUGT73C2 as well as a molecular marker and application thereof, and is characterized in that the gene GmUGT73C2 which has a remarkable regulation effect on the plant height and shade tolerance of soybeans is obtained through screening and verification; the plant height of the wild soybean is remarkably reduced and the shade tolerance of the soybean is improved by overexpression of the gene in the soybean plant. A novel gene and a novel method are provided for construction of dwarf and shade-tolerant soybean plants. Meanwhile, an SNP locus corresponding to the gene is found, a corresponding molecular marker is developed, and an efficient screening tool is provided for construction of dwarf and shade-tolerant plants.

The present disclosure provides peptides, chimeric molecular constructs, and compositions thereof, that can bind volatile organic compounds (VOCs) and be utilized to distinguish VOC profiles, e.g., indicative of disease, as well as related methods. A VOC-based gas sensing approach described in the present specification can be an effective screening tool, due, at least in part, to its speed, ease of use, sensitivity, specificity, and because it does not rely on binding to specific nucleic acid fragments or proteins to function.

The utility model relates to the technical field of cement negative pressure screen analysis instruments, and discloses a full-automatic cement negative pressure screen analysis instrument which comprises a machine body, a fixing plate is fixedly connected to the top of the inner wall of the machine body, a first stepping motor is fixedly connected to the center of the bottom of the fixing plate, and the output end of the first stepping motor is fixedly connected with a lead screw. A lifting rod is in threaded connection with the outer ring of the lead screw, a lifting frame is fixedly connected to the top of the lifting rod, a screening tool is arranged on one side of the inner ring of the lifting frame, a screen is arranged at the bottom of the inner wall of the screening tool, and a linear bearing penetrates through and is fixedly connected to the center of the bottom of the fixing plate. The left side of the bottom of the fixing plate is fixedly connected with a second stepping motor. According to the vibrating screen, the bearing frame is driven by the first stepping motor, the lifting frame, the screen tool, the screen cover, the vibrator and the second stepping motor to rotate, materials are weighed, the first stepping motor is started to work, the lead screw is driven to rotate, and the screen tool is driven to move downwards.

The invention discloses a chemical industry park safety assessment method and system combined with a video diagnosis tool, and relates to the technical field of safety management, and the method comprises the steps: determining a plurality of video monitoring regions of a target chemical industry park and corresponding preset abnormal behavior sets; defining risk accompanying features and shielding features based on the abnormal behavior set, and constructing a primary video frame screening tool; performing preliminary screening on the video acquisition results by using a screening tool, and generating a screening frame set carrying a detection behavior identifier; judging whether the processing capacity of the screening frame set exceeds a preset concurrency threshold value or not; if yes, risk real-time analysis is executed according to the detection behavior identification, real-time and delay safety analysis is carried out according to the risk priority, and a regional safety analysis result is output. Therefore, the technical effects of improving the monitoring data processing efficiency and enhancing the security identification accuracy and responsiveness are achieved.

The invention relates to the field of computational biology and bioinformatics, in particular to an RNA (Ribonucleic Acid) sequence screening and promoter function predicting and screening method based on machine learning, which comprises the following steps of: firstly, adopting a novel sequence algorithm based on a sliding window and a position weight matrix, and combining technologies such as k-mer frequency analysis and conservative motif recognition; candidate RNA sequences are efficiently identified from genomic sequences. Then, an integrated prediction model fusing deep learning and traditional machine learning is established, and multi-dimensional information such as sequence features, structural features, functional features and evolution features is extracted; and carrying out batch prediction on the candidate RNA sequences, outputting a function intensity score and providing credibility evaluation. And finally, screening an RNA sequence with an optimal prediction result based on a multi-objective optimization strategy, and designing an experimental verification scheme. According to the method, the prediction accuracy and the screening efficiency are improved, the experiment cost can be remarkably reduced, and an efficient promoter screening tool is provided for the fields of synthetic biology, gene therapy, biological pharmacy and the like.

Methods of analyzing the presence or absence of immune cells capable of binding to an antigen peptide in a sample from one or more individuals are provided. Also provided are methods of detecting or treating cancer or a tumor, a pathogen infection, or an autoimmune disease. A display moiety is provided having particles associated with a plurality of MHC-peptide complexes, where at least two MHC-peptide complexes are different. Also provided are bait compositions having a plurality of display portions and methods of analyzing immune cells by using the display portions or bait compositions as screening tools.

The present application belongs to the technical field of artificial intelligence assisted drug screening, and particularly relates to a method for screening active molecules against carbapenem-resistant enterobacteriaceae based on a LightGBM algorithm, a medium and an apparatus. The method constructs a LightGBM integrated learning framework, fuses ADME rules optimized for the outer membrane barrier characteristics of gram-negative bacteria and multi-target molecule docking verification, effectively solves the problem of data imbalance caused by the scarcity of active samples and the huge compound library, and significantly improves the hit rate of screening. The present application also provides a computer readable storage medium and an electronic device. By storing and executing the above program, the present application can quickly and standardizedly identify anti-CRE candidate molecules from a large number of compounds, greatly reducing the computing power cost and time cycle of new drug research and development. The present application is designed to overcome the bottleneck of gram-negative bacterial outer membrane permeation, and provides an efficient, accurate and intelligent screening tool for combating CRE super-bacterial infections.

This utility model discloses a bolt screening fixture, relating to the field of bolt screening technology. It includes a base plate with a frame fixedly connected to it. An electric cylinder is fixedly installed at the top of the frame. A rotating block is rotatably installed on the inner side of the frame. One end of the rotating block is fixedly connected to a placement seat. A screening mechanism is provided on the upper side of the placement seat. The screening mechanism includes a fixed frame with a first gear rotatably installed inside. A first slide rail is provided on the left side of the first gear, and a second slide rail is provided on the right side. A first rack and a second rack are slidably installed in the first and second slide rails, respectively. A pointer and a judgment mark are provided on the fixed frame. Driven by the electric cylinder, the fixed frame, the first gear, the first rack, and the second rack all move downwards. If there is a height difference between two bolts, the rack on one side will drive the first gear to rotate, and simultaneously drive the pointer to rotate. By observing the position of the pointer on the judgment mark, it is determined whether the bolt to be tested meets the standard.

The invention relates to the technical field of slide block measurement and model selection, in particular to a slide block steel ball rapid screening method, a tool block and a calibration block are prepared, the outer contour of the tool block is completely consistent with the size after a standard track and target value steel balls are combined, and a plurality of secondary gas channels are formed in the tool block; the plurality of secondary gas channels are respectively opposite to the plurality of channels on the calibration block, and the calibration block is a sliding block and is matched with the tool block for use to obtain a judgment reference of a steel ball mounting gap; the calibration block and the to-be-measured sliding block are sequentially installed on the tool block, ventilation is conducted on the multiple secondary gas channels through the pneumatic measuring instrument, the gas supply pressure is measured, the gap h (mesh) between the tool block and the upper channel of the calibration block and the gap h (real) between the to-be-measured sliding block and the upper channel of the calibration block are judged through the gas supply pressure, and therefore the size of the assembled steel ball is obtained. The tool block is designed, a pneumatic gauge is adopted to directly read a pressure signal to calculate the channel spacing, the detection time can be greatly shortened, and on-site rapid application is facilitated.

The invention relates to the technical field of gene editing, and discloses an sgRNA activity prediction method and device based on deep features and automatic machine learning. The method comprises the following steps: acquiring sgRNA training data with editing efficiency labels and discretizing the sgRNA training data into classification labels; after the sgRNA and the PAM sequence are spliced, inputting the spliced sgRNA and PAM sequence into a pre-training depth sequence model to extract high-dimensional features; obtaining a low-dimensional feature vector through nonlinear dimensionality reduction; an automatic machine learning framework is combined with cross validation, and a prediction model is automatically trained and optimized based on low-dimensional features; and finally, carrying out activity prediction and sorting screening on candidate sgRNA by utilizing the model. According to the method, through fusion of deep semantic extraction, nonlinear structure maintenance and a full-automatic modeling process, the accuracy, robustness and development efficiency of sgRNA activity prediction are effectively improved, and an efficient pilot screening tool is provided for a gene editing experiment.

The invention discloses a pregnant and lying-in woman depression screening information system, which relates to the technical field of depression risk screening, and has the technical key points that the system comprises five core modules, namely a pregnant and lying-in woman information management module, a screening recording module, a referral management module, a reception management module and a data statistics and analysis module, and the whole-course management of pregnant and lying-in woman psychological health is realized through multi-dimensional data integration. The system creatively adopts a self-adaptive screening tool matching mechanism in the pregnancy and birth stage, and supports intelligent analysis of screening results and risk early warning. Through a hierarchical authority management system, differentiated function configuration of pregnant and lying-in women, screening personnel, reception doctors and regional managers is realized, and information intercommunication between women and children and mental health institutions is promoted while data safety is guaranteed. The system has the functions of data visual analysis, automatic referral tracking and reception closed-loop management, the screening efficiency and data timeliness are remarkably improved, intelligent support is provided for early discovery and intervention of pregnant and puerperal depression, and the health risk of mothers and infants is effectively reduced.

The present invention discloses the application of tmem187 knockout zebrafish in constructing an animal model of hyperlipidemia. Tmem187 knockout zebrafish can spontaneously develop hyperlipidemia with high stability. The hyperlipidemia animal model constructed based on tmem187 knockout zebrafish has the advantages of stable and rapid screening of new lipid-lowering drugs, and can provide a tool for large-scale drug screening for the treatment of hyperlipidemia.

The invention discloses a marker combination, a kit thereof and application of the marker combination to prediction of diabetic peripheral neuropathy, the marker combination comprises human angiotensin (ANG), human vascular endothelial cell adhesion molecule 1 (VCAM1) and human mannan binding lectin serine peptide 1 (MASP1), TMT quantitative proteomics and PRM targeted proteomics are adopted, and the marker combination is used for detecting diabetic peripheral neuropathy. A technology combination strategy of an ELISA experiment is adopted, and key differential expression proteins such as MASP1, VCAM1 and ANG in serum exosomes of patients with diabetic peripheral neuropathy are systematically screened and verified. By establishing a multi-model machine learning diagnosis system based on logistic regression, a support vector machine and a naive Bayes algorithm, simple and rapid identification of diabetic peripheral neuropathy patients is realized, and a new experimental basis is provided for clarification of a molecular regulation network of diabetic peripheral neuropathy; more importantly, a rapid screening tool with clinical application potential is developed.

The utility model discloses a carbon material processing powder rapid screening tool which comprises an upper shell and a lower shell, the upper shell and the lower shell are detachably arranged, a filter cartridge is rotatably installed in the upper shell, a rotating shaft is arranged on one side of the upper shell, the filter cartridge is detachably connected to one end of the rotating shaft through a flange, and the other end of the rotating shaft is provided with a filter screen. The lower shell is arranged in a manner of wide top and narrow bottom; the butt joint assembly is arranged at one end of the rotating shaft, and the filter cartridge is detachably connected to the butt joint assembly. The screening tool has an integral structure with a wide upper end and a narrow lower end, so that a height difference is formed between the upper end and the lower end, and the design can ensure that dust does not overflow in an operation process, and effectively keeps a workshop clean; and therefore, the advantage that an operator can conveniently rotate the filter cylinder to improve the screening effect is achieved.

The application discloses a lung nodule metabolic marker and a screening method and a construction method and application of a screening model. Specifically disclosed are the application of metabolic markers and / or reagents for detecting the metabolic markers in the preparation of products for lung nodule screening; the metabolic markers include hypoxanthine, L-ornithine, decanoyl-L-carnitine, dehydroepiandrosterone sulfate and bethanidine. The application further discloses a method for constructing a lung nodule screening model. The metabolic markers and the lung nodule screening model constructed by using the metabolic markers can effectively screen out individuals with lung nodules from healthy people, have very high sensitivity and good specificity, are fast, accurate, non-invasive and non-radiation, are suitable for wide promotion, can be used as a pre-screening tool of LDCT, are used for the preliminary screening of lung nodules of a large-scale population, and have important significance for the early discovery of lung cancer and the improvement of the prognosis of patients.

A transverse rectangular front tongue plate is arranged at the front end of the simple and convenient screening tool, vertical edges are arranged on the two sides of the front tongue plate, a groove net-shaped screening net is fixedly connected to the rear edge of the front tongue plate, the rear portion of the screening net is semicircular, the front edge of the screening net is a straight edge, and a frame is arranged on the periphery of the screening net. The periphery of the screening net is embedded in an outer frame with the same shape as the periphery of the screening net, the front straight edge of the outer frame is fixedly connected with the front tongue plate, a transversely-erected long-strip-shaped partition plate is arranged in a connecting seam where the front tongue plate is connected with the outer frame, and the partition plate and the front tongue plate form a dustpan shape; the two sides of the outer frame are each fixedly provided with a handle. The utility model is suitable for transferring and screening granular materials. The vibrating screen has the advantages of being capable of being used by one person, labor-saving, convenient, capable of screening various materials with different particle sizes, simple in structure and low in manufacturing, storage and transportation and using cost.

An apparatus for culturing cells includes a bioreactor with a fluid reservoir and a fixed bed, as well as a portion associated with the fluid reservoir and adapted for preventing cells from settling therein. The bioreactor may include a first vessel including the fluid reservoir and a second vessel with the fixed bed for the cell culture, which may be directly connected to the first vessel by a frangible connection to facilitate disassembly, such as for sampling. A conduit may be provided for connecting the first vessel to the second vessel, so as to establish fluid communication there between. A pump may also be provided for pumping fluid from the first vessel to the second vessel, such as though the conduit if present. Use of the apparatus as a screening tool for a large-scale bioreactor, in a kit, and related methods are also disclosed.

The utility model provides an air resistance consistency screening tool for a flow sensor of a breathing machine, which relates to the technical field of flow detection and comprises a controller, a fan, the flow sensor, a connecting pipeline and an air resistance detection component used for placing an air resistance device, and an air outlet of the fan is connected and communicated with one end of the air resistance detection component through the connecting pipeline. The flow sensor is fixedly connected in the connecting pipeline, and the fan, the flow sensor and the air resistance detection assembly are electrically connected with the controller; according to the air resistance consistency screening tool for the flow sensor of the breathing machine, actual airflow testing can be directly carried out on air resistance devices so as to screen the air resistance devices.

This invention discloses a method for identifying intrahepatic cholangiocarcinoma (ICC) based on serum peptide characteristics and its application. The invention collects serum samples from three groups: individuals with ICC, those with benign liver disease, and healthy controls. Peptide characteristic peaks associated with ICC are screened, and a model is constructed using a logistic regression algorithm. This model demonstrates excellent discriminative ability on both the training and independent test sets, with AUCs reaching 0.986 and 0.963, respectively, significantly outperforming traditional tumor markers CA19-9 and CEA. The peptide characteristic peak combination and the discriminative model constructed based on it can be used for early detection of ICC, differentiation between benign and malignant cases, and screening of high-risk populations. It offers advantages such as rapid detection, standardized procedures, strong early ICC identification capability, and low false positive rate, providing a highly sensitive, specific, and widely applicable non-invasive screening tool for clinical use.

The invention provides a method and device for determining a target group, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the fields of large models, generative models, resource recommendation and the like. The specific implementation scheme is as follows: determining at least one target screening tool in a plurality of candidate screening tools and at least one reference screening rule for the at least one target screening tool by utilizing a large model according to description information of the plurality of candidate screening tools and a historical context comprising demand information; calling at least one target screening tool by utilizing at least one reference screening rule to obtain at least one label expression; according to combinational logic, processing each label in the at least one label expression into a target screening rule; and determining a target group from the plurality of candidate objects according to a target screening rule.

The utility model discloses a crankshaft machining screening tool which comprises a bottom plate, a sliding groove is formed in the left portion of the surface of the bottom plate, a connecting rod is fixedly connected to the inner wall of the sliding groove, a sliding block is arranged outside the connecting rod in a sleeved mode, a connecting plate is fixedly connected to the top of the sliding block, a rotating shaft is arranged on the inner side wall of the connecting plate, and a rotating shaft is arranged on the rotating shaft. A butt joint sleeve is arranged at the end of the rotating shaft, and the number of the connecting plates is two. According to the utility model, the use positions of the connecting plates can be adjusted through horizontal movement of the sliding blocks on the connecting rods, so that the two groups of connecting plates are close to each other or far away from each other, and the detection tool can adjust and assemble according to the length size of a crankshaft to carry out detection and screening steps; and the connecting plate penetrates through the extension plate and is inserted into the positioning hole in the sliding groove, so that the connecting plate is fixed, and the connecting plate is prevented from sliding and moving due to stress after the crankshaft is mounted.

The invention belongs to the technical field of CD early diagnosis, and particularly discloses a red flag index model for CD early diagnosis and application of the red flag index model. The auxiliary CD early diagnosis model comprises an information input module which is used for inputting five items of data, the first item is non-healed or complex perianal fistula or abscess or perianal lesion except haemorrhoids, the second item is weight loss in the past 3 months, the third item is mild fever in the past 3 months, the fourth item is mucus stool or bloody stool, and the fifth item is appetite loss; the data analysis module is used for judging whether the five items of data meet various conditions or not, assigning scores according to a scoring model if the five items of data meet various conditions, and summarizing a red flag index; and the information comparison module is used for judging the high risk of the CD disease if the red flag index is greater than or equal to the critical value. According to the method, the vacancy of related research of the domestic red flag index is filled, the original red flag index is improved according to CD characteristics of the middle China region, and a CD early diagnosis screening tool more suitable for domestic disease characteristics is established.

The invention relates to a model, a device and equipment for assisting in screening Alzheimer's disease, and a storage medium. Input variables of the model comprise a P-tau181 concentration value and an A beta 42 concentration value of an organism, and output variables of the model comprise a ratio of the P-tau181 concentration value to the A beta 42 concentration value. On the basis of a flow fluorescence detection technology, the relevance between the ratio of the P-tau181 concentration value to the Abeta42 concentration value and the neurodegenerative diseases is deeply analyzed, a reference interval is designed, an efficient screening tool is further developed, and high-specificity, high-sensitivity and high-accuracy auxiliary screening of the neurodegenerative diseases such as the Alzheimer's disease is achieved.

Provided is a system and method for de-personalized security data file sharing using passenger list information messages, the method including: obtaining from an electronic passenger list information message, passenger data for passengers, the passenger data including a unique passenger identifier (UPID) assigned by a Departure Control System (DCS) of an originating airline for each of the plurality of passengers; and, for each of the passengers: depersonalizing the passenger data; retrieving a security screening image (SSI) representative of contents of the luggage item; converting the SSI and the UPID into SSI file sharing data for a security screening tool; transmitting the SSI file sharing data to a secure system associated with a border crossing airport to be used in a security screening process on the checked-in luggage item using the security screening tool; receiving a first screening message with a result of the screening process; and causing the result to be displayed, wherein the result includes one of: a first result representative of cleared security screening; or a second result representative of failed security screening, wherein one or more of the passenger or the checked-in luggage item that failed the security screening are flagged for further security inspection.