7 results about "Living birth" patented technology

The application discloses a hydrogel for endometrial repair, which is prepared from platelet-rich plasma, benzene boronic acid modified hyaluronic acid methacrylate (HAMA-PBA), phenyl-2,4,6-trimethyl benzoyl phosphonic acid lithium (LAP), calcium chloride (CaCl2) and polyvinyl alcohol (PVA). The application further provides a preparation method of the hydrogel, which comprises the following steps: mixing HAMA-PBA aqueous solution, LAP aqueous solution and CaCl2 aqueous solution to obtain a precursor solution A, dissolving PVA in PRP to obtain a PVA-PRP mixed solution as a precursor solution B, mixing the precursor solution A and the precursor solution B at a volume ratio of 1:1 to obtain PRP@HAMA-PBA-PVA hydrogel, and irradiating the PRP@HAMA-PBA-PVA hydrogel under ultraviolet light to obtain the hydrogel for endometrial repair. The hydrogel can significantly promote endometrial cell proliferation, has strong pro-angiogenic characteristics, inhibits endometrial fibrosis, and thus comprehensively repairs the endometrial microenvironment, promotes endometrial regeneration and improves embryo implantation rate and live birth rate.

Described herein are systems and methods for implementing predictive models for optimizing fertility treatment for a patient. A method may include, via a first model having received first patient data, predicting a probability distribution for an egg outcome of a retrieval cycle for the patient. The method may then include, via a second model having received second patient data, predicting a success rate for a first fertility outcome for the patient. Next, the method may include providing, via a user interface, an indicator of a probability of that a second, different fertility outcome will result from the retrieval cycle based on the predicted probability distribution for the egg outcome and the predicted success rate for the first fertility outcome. The second fertility outcome may include a quantity of live births, such as at least two live births.

The invention relates to the technical field of application of artificial intelligence in assisted reproduction technology, and discloses an assisted reproduction multi-node clinical decision-making method based on machine learning. The method comprises the following steps: collecting sample data, obtaining sample features, and carrying out conversion and interpolation on the sample features; performing predictive variable screening on the sample features by using a Spearman correlation coefficient; dividing the data of the complete sample into a training set, a test set and a verification set according to a sample proportion of 8: 1: 1, taking a predicted variable obtained by screening as an independent variable in the training set, and taking accumulated live birth within 2 years after single egg taking as a dependent variable; respectively constructing prediction models in different decisions of four stages of a controlled ovarian stimulation scheme, a gonadotropin initiation amount and the like, and correcting to obtain prediction values; and carrying out hyper-parameter adjustment by using the test set, and comparing live birth outcomes of the crowds which accord with and do not accord with the recommendation by using the verification set. According to the method, corresponding cumulative live yield prediction can be provided for various feasible schemes, and a single optimal path is not recommended.

The invention discloses a high-quality embryo screening method based on embryo image and free RNA (cfRNA) multi-modal fusion, and belongs to the technical field of assisted reproduction. The method is based on a single embryo culture system and comprises the following steps: collecting a culture solution of a blastocyst-stage embryo and a corresponding embryo image and clinical information, obtaining molecular characteristics of cfRNA in the culture solution by adopting an ultramicro cfRNA sequencing library preparation technology, and extracting embryo morphology and time sequence dynamic characteristics in combination with a deep learning algorithm. And a multi-modal prediction model fusing molecule and image information is constructed, so that non-invasive accurate evaluation of embryo quality, pregnancy rate and live birth rate is realized. According to the method, the problems of high subjectivity, high invasive risk and insufficient prediction accuracy of traditional morphological evaluation are solved, the accuracy of high-quality embryo screening is improved through multi-modal information fusion, a safer and more efficient embryo evaluation scheme is provided for an assisted reproduction technology, and the method has important clinical application value.

The application discloses a SNP molecular marker of a rs334225108 site related to a litter size character of a large white pig and application thereof, and belongs to the technical field of molecular markers. The application performs genotyping on DNA samples of 679 large white pigs by using a low-depth (1x) whole genome resequencing technology, and finally screens out a SNP site significantly related to the litter size character of the large white pig through whole genome association analysis (GWAS). The SNP molecular marker is located at a nucleotide at 14804839 of a chromosome 3 in an Ensembl Sscrofa11.1 reference genome version, and a base mutation of T>C exists. Research results show that when the genotype at the site is T / T, the live litter size of the large white pig individual is the highest. The application provides a new marker for genetic improvement and molecular marker assisted breeding of the large white pig in the litter size character.

This invention discloses a live birth prediction system for polycystic ovary syndrome (PCOS) patients after ovulation induction-guided intercourse. The system includes: a data acquisition module for acquiring basic data of PCOS patients; a preliminary screening module for calculating preliminary live birth rate predictors using a univariate Cox regression model based on the basic data; a final screening module for calculating final live birth rate predictors using a multivariate Cox regression model based on the preliminary live birth rate predictors; a live birth rate model construction module for constructing a live birth rate prediction model from the final live birth rate predictors; and a nomogram plotting module for plotting a live birth rate prediction nomogram based on the live birth rate prediction model to predict the live birth rate after ovulation induction-guided intercourse in PCOS patients. The system of this invention can accurately and effectively predict the live birth rate after ovulation induction-guided intercourse in PCOS patients.

The invention provides application of Jinfeng pills in preparation of a medicine for treating ovarian hyporesponsiveness. The Jinfeng pill provided by the invention can significantly improve the E2 and TT levels in serum and follicular fluid of a POR patient, and improve the mature ovum rate, the high-quality embryo rate, the clinical pregnancy rate and the living yield of the POR patient, thereby improving the IVF-ET treatment outcome of the POR patient.