4 results about "Kidney stones" patented technology

This invention belongs to the biomedical field and relates to the application of a compound in preventing the recurrence of calcium oxalate kidney stones. The application of the compound, or its pharmaceutically acceptable salts, esters, solvates, crystal forms, or prodrugs, in the preparation of reagents for preventing the recurrence of calcium oxalate kidney stones is described. The structure of the compound is as follows: [structure details missing]. The calcium oxalate kidney stones originate from Randall plaques. Extensive experimental evidence demonstrates that Benathin can enhance intercellular adhesion by repairing the adhesion protein network damaged by hydroxyapatite (HAP), thereby reversing epithelial damage, preventing epithelial cell detachment, and effectively protecting the renal papillary mucosal barrier, thus reducing the risk of stone formation and recurrence of calcium oxalate kidney stones.

The present application relates to a kind of bubble drinks for high uric acid population, production method, equipment, belong to functional food processing technical field.It includes the following weight parts of component: acid-eliminating composition extract: 6 to 9 parts by crude drug amount;Alkalization acid-eliminating regulator: 0.9 to 1.5 parts;Natural sweet and functional agent: 0.5 to 6 parts;And the balance of water;Acid-eliminating composition extract is prepared from chicory, tuckahoe and gardenia;Alkalization acid-eliminating regulator is composed of food-grade sodium bicarbonate and citric acid, both are reacted in water to generate sodium citrate buffer pair, and the mass ratio of citric acid and sodium bicarbonate is 1:(1.2-2.0), and the final pH of the bubble drink is 6.2-6.8.Utilize the sodium citrate buffer generated by alkalization acid-eliminating regulator reaction, fundamentally resolve uric acid crystallization, prevent uric acid kidney stone.Combined with acid-eliminating composition extract, physiological level of synthesis inhibition and excretion promotion and physicochemical level of urine alkalization and solubility promotion are realized.

This invention belongs to the field of risk prediction technology, specifically relating to a biomarker, model, and application for predicting the recurrence of calcium oxalate kidney stones. It constructs a risk prediction model for short-term, multiple recurrences of calcium oxalate kidney stones using five core variables: butyric acid, isobutyric acid, isovaleric acid, and triglycerides in the blood, and phenylacetic acid in the intestine. The predictive model of this invention has high efficacy and can serve as a risk prediction indicator for the frequency of stone recurrence.

This invention provides a method, system, and medium for assessing the fragility of kidney stones based on CT images, belonging to the field of CT image processing technology. The method includes: acquiring CT images with stone border labels and a training set of the maximum fragment volume after ESWL (Extract, Scale, and Lie); extracting stone morphology, texture, and heterogeneity features from the CT images to construct an original multimodal feature vector; constructing a multimodal grouped autoencoder, with the first layer being a group discovery layer; setting a group weight matrix; using mean squared error as the reconstruction loss; and introducing an L2,1 norm sparse regularization term during training to obtain the weight matrix; filtering features based on the absolute value threshold of the weights in each row of the matrix to construct feature groups; calculating group weights based on the variance of each feature group in the training set; for each sample, taking the mean of features within the group, and weighting and fusing them with group weights to obtain a fused feature vector; and finally training a multilayer perceptron regression model using the fused features as input to obtain a fragility assessment model. This method integrates multiple types of features and automatically mines associated feature groups, solving the problem of low accuracy in assessing kidney stone fragility caused by a single reference factor.