45results about How to "Achieve early detection" patented technology

The invention discloses a biomarker relating to renal clear cell carcinoma. The biomarker is SLC17A9. Experiments prove that the expression of the SLC17A9 is up-regulated in patients suffering from the renal clear cell carcinoma, proliferation and invasion of the renal clear cell carcinoma cells can be inhibited, and the SLC17A9 can serve as a diagnosis and / or treatment target to be applied to clinical renal clear cell carcinoma diagnosis and treatment.

The invention discloses oral cavity comprehensive detecting method and apparatus based on a flexible phase controlled ultrasonic array. The apparatus comprises a display module, a phase controlled ultrasonic transmitting module and a phase controlled ultrasonic receiving module connected with a control module, respectively. The phase controlled ultrasonic transmitting module and the receiving module are further connected with a flexible phased array ultrasonic transducer array. The method comprises the following steps of: performing ultrasonic scanning to detect teeth facing outwards skin in periphery of the oral cavity on the face or in all directions of other soft tissues of the oral cavity through the flexible phased array ultrasonic transducer array; transmitting ultrasonic waves withset frequency to detection points through the phased array focused ultrasound when detecting the teeth so as to detect the amplitude of the reflected wave and detect whether defect waves exist in thereflected wave; and transmitting ultrasounds with different frequencies to the detection points through the phased array focused ultrasound and detecting the attenuation of the transmitted wave with different frequencies at the other end when detecting the soft tissues of the oral cavity so as to obtain broadband ultrasonic attenuation parameters. Therefore, health states of the soft tissues of oral cavity can be obtained rapidly.

The invention belongs to the field of medical examination and relates to a colloidal gold test strip for detecting a human surfactant protein A, as well asa preparation method and application of the colloidal gold test strip.The colloidal gold test strip for detecting the human surfactant protein A comprises a water absorption pad, a nitrocellulose membrane, an immune colloidal gold pad, a sample pad and a polyvinyl chloride bottom platesequentially, wherein the nitrocellulose membrane comprises a quality control line C and a detection line T; the line C is a secondary antibody; the line T is rabbit anti-human surfactant protein A polyclonal antibody II; and the immune colloidal gold pad is a glass fiber coated with a colloidal gold labeled murine anti-human surfactant protein A monoclonal antibody I.The colloidal gold test strip can quickly detect the human surfactant protein A in body fluid, has sensitivity and specificity, is simple to operate, convenient to use and short in time, and can be applied to early detection or diagnosis products of a neonatal respiratory distress syndrome and products for detecting the human surfactant protein A in other body fluids.

The present invention addresses the problem of developing an analytical method which makes it possible to diagnose early or mild renal disorders. The method is based on calculating a disease-state index value for renal disorders on the basis of the quantities of D-form and / or L-form amino acids, from feces or intestinal content. By comparing the disease-state index value with a threshold value determined from the disease-state index values of a renal failure patient group and a healthy subject group, it is possible to diagnose a mild renal disorder patient group.

The invention discloses a PCR-specific primer, a kit and a use method thereof for detecting genes related to metastasis of thyroid cancer. The high-throughput sequencing technology-based PCR-specific primers for the detection of thyroid cancer metastasis-related genes independently developed by the present invention, the kit and the use method involved in the thyroid cancer metastasis-related genes have been verified by samples and can be used to detect thyroid cancer The mutation status of metastasis-related genes, the test result can be used as an intermediate result together with other test results to determine whether cancer cells have metastasized or whether there is a possibility of metastasis or recurrence, which is of great significance for the treatment and prognosis of thyroid cancer. Moreover, the present invention uses high-throughput gene sequencing technology to break through the limitations of traditional detection technology, improves detection sensitivity, and can detect even low-abundance mutated genes, thereby helping to predict the possibility of proliferation and recurrence of thyroid cancer cells. Significance.

The present invention discloses a detection method, system, electronic equipment and storage medium for pregnancy hypertrophy.The training feature points marked pre -marked in the image are used as the output to establish a feature point acquisition model; obtain the target eye image image of the target patient; input the target eye image into the feature point to obtain the model, Determine that the patient patient has the fundus lesions of the gestal hypertension, and then establish an algorithm based on other indicators to determine whether there is a hypertrophy and the prognosis of the disease.The present invention effectively improves the diagnosis and treatment model of pregnancy hypertrophy, realizes early detection, timely, and convenient, and improves the accuracy and efficiency of testing; accurately predicts the risk of disease progress, so as to achieve active intervention in the patient's condition.Handling in time reduces the risk and damage of stood hypertrophy.

The invention discloses a multi-modal fusion image sorting method based on RLS-ELM. The method is characterized by comprising the steps that 1. rs-fMRI, sMRI and DTI data of a plurality of tested objects are obtained, preprocessing is carried out, and tested data which do not accord with a provision are removed; 2. ReHo values of voxels in the rs-fMRI data are computed; 3. grey matter density values of voxels in the sMRI data are computed; 4. FA values of voxels in DTI data are computed; 5. the ReHo values, the grey matter density values and the FA values of the voxels are connected to form a new characteristic matrix A; 6. the new characteristic matrix A is subjected to PCA dimension reduction processing; and 7. an RLS-ELM sorter is subjected to training, and a trained RLS-ELM sorter is obtained. According to the multi-modal fusion image sorting method based on RLS-ELM, sorting accuracy and sorting speed are obviously improved, disease early discovering and early treating are achieved, and great significance is achieved in a clinical medicine study process for revealing disease progression is achieved.