55results about How to "High clinical application value" patented technology

The invention relates to the technical field of medical auxiliary instruments, and provides a tumor radiotherapy protection device which comprises a multi-shaft mechanical arm and a rotating frame, a carrying arm is installed at the execution end of the multi-shaft mechanical arm, the rotating frame is rotationally connected to the carrying arm, a hollow rotating shaft is rotationally installed on the rotating frame, a motor is installed on the carrying arm, and the hollow rotating shaft and the rotating frame are both driven by the motor. The radial variable-pressure frame is connected to the rotary frame in a sliding mode, a radial variable-pressure mechanism for driving the radial variable-pressure frame to circularly vibrate in a variable-amplitude mode is arranged on the rotary frame, a massage pressing frame is connected to the radial variable-pressure frame in a sliding mode, a torque driven shaft and a pressing shaft are rotationally connected to the massage pressing frame, a radial transmission gap is formed between the hollow rotary shaft and the torque driven shaft, and the hollow rotary shaft and the torque driven shaft are in transmission connection; a torsion spring is installed between the torque driven shaft and the pressing shaft. According to the invention, the limitation that the existing radiotherapy protection device only has a single ray shielding function is broken through, and the integration of protection, nursing and adjuvant therapy functions is realized.

The invention relates to the technical field of knowledge management, in particular to a cardiovascular special nursing knowledge management and intelligent auxiliary method and system. The method comprises the following steps: acquiring and storing cardiovascular specialized nursing original knowledge data, executing text analysis and semantic processing, and generating a structured cardiovascular specialized nursing knowledge entry set; performing parameter analysis and weighted matching in combination with nursing demand information or patient characteristic parameters, and screening target nursing knowledge entries; and completing content combination and slot filling based on a preset nursing template, generating individualized cardiovascular specialized nursing guidance information, recording a nursing knowledge calling process and a generation result, and forming nursing behavior record data. According to the method, the accuracy and the individuation degree of calling the cardiovascular special nursing knowledge and the scientificity, the normalization and the intelligent level of nursing decision are improved.

The invention discloses a primer and a kit for rapidly detecting yersinia rouxii through RPA-CRISPR / Cas12a and application of the primer and the kit, and relates to the technical field of disease prevention and control in aquaculture. The invention aims to solve the problems that the existing detection method is time-consuming and labor-consuming, is easy to cause pollution and needs to be matched with professional detection equipment. According to the present invention, the RPA amplification primer is composed of a forward primer yrp1-RPA-F2 and a reverse primer yrp1-RPA-R2, the crRNA is yrp1-crRNA-R1, and the kit for rapid detection of yersinia rouxii contains the RPA amplification primer and the crRNA. The method for rapidly detecting yersinia rouxii comprises a fluorescence method and a test paper method. The method disclosed by the invention has the advantages of good inclusiveness, strong specificity, high sensitivity and the like, detection is carried out based on the RPA primer and the crRNA, and the obtained RPA product is detected by using a lateral flow chromatography test strip and fluorescence, so that the purpose of portable visual rapid detection on site or in a breeding base is achieved, and the method is suitable for large-scale popularization and application. The method has very high clinical application value in the aspects of early discovery of diseases, epidemiological investigation and comprehensive prevention and control.

This utility model discloses a multi-angle gingival scalpel, relating to the field of scalpel technology. It includes a handle, a base, a blade, and an angle adjustment mechanism. One end of the handle is connected to the base via the angle adjustment mechanism, and the blade is detachably mounted on the base. The angle adjustment mechanism includes a knob, a limiting block, a limiting plate, a ball, an elastic element, and a connecting rod. The angle adjustment mechanism allows for flexible adjustment of the base angle, which in turn adjusts the blade angle. This enables the surgeon to precisely position and operate the blade according to the patient's oral condition, ensuring that cutting and trimming operations are accurately applied to the target gingival tissue. This improves surgical precision and reduces surgical errors caused by operational deviations.

This invention relates to a T-cell receptor capable of binding to the HPV16 E6 antigen presented by the HLA-C*14:02 molecule. The T-cell receptor comprises: αCDR1 (amino acid sequence as shown in SEQ ID NO:1), αCDR2 (amino acid sequence as shown in SEQ ID NO:3), αCDR3 (amino acid sequence as shown in SEQ ID NO:5), βCDR1 (amino acid sequence as shown in SEQ ID NO:11), βCDR2 (amino acid sequence as shown in SEQ ID NO:13), and βCDR3 (amino acid sequence as shown in SEQ ID NO:15). This invention provides a novel and precise immunotherapy strategy for patients with HLA-C*14:02 genotype HPV-related cervical cancer, significantly expanding the applicable population for TCR-T therapy.

The application provides application of glutaroyl-CoA dehydrogenase in inducing ferroptosis of liver cancer cells, and belongs to the technical field of biotechnology.The application provides application of glutaroyl-CoA dehydrogenase (GCDH) in preparing products for evaluating risk of liver cancer and evaluating prognosis risk of liver cancer, and the tumor stage and T grade can be estimated by detecting the expression amount of GCDH, and the survival effect of liver cancer patients is evaluated.The application provides application of the overexpression reagent of GCDH in preparing products for inhibiting proliferation of liver cancer cells and inducing ferroptosis of liver cancer cells, and the ferroptosis of liver cancer cells is promoted by overexpressing GCDH in cells, and the colony formation ability of liver cancer cells is reduced.Further, the application provides application of the overexpression reagent of GCDH combined with a CA9 inhibitor in preparing products for inhibiting proliferation of liver cancer cells.

The present application relates to the technical field of image processing, and more particularly to a pancreatic cancer and breast cancer early image diagnosis method based on multi-modal contrast learning, step 1: obtaining multiple time-phase multi-modal images of the pancreas and breast of a subject in a unified spatial reference system to form a basic data set; step 2: based on the basic data set, alternately encoding the lesion candidate area mask and the peripheral ring domain mask to obtain an encoded feature vector; step 3: aligning the organ identification as the key according to the time-phase block index, and filling in the encoded feature vector of the missing time-phase block according to the set rule; jointly determining the intra-organ results of the two organs according to the set priority, and outputting the overall result. The present application can improve the sensitivity and specificity of early lesion detection, and enhance the diagnostic robustness and clinical application value while maintaining interpretability and traceability.

The application discloses a full-automatic hemorheology analyzer and an analysis method thereof, and belongs to the field of intelligent medical treatment. The pressure-time change curve collected in real time by the full-automatic hemorheology analyzer during blood flow is acquired, and corresponding flow velocity data is calculated; the whole blood viscosity, the plasma viscosity and the blood sedimentation basic index are calculated based on the pressure-flow velocity data, and a plurality of derivative indexes are generated through a preset conversion model; the plurality of derivative indexes are compared with a preset clinical reference range, the cause of blood viscosity abnormality is judged in combination with a multi-index combination logic, an auxiliary diagnosis conclusion for a target chronic disease and a physiological and pathological change distinguishing prompt are output; and a blood circulation improvement recipe scheme, a meridian metabolism regulation scheme and a full-nutrition guidance scheme are automatically generated according to the hemorheology detection result and the auxiliary diagnosis conclusion, and a comprehensive report sheet is integrated and output; and the problems of mechanical wear, low integration, weak index decoupling capability and lack of closed-loop management of a traditional hemorheology analyzer are solved.

The invention relates to the technical field of molecular biology and precision medical treatment, and relates to a molecular marker for predicting FOLFOX chemosensitivity and application thereof. A patient-derived colorectal cancer organoid biological sample library is constructed, the heterogeneity of in-vitro drug reaction is analyzed and evaluated through transcriptome, clinical groups sensitive to FOLFOX chemotherapy can be accurately recognized, a molecular marker prediction system containing 11 genes is obtained through further screening, and the molecular marker prediction system is used for predicting the FOLFOX chemotherapy. The method effectively overcomes the technical defect of lack of accurate prediction of colorectal cancer chemosensitivity at present, and has important value in the aspects of revealing disease mechanisms and guiding personalized treatment.

The application discloses a kind of sepsis multiple complications prediction method, system, storage medium and equipment, belong to intelligent medical technical field, method includes the following steps: S1. acquisition sepsis patient multidimensional time series physiological data;S2. medical perception feature vector is constructed to the time series physiological data;S3. sepsis multiple complications prediction model is constructed and introduced physiological logic space-time composite mask matrix;S4. the output multiple complications prediction probability using hierarchical expert hybrid network H-MoE;S5. the model is trained using dynamic weighted loss function based on task uncertainty;S6. risk output and feature contribution degree explanation;The model of the application is introduced by physiological logic mask and H-MoE architecture, realizes the accurate, synchronous prediction of sepsis complex complications, can effectively filter redundant features, and reveal the complex correlation therebetween, provide quantitative decision support for clinician, to realize early intervention and individualized treatment.

The application provides a method for improving the sensitivity of liquid chromatography-mass spectrometry in detecting vitamin K1 in serum, which comprises the following steps: preparing a sample solution of vitamin K1 to be detected by using a liquid-liquid extraction method to obtain an initial sample solution; and redissolving the initial sample solution by using an aqueous solution containing at least isopropanol as a redissolving agent to obtain a sample solution to be detected; and adding ammonium fluoride after an LC-MS column to improve the mass spectrometry detection sensitivity of the vitamin K1 sample. By using the technical scheme of the application, isopropanol or isopropanol+methanol is used as a redissolving agent to replace methanol in the prior art as a redissolving agent, the mass spectrometry detection sensitivity of VK1 is improved, the recovery rate is improved, the detection method has good stability, and the clinical detection requirements can be met; meanwhile, the ammonium fluoride in the liquid chromatography can be completely replaced, the system pressure of the liquid chromatograph is reduced, and the service life of the chromatographic column is prolonged.

A deep learning-based method for monitoring anesthesia depth based on high time-frequency resolution bispectral density includes the following steps: acquiring single-channel EEG data, preprocessing it, and dividing it into time segments; extracting features from the EEG data, and calculating a high time-frequency resolution wavelet bispectral matrix by combining variational mode decomposition and synchronous squeeze wavelet transform; constructing and training a deep neural network classification model based on partially convolutional neural networks and gated recurrent units; for test data, inputting the extracted features into the model, and selecting the state with the highest output probability (awake, anesthesia maintenance, or awakening) as the final prediction result for the test data; this invention uses single-channel EEG signals as input, greatly reducing the difficulty of acquiring clinical signals, and the proposed high time-frequency resolution bispectral features combined with a dedicated deep learning network have a strong ability to capture complex nonlinear EEG dynamic features and cross-subject generalization adaptability; therefore, this invention can perform high-precision, multi-classification, and real-time automatic monitoring of anesthesia depth.

The invention discloses a biomarker detection kit and a detection method for prognosis evaluation of multiple myeloma, and relates to the technical field of biological medicine detection.According to the kit, circMYC and circSETD2 bicyclic RNA combination in serum exosomes serves as a core prognosis marker, and the kit contains an exosome solid phase capture reagent, sulfydryl modified silicon dioxide magnetic beads and the like; the isothermal amplification detection reagent contains a specific SDA primer pair and the like; a double quality control reagent containing a CD63 peptide fragment marker and the like; positive control and negative control are provided; the serum exosome bicyclic RNA is selected as a core prognostic marker, a complete detection system is constructed, an exclusive reagent efficiently enriches and purifies the exosome, the detection specificity and accuracy are improved, a reliable basis is provided for prognostic layering, integrated operation is achieved, the process is simplified, clinical application is achieved, quantitative analysis is matched with a clear interpretation standard, and the detection efficiency is improved. The reagent is stable and convenient, the result is comparable, and the clinical application value is improved.

This invention discloses an endoscopic electronic staining method based on spectral unmixing. It separates the intrinsic tissue spectrum from background noise under LED white light using an improved spectral unmixing algorithm; constructs a multi-scale feature enhancement module to simultaneously enhance mucosal texture and vascular structure; designs a dynamic staining mapping function to achieve adaptive matching between staining parameters and tissue type; and finally, ensures the reliability of the staining effect through dual-index verification. This invention solves core problems such as tissue spectral overlap, low staining contrast, and poor adaptability under ordinary LED white light and CMOS imaging conditions. The method of this invention leverages algorithm optimization to unlock the potential of the imaging system, achieving software-defined staining effects.

The application belongs to the technical field of medicine, and particularly relates to a traditional Chinese medicine composition for treating bronchiectasis. The traditional Chinese medicine composition is composed of the following traditional Chinese medicines: rhizoma phragmitis, raw semyen of job's tears, winter melon seed, persicae semen, platycodon grandiflorum, semen balsamni, dioscorea, prepared rhizome of rehmannia, radix codonopsis, pinellia ternata, poria cocos and pericarpium citri reticulatae. The traditional Chinese medicine composition is combined together, and through scientific compounding, each medicine plays a synergistic effect, realizes a significant treatment effect on bronchiectasis, has a high clinical application value, and has a wide application prospect.

The present application relates to a llama-derived nanobody targeting monkeypox virus E8 protein, a detection reagent comprising the same and application thereof. It comprises a heavy chain variable region, which comprises a complementarity determining region CDR1 with an amino acid sequence as shown in SEQ ID NO: 1, a complementarity determining region CDR2 with an amino acid sequence as shown in SEQ ID NO: 2, and three complementarity determining regions CDR3 with an amino acid sequence as shown in SEQ ID NO: 3. The E8-17-mFc nanobody of the present application has a binding constant of 3.25 pM to the monkeypox virus E8 antigen, and has clinical application value for detecting monkeypox virus infection and laboratory application value for detecting E8 antigen.

The application discloses a deer-derived antibacterial peptide against gram-negative bacteria and a preparation method and application thereof, belongs to the technical field of biology, and the amino acid sequence is shown as SEQ ID No. 1. It is tested that the antibacterial peptide S6 has obvious inhibiting effect on most of tested gram-negative bacteria, the average antibacterial activity reaches 8.00 muM, the hemolytic activity and cytotoxicity are relatively low, the cell selectivity index is 32, and the antibacterial peptide S6 has relatively strong anti-enzymatic ability. The antibacterial mechanism of the antibacterial peptide S6 is determined, it is judged that the antibacterial peptide S6 has recognition and damage effects on the cell membrane of gram-negative bacteria, and finally leads to the death of bacteria. Therefore, the antibacterial peptide S6 is an antibacterial peptide against gram-negative bacteria with high clinical application value.

The present application relates to a kind of synthesis method and electronic equipment of coronary artery CCTA image, comprising: obtaining the image of paired NCCT and CCTA, after pretreatment, obtain high consistency image training pair;LDM model suitable for adapting coronary artery image synthesis is constructed, the LDM model includes frozen variational autoencoder, the denoising U-Net of trainable based on cross attention mechanism, and decoder, the denoising U-Net integrates ResNet2D module, Transformer2D module and multi-scale cross attention layer;After pre-processing, the NCCT image to be processed is input into the LDM model trained, and the latent representation of CCTA image is generated by the reverse diffusion denoising process in latent space, and finally the high-resolution Syn-CCTA image is output by decoder.Compared with prior art, the present application has the advantages of no contrast agent to realize coronary artery CCTA image with auxiliary diagnostic value.

This invention relates to the field of medical image processing, and in particular to a system and method for constructing a co-evolutionary early warning model for LDCT radiomics. The system includes a data acquisition module, a data processing module, a data modeling module, and a data evaluation module. The system extracts radiomics parameters based on topological space mapping, performs radiomics calculations in conjunction with clinical information, and filters image phenotypic parameters from the radiomics parameters. It constructs and optimizes an LDCT radiomics early warning model, which continuously evolves and optimizes based on a multi-objective topological space optimization neural architecture search mechanism. It outputs early warning probabilities and related results by combining follow-up information. The system introduces a multi-objective topological space optimization neural architecture search mechanism, a hierarchical model evolution prediction and dynamic evaluation mechanism, and a spatiotemporal collaborative feature fusion and adaptive weight allocation mechanism for multi-period CT images. This achieves adaptive optimization of the model structure, clinically oriented feature selection, full utilization of temporal relationships, and continuous model evolution.

The invention belongs to the technical field of microorganisms, and discloses a staphylococcus aureus strain and application thereof in staphylococcus aureus bacteriophage production, the staphylococcus aureus strain is named as staphylococcus aureus MRSA-GK-172, is preserved in China General Microbiological Culture Collection Center (CGMCC) on December 9, 2024, has a preservation number of CGMCC No.32997, and has a preservation number of CGMCC No.32997. The staphylococcus aureus strain is named as staphylococcus aureus MRSA-GK-172. The preservation address is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The staphylococcus aureus is low in toxicity, low in harm and low in drug resistance, reduces transfer of virulence drug-resistant genes from hosts to bacteriophages, is safe to use, is applied to bacteriophage production, is high in production efficiency and wide in applicable host range, can be used as host bacteria to be applied to bacteriophage screening and bacteriophage production, improves the safety and high efficiency of the link, and can be applied to the production of the bacteriophages. And the preparation method is also beneficial to optimizing the production process, has high clinical application value, and provides important host resources for development and application of phage preparations.

This invention relates to a gene diagnostic biomarker and kit for diagnosing refractory gastroesophageal reflux disease (GERD), belonging to the field of biomedical technology. The invention provides the application of a biomarker, NRF1 and / or NRF2, in the preparation of a diagnostic reagent for refractory GERD; a diagnostic reagent for diagnosing GERD, comprising reagents for detecting NRF1 and / or NRF2 expression; a diagnostic kit for diagnosing GERD, comprising reagents for detecting NRF1 and / or NRF2 expression; and the application of the reagent for detecting NRF1 and / or NRF2 expression in the preparation of a diagnostic reagent for refractory GERD, comprising primers for detecting NRF1 and / or NRF2 expression. This invention provides a reliable tool for the rapid and accurate diagnosis of refractory GERD.

The invention discloses a system and method for predicting endometrial cancer molecular subtypes based on magnetic resonance deep learning imageomics, and the system comprises a data collection module, a segmentation module, a feature extraction module, a fusion module and a prediction module which are connected in sequence. The method comprises the following steps: S1, data acquisition and input; s2, performing full-automatic tumor segmentation; s3, multi-modal feature extraction is carried out; s4, feature engineering and fusion; and S5, machine learning classification and prediction.By using the Swin UNETR deep learning segmentation model, not only is full-automatic tumor segmentation realized, but also end-to-end automation from MRI scanning to subtype prediction is realized, so that the workload of clinicians is greatly reduced, and the efficiency and repeatability are improved.

This invention discloses a combination of exosomal miRNA biomarkers for single embryo culture medium used to assess embryo implantation potential, its application, and a method for assessing embryo implantation potential, relating to the field of assisted reproductive technology. The biomarker combination includes the miRNA molecular markers hsa-miR-143-3p and hsa-miR-125a-5p, wherein the nucleotide sequence of hsa-miR-143-3p is 5′-UGAGAUGAAGCACUGUAGCUC-3′, and the nucleotide sequence of hsa-miR-125a-5p is 5′-UCCCUGAGACCCUUUAACCUGUGA-3′. This invention establishes a non-invasive method for detecting embryo implantation potential, revealing significantly elevated expression of hsa-miR-143-3p and hsa-miR-125a-5p in non-pregnant EVs. Experimental data show that the expression levels of hsa-miR-143-3p and hsa-miR-125a-5p are significantly correlated with embryo implantation potential, serving as key indicators for assessing embryo implantation potential. This method can effectively distinguish between embryos with successful and failed pregnancies, providing new biomarkers for embryo implantation potential assessment. Compared with existing technologies, this method has advantages such as being non-invasive, highly specific, and having a clear mechanism, providing important technical support for improving the success rate of assisted reproductive technology and developing personalized treatment strategies.

The application relates to the field of biotechnology, in particular to a nanobody targeting annexin A1 and a preparation method and application thereof, discloses a nanobody targeting annexin A1, the nanobody comprises a nanobody Nb6, wherein the amino acid sequence of the nanobody Nb6 is shown in Seq.ID NO.1, the nanobody Nb4 provided has higher affinity with annexin A1, the nanobody can be used for targeted action on annexin A1, has high-strength combination capacity with annexin A1, is favorable for development of a nanobody related medicine of annexin A1, realizes targeted treatment and imaging of tumors, and has very great clinical application value. Meanwhile, a molecular probe can be prepared based on the nanobody, the molecular probe is specifically combined with a tumor blood vessel surface annexin antigen, is applied to specific imaging and diagnosis of tumors, and is used for delivery of related medicines, and is widely applied.

The application discloses a medical document image classification method based on multi-modal fusion, relates to the technical field of medical information processing and artificial intelligence, and realizes automatic recognition and classification of nine types of documents; single-label annotation and consistency review of medical document images are performed based on annotation software; standardization preprocessing is performed on the images, an OCR engine is called to extract text to form an image mode and a text mode; a document image Transformer classification model and a Chinese pre-training language model classifier are trained respectively; under the same hierarchical cross-validation division, two types of features are extracted and late fusion training is performed to obtain a fusion classifier; single, batch and directory level inputs are supported in the reasoning stage, and the output category and confidence are output, and difficult samples can be located through cross-modal divergence analysis to guide data iteration; the application has higher robustness and explainability under long-tail category distribution, and is suitable for medical document automatic archiving, quality control auditing and data governance and the like.

The invention discloses a powerful external Chinese herbal medicine composition as well as a preparation method and application thereof, and belongs to the technical field of external Chinese herbal medicine preparations. The composition is formed by compounding active ingredients of traditional Chinese medicinal materials and a matrix of an external preparation, the formula compatibility is reasonable, medicinal materials such as oxalis corymbosa, herba violae, dandelion, paris polyphylla, radix tinosporae and pseudo-ginseng are selected, and the composition has the effects of clearing away heat and toxic materials, promoting blood circulation to remove blood stasis, relieving swelling and pain, removing slough and promoting tissue regeneration, and inhibiting bacteria and repairing. The process of water extraction, concentration, homogenization and sterile filling is adopted, operation is easy and convenient, the method is suitable for industrial production, and external dosage forms such as gel and cream can be prepared. The product has a good effect on diseases such as traumatic injuries, bruise and induration, burns and scalds, sores and ulcers, pyogenic infections and the like, the gel is refreshing and breathable, the gel is suitable for seepage wounds and used in summer, the cream is moist and slow-release, the cream is suitable for deep bruise and dry wounds and used in winter, the applicability is wide, the drug property is mild, and the good clinical practicability is achieved.

The invention discloses a traditional Chinese medicine composition for treating spleen deficiency type chronic fatigue syndrome and application of the traditional Chinese medicine composition. The traditional Chinese medicine composition comprises the following traditional Chinese medicines in parts by weight: 20-40 parts of astragalus membranaceus, 5-10 parts of ginseng rootlets, 1-10 parts of rhizoma cimicifugae, 10-20 parts of roasted rhizoma atractylodis macrocephalae, 10-20 parts of poria cocos, 10-20 parts of hairyvein agrimony, 10-20 parts of caulis spatholobi, 10-30 parts of prepared rhizoma polygonati, 10-20 parts of mulberries, 10-20 parts of prepared glossy privet fruits, 5-15 parts of pericarpium citri reticulatae, 1-10 parts of agilawood koji and 10-20 parts of herba pyrolae. , 10-20 parts by weight of aizoon stonecrop herb, and 1-10 parts by weight of licorice. The traditional Chinese medicine composition breaks through the limitation of a traditional prescription, integrates the traditional Chinese medicines with the effects of tonifying qi, activating blood, nourishing yin, clearing damp and the like, has an obvious treatment effect on the spleen deficiency type chronic fatigue syndrome, and has high clinical application value.

This invention relates to the field of intelligent control technology for medical devices, and provides a device for monitoring and relieving headache abnormalities through stimulation intervention. The device includes a helmet-shaped main frame housing a monitoring and relief module; an intelligent control system that asynchronously collects physiological characteristics and hardware load status via a duplex channel, deriving a high-dimensional state fusion model; and a closed-loop evaluation and iteration module to establish a differential efficacy closed-loop mechanism, uploading the collected data to the cloud for storage, enabling historical data management, clinical analysis, and continuous optimization of personalized strategies. This technical solution addresses the problems of dependence and side effects associated with traditional drug treatments, the high trauma and cost of surgical treatments, and the tendency of existing migraine intervention devices to develop tolerance in the nervous system due to fixed and predictable stimulation parameters used in open-loop control, leading to gradual attenuation of intervention effects over time and an inability to provide personalized and precise treatment.

This invention belongs to the interdisciplinary field of biomedical engineering and artificial intelligence-assisted diagnosis. It discloses a training method for a SERS spectral classification prediction model and its application. The disclosed SERS spectral classification prediction model training method combines CatBoost feature selection and deep learning. First, surface-enhanced Raman spectroscopy (SERS) data of serum from different categories of subjects is collected. After baseline removal, filtering, and normalization preprocessing, CatBoost gradient boosting algorithm is used to evaluate feature importance, considering the high-dimensional redundancy of the spectral data, and to select a subset of discrete feature bands containing key biomarker information. This feature subset is then input into a one-dimensional convolutional neural network model for training. The model constructed by this invention possesses deep feature mining capabilities, and the biological interpretability of the decisions is verified through SHAP analysis. It effectively solves the problems of large spectral noise interference and difficulty in extracting weak pathological features in traditional methods. For example, it can be used for the auxiliary diagnosis of coronary heart disease, achieving non-invasive, rapid, and high-precision classification and diagnosis of coronary heart disease and its subtypes.

The invention belongs to the technical field of medical instruments, and relates to a thrombus blockage prevention infusion pump which comprises a pump body, an infusion pipeline and a main control assembly, the pump body is provided with a pipeline clamping groove, an operation panel and an installation cavity, the infusion pipeline is installed in the pipeline clamping groove in a matched mode, and the main control assembly is fixed in the installation cavity. The operation panel is electrically connected to the main control assembly, and the main control assembly is used for basic infusion control and simple signal feedback; the anti-thrombus infusion pump further comprises a mechanical anti-thrombus mechanism, a pipeline sealing and fixing assembly and an auxiliary supporting assembly, and the mechanical anti-thrombus mechanism and the pipeline sealing and fixing assembly are both installed on the pump body and matched with the infusion pipeline. Wherein the mechanical anti-thrombus mechanism comprises a pulse type mechanical liquid pushing piece and a pipeline micro-vibrator mechanism, and the pipeline micro-vibrator mechanism is integrated on the inner wall of a pipeline clamping groove; the system has the effects of precise thrombus monitoring, active intervention, intelligent adjustment and blockage reduction.