Abstract: A cobaltosic oxide-loaded titanium dioxide heterojunction nanozyme and a preparation method therefor and an application thereof are provided. The cobaltosic oxide-loaded titanium dioxide heterojunction nanozyme includes a surface oxygen vacancy doped TiO2-x nanosheet and a variable-valence metal-containing Co3O4 nanozyme, wherein the Co3O4 nanozyme is loaded on the surface of the TiO2-x nanosheet to construct and obtain the Co3O4@TiO2-x heterojunction nanozyme. The Co3O4@TiO2-x heterojunction nanozyme is used as a nanozyme to catalyze and generate endogenous O2 and consume GSH, so as to improve the tumor microenvironment (TME), and achieve the effect of eradicating tumors by cooperating with sonodynamic therapy and catalytic therapy.

Abstract: A nerve conduit loaded with adipose-derived stem cells and a preparation method thereof are provided. The preparation method includes: S1, adding polycaprolactone and polyvinylpyrrolidone into a binary organic solvent, performing ultrasonic treatment, and then adding reduced graphene oxide nanoparticles to obtain a spinning solution; S2, electrospinning with the spinning solution and then washing for several times to obtain a semi-finished conduit product; and S3, injecting a cell mixture into the semi-finished conduit product to obtain the nerve conduit. A fiber surface of the nerve conduit has groove structures, and thus a specific surface area and cell adhesion sites are increased, and adhesion and proliferation of cells are facilitated.

Abstract: Method of determining insulin injection amount, computer storage medium, and devices, the method includes including: obtaining characteristic information and a blood glucose content at a current time of a target user; and determining an insulin injection amount at each time of the target user based on the characteristic information of the target user, the blood glucose content at the current time of the target user, a predetermined blood glucose prediction model, and a predetermined insulin injection amount prediction model. The method can facilitate the determination of the insulin injection amount at each time.

Abstract: The invention discloses a plague removal device, comprising, a push catheter, a plaque scraping stent, a support tube, an elastic filter membrane, a guide catheter, and a handle, wherein the plaque scraping stent is a mesh structure sleeved outside the support tube, a distal end of the plaque scraping stent is fixed on a distal end of the support tube, a proximal end of the plaque scraping stent is fixed on a distal end of the push catheter, the support tube is sleeved inside the push catheter; a distance between the distal end of the push catheter and the distal end of the support tube is adjusted by the handle, so that an outer diameter of the plaque scraping stent is varied. The unique structure design of “tapered structure” in the present invention can ensure good compliance during the entry and withdrawal of the stent.

Abstract: The invention discloses a hard tissue slice anti-falling pretreatment device which comprises a box and a slice frame, a buffer plate is arranged in the box, and a plurality of small holes are evenly formed in the buffer plate; the bottom of the box is communicated with a liquid discharge pipe through a liquid outlet, and the liquid discharge pipe is provided with a valve; the slice frame is arranged on the buffer plate and comprises two longitudinal support frames and a plurality of layers of transverse support frames fixed between the two longitudinal support frames; each layer of transverse support frame comprises a plurality of first support rods, the gradient of each first support rod relative to the horizontal plane is 0-15 degrees.

Abstract: The invention discloses a plague removal device, comprising, a push catheter, a plaque scraping stent, a support tube, an elastic filter membrane, a guide catheter, and a handle, wherein the plaque scraping stent is a mesh structure sleeved outside the support tube, a distal end of the plaque scraping stent is fixed on a distal end of the support tube, a proximal end of the plaque scraping stent is fixed on a distal end of the push catheter, the support tube is sleeved inside the push catheter; a distance between the distal end of the push catheter and the distal end of the support tube is adjusted by the handle, so that an outer diameter of the plaque scraping stent is varied. The unique structure design of “tapered structure” in the present invention can ensure good compliance during the entry and withdrawal of the stent.

Abstract: The invention provides a novel hard tissue slicing knife, comprising a knife back portion and a knife edge portion which are manufactured as a single piece; wherein the knife back portion has a cross section of an isosceles trapezoid, the knife edge portion has a cross section of an isosceles triangle; an end of the knife back portion which is away from the knife edge portion, has a thickness in a range of 4 mm to 15 mm; a junction between the knife back portion and the knife edge portion has a thickness in a range of 0.1 mm to 0.8 mm; the knife hack portion has a vertical height in a range of 27 mm to 38 mm; two faces of the knife edge portion is at an angle in a range of 10 degrees to 40 degrees.

Abstract: A method of fundus oculi image analysis includes acquiring a target fundus oculi image; analyzing the target fundus oculi image by a fundus oculi image analysis model determined by training to acquire an image analysis result of the target fundus oculi image; and the fundus oculi image analysis model includes at least one of an image overall grade prediction sub-model and an image quality factor sub-model. The method performs quality analysis on the target fundus oculi image by the fundus oculi image analysis model, and when the model includes the overall grade prediction sub-model, a prediction result of whether the target fundus oculi image as a whole is gradable can be acquired; when the model includes the image quality factor sub-model, the analysis result of the fundus oculi image quality factor can be acquired and the image analysis model is determined by extensive image training, and the reliability of the result of whether the image is gradable determined based on the above model is high.

Abstract: Methods of segmenting an abdominal image, computer apparatuses and storage mediums. The method includes acquiring an abdominal image to be examined; and classifying pixels in the abdominal image to be examined based on a trained full convolution neural network, and determining a segmented image corresponding to the abdominal image to be examined, wherein the trained full convolution neural network is trained and determined based on a first training set and a second training set, the first training set includes first sample abdominal images and pixel classification label images corresponding to the first sample abdominal images, the second training set includes second sample abdominal images and the number of pixels of second sample abdominal images correspondingly belong to each class. Through the methods herein, the accuracy of the segmentation can be improved.

Abstract: A fundus image processing method comprising: receiving a collected fundus image; identifying the fundus image via a first neural network to generate a first feature set of the fundus image; identifying the fundus image via a second neural network to generate a second feature set of the fundus image, wherein the first feature set and the second feature set indicate different lesion attributes of the fundus image; combining the first feature set and the second feature set to obtain a combined feature set of the fundus image; and inputting the combined feature set into a classifier to obtain a classification result.

Abstract: The invention relates to a graft for repairing articular cartilage defects, comprising at least one of an autologous costal cartilage or an allogeneic costal cartilage, wherein the graft can be a whole piece of costal cartilage or a cartilage particle-bound hydrogel graft. The invention further relates to the use of the graft and a method for repairing articular cartilage defects. In the present invention, it has a small secondary injury by using costal cartilage implantation. In addition, it can be a minimally invasive operation, avoiding the risk of complications such as prosthesis loosening and infection due to the artificial joint replacement. Because the amount of costal cartilage is sufficient, it can meet the needs of multiple cartilage reconstruction and revision surgeries. Individualized reconstruction of injured articular cartilage surface can be achieved, which provides a safer, more operable repair method for patients diagnosed with articular cartilage defects.

Abstract: A method of automatically detecting microaneurysm based on multi-sieving convolutional neural network (CNN), includes the following steps of: A1), partitioning an image to be detected using random fern and obtaining an auxiliary channel image of the image according to a first partition result; and A2), inputting the auxiliary channel image obtained from step A1) and the image to a multi-sieving CNN training model to perform a detection and obtaining a microaneurysm detection result of the image. The process of establishing the training model includes: B1), using a current microaneurysm diagnostic report as samples and partitioning a lesion image in the microaneurysm diagnostic report using the random fern, and establishing the auxiliary channel image according to a second partition result; B2), comparing the obtained auxiliary channel image with a lesion-marked image of pixels, clarifying the samples according to a comparing result and performing the multi-sieving CNN training.

Abstract: In one aspect, provided herein are set of primers and use of the same for the detection of SNPs associated with diabetes. In certain embodiments, the primers used to detect SNP sites associated with diabetes comprise Primer Set 1 to Primer Set 47. The experiments show: the genotyping results of the SNP sites associated with diabetes can be accurately detected by the primers disclosed herein, and the risk of individuals can be comprehensively evaluated and the result is more accurate than the single site analysis. In addition, SNPs disclosed herein are verified as associated with type 2 diabetes and its complications, which are especially suitable for the prevention and individualized treatment for type 2 diabetes in East Asian, for example, in China.