25 results about "Living birth" patented technology

The invention discloses an in-vitro fertilization-based method and system for predicting the cumulative live productivity of multiple complete cycles, and the method comprises the steps: obtaining clinical data, embryo information and pregnancy follow-up visit data of a patient, and screening and preprocessing a sample in combination with a collection and discharge standard; feature variables are extracted before treatment, after treatment and at the early stage of pregnancy, an optimal set is determined, and key factors influencing live birth at all stages are accurately captured; after the nonlinear variables are processed by the RCS, a pre-treatment / post-treatment COX regression model and a Logistic regression model are adaptively constructed, and the prediction precision is improved by fitting data characteristics; and meanwhile, by evaluating the iterative optimization model, the variable weight is visually displayed by using a Nomogram graph after the model is qualified. The method can accurately predict the multi-cycle cumulative live productivity, assists a doctor in formulating a personalized scheme, helps a patient to reasonably plan treatment, reduces the time and economic burden of blind treatment, and has clinical practical value and benefits of the patient.

The invention provides a system for predicting the live birth probability of a uterus mediastinum patient, and the system comprises an input module which is used for inputting the information of the uterus mediastinum patient, enabling the information to be related to the pregnancy outcome of the uterus mediastinum patient, and dividing the information into a training set and a verification set; the model construction module is used for screening candidate prediction indexes from the information by using a single-factor binary logistic regression model in the training set, screening a final prediction index from the candidate prediction indexes by using a multi-factor binary logistic regression model, and constructing the multi-factor binary logistic regression model based on the final prediction index; and the prediction module is used for calculating an optimal cut-off value by using an ROC curve, calculating the live delivery probability of the uterine mediastinum patient by using the constructed multi-factor binary Logistic regression model in the verification set, and predicting whether the uterine mediastinum patient can live delivery or not according to the optimal cut-off value. The method is high in prediction accuracy, simple in user operation and easy to accept.

The invention discloses an intrauterine artificial insemination live productivity prediction method, system and device and a medium, and relates to the field of reproductive medicines.The method comprises the steps that target clinical information is obtained, and the target clinical information comprises clinical information of a to-be-predicted intrauterine artificial insemination patient and clinical information of a to-be-predicted intrauterine artificial insemination patient partner; performing re-sampling on the target clinical information by adopting an SMOTE-Tomeklinks algorithm to obtain target re-sampled clinical information; and inputting the target re-sampling clinical information into an intrauterine artificial insemination living yield prediction model constructed based on an XGboost model to obtain a predicted value of the prognosis intrauterine artificial insemination living yield of the intrauterine artificial insemination patient to be predicted. According to the method, real-time prediction of the intrauterine artificial insemination live-birth rate is realized, the prediction efficiency is improved, the prediction accuracy of the intrauterine artificial insemination live-birth rate is also improved, and meanwhile, the problem of unbalanced training data is solved.

The invention relates to the technical field of microbial preparations, and provides a microbial agent suitable for animal feed, which not only can improve the litter size and live litter size, but also can improve the birth weight of piglets and improve the survival rate of the piglets on the basis of solving constipation of sows by adopting probiotics. A microbial agent suitable for animal feed comprises 15 parts of bacterial powder, 45 parts of corn starch, 12 parts of skim milk powder, 8 parts of a yeast extract, 7 parts of a soybean extract and 6 parts of a rice bran extract. The bacterial powder is pediococcus pentosaceus bacterial powder, and the viable count of pediococcus pentosaceus in the microbial agent is not less than 1 * 10 < 6 > CFU / g.

The present invention relates to the technical field of female reproductive aging assessment, and discloses a method for female reproductive aging assessment. The method comprises the following steps: collecting female infertility-related data to obtain the cumulative live birth situation after a single controlled ovarian stimulation; using a random forest model to select age, anti-Müllerian hormone, antral follicle count, and basal follicle-stimulating hormone as the main predictive indicators for cumulative live birth, and confirming the non-linearizable curve characteristics of their correlations; based on the generalized additive model, using the above indicators to better predict cumulative live birth and mapping it to the corresponding age to obtain the reproductive aging assessment indicator - reproductive age. The prediction model still has a relatively high accuracy in the external dataset, and the reproductive age has universality and popularization for the differentiation of the population and the assessment of fertility. The beneficial effects of the present invention are: the constructed reproductive age model breaks through the linear framework of the traditional chronological age and effectively improves the accuracy of the assessment of reproductive aging and female fertility.

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.

The present invention discloses the application of Nrf2 in the auxiliary diagnosis of fetal lung hypoplasia caused by intrauterine growth restriction, belonging to the field of biotechnology. This study found that the knockout of the Nrf2 gene in mice with intrauterine growth restriction led to a decrease in the live birth rate compared with wild-type mice, a decrease in the birth weight of fetal mice and the appearance of catch-up growth, an exacerbation of asymmetric development, and an obstruction in the development of pulmonary blood vessels; the oxidative stress index in lung tissue was aggravated; the pyroptosis index GSDMD in lung tissue increased. Overexpression of Nrf2 can effectively inhibit the expression of GSDMD and inhibit cell pyroptosis. The above results indicate that Nrf2 plays an important protective role in the lung hypoplasia of IUGR. Overexpression of Nrf2 can play a role in preventing and / or alleviating fetal lung hypoplasia caused by intrauterine growth restriction, and detecting the content of Nrf2 can predict the development of the fetal lung.

The invention relates to the technical field of female reproductive aging evaluation, and discloses a female reproductive aging evaluation method. The method comprises the following steps: collecting related data of female infertility, and obtaining an accumulated live birth condition after single controlled ovarian stimulation; selecting age, anti-mullerian tube hormone, sinus follicle counting and basic follicle-stimulating hormone as main prediction indexes of accumulated live production by utilizing a random forest model, and verifying related curve characteristics which cannot be linearized; based on a generalized additive model, accumulated live production is well predicted by using the indexes and mapped to the corresponding age, and a reproductive aging evaluation index-reproductive age is obtained. The prediction model is still high in accuracy in an external data set, and the method has universality and generalization performance for distinguishing crowds and evaluating fertility by reproductive age. The method has the advantages that the constructed reproductive age model breaks through a linear framework of traditional time and age, and the accuracy of reproductive aging and female fertility evaluation is effectively improved.

Cumulus cell (CC) gene expression is explored as an additional method of morphological scoring to select an embryo with the highest chance of pregnancy. The present invention relates to a novel method for identifying biomarker genes for assessing the ability of mammalian oocytes to produce viable pregnancy after fertilization based on the use of live birth and embryonic development as endpoint criteria for the oocytes for exon level analysis of potential biomarker genes. The invention further provides biomarker genes of CC expression thus identified, as well as prognostic models based on biomarker genes identified using the methods of the invention.

The application provides a composition, a method and application thereof for sows to be delivered at the same time, and particularly discloses a composition and a method for sows to be delivered at the same time by using vitamin B6, mifepristone, combined with sodium cloprostenol and carbetocin to shorten the delivery process and improve the live birth rate. The composition of the application aims at the problem that the live birth rate is reduced due to the sows to be delivered at the same time, thereby affecting the production efficiency of sows, and on the basis of the delivery drugs sodium cloprostenol and carbetocin, vitamin B6 and mifepristone are combined to form a new delivery at the same time scheme. The application shortens the delivery process of sows and improves the live birth rate of sows, and is a method for improving the delivery effect of batch sows at the same time, which provides great value for improving the PSY of sows and promoting the batch management of sows.

The invention belongs to the technical field of pig molecular markers, and particularly discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to the character of the number of live piglets born by pigs and application of the SNP molecular marker. Gene typing is carried out by utilizing a gene chip technology, whole genome association analysis is carried out on the basis of SNP molecular markers, and four SNP molecular markers related to the character of the live litter size of the pig are screened out through the analysis. The SNP molecular marker is located in a pig chromosome 2, is annotated to a PPP2R2B gene segment, and can be used for marker-assisted breeding of pig live birth number traits and heterosis utilization thereof.

The present invention relates to the field of assisted reproductive technology, and discloses an assisted reproductive information analysis method and system, which realizes the systematization and standardization of the decision-making process by constructing an assisted reproductive decision-making model based on the Markov decision process. The model defines a state space including patient genetic data and clinical data, as well as an action space such as adjusting drug dosage and selecting treatment plans, and designs a reward function based on pregnancy rate and live birth rate. The deep Q network algorithm is used for model training, and the scientificity and accuracy of decision-making are improved through iterative learning and parameter tuning. The model performance is evaluated by the A / B test method, and compared with the doctor's routine plan to verify the effectiveness of the model. Finally, based on the trained model, the patient's personal data is analyzed to provide doctors with personalized treatment plan recommendations.

The present invention provides methods of improve efficiency, growth, and performance in an animal by orally administering to the animal an effective amount of a therapeutic clay. The methods can reduce embryonic loss, increase litter size, increase the number of live births, improve the immune status of the maternal animal, reduce the concentration of maternal fecal amino acids, reduce the concentration of maternal fecal short-chained amino acid, increasing litter birth weight in the maternal animal, increase the amount of young animal colostrum intake, reduce young animal pre-weaning mortality, reduce the number of young animals lost due to low viability, reduce the number of weaned young animals, improve the immune status of young animals at weaning, reduce the number of lightweight young animals from nursery to market, increase the number of young animals marketed per sow, and increase calculated litter weight gain.

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 present invention discloses an embryo automatic liquid exchange culture dish, comprising at least one group of culture units, wherein the culture unit comprises an injection pool, a culture pool and a waste liquid cavity connected in sequence; wherein the upper part of the injection pool is connected with a liquid inlet channel, and its bottom is connected with the bottom of the culture pool through an overflow channel; the bottom of the culture pool is provided with at least one embryo microhole, and the bottom of the embryo microhole is connected to the waste liquid cavity through a waste liquid channel. The embryo automatic liquid exchange culture dish of the present invention can achieve complete liquid exchange and effectively meet the material requirements required for each development stage of the embryo; the present invention avoids the damage to the embryo culture environment and the damage to the embryo itself caused by repeated manual intervention operations through automatic liquid exchange, can improve the stability of embryo culture and the quality of blastocysts, and effectively increase the clinical pregnancy rate and live birth rate.

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 invention belongs to the technical field of animal reproduction, and discloses application of a feed for improving reproductive performance of sows. According to the invention, the eucommia ulmoides extract is applied to the daily ration of the sows at the early stage of pregnancy for the first time, and it is found that the eucommia ulmoides extract can significantly improve the activity of T-AOC, SOD and CAT in serum of the sows, the blastocyst EdU positive cell rate, the diversity of intestinal flora alpha and the relative abundance of beneficial bacteria; the serum MDA content of the sows and the relative abundance of harmful bacteria in intestinal tracts are reduced, and the total litter size, the total live litter size, the live birth weight, the live birth litter weight and the stillbirth rate of the sows are remarkably influenced. And the economic benefit of the farm is improved to a great extent.

The present application relates to a kind of improving the reproductive performance of pregnant sow pepper seed polysaccharide and its preparation method, belong to polysaccharide preparation technical field.The preparation method of pepper seed polysaccharide described in the present application includes organic solvent extraction, microbial fermentation, enzymolysis, impurity removal, alcohol precipitation and the like.Using the pepper seed polysaccharide prepared by the present application for feeding pregnant sow, can significantly improve the live birth rate and healthy birth rate, thereby significantly improving its reproductive performance.

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.

In the present invention it has been found that a tungsten (VI) salt or a solvate thereof can be used in a method of increasing the live birth delivery rate in an infertile women, increasing the ongoing pregnancy rate in infertile women and / or increasing the biochemical pregnancy rate in infertile women, wherein the tungsten (VI) salt or a solvate thereof is administered in an amount of 100 to 400 mg / day and / or following administration, the maximum concentration (Cmax) of the tungsten (VI) salt in the blood plasma is 1200 ng / ml to 3200 ng / ml and the area under the curve (AUC) from 0 to 24 hours is 8000ng·h / ml to 25000ng·h / ml.

The disclosure relates to the field of biology and provides a breeding method for ameliorating or avoiding the adverse effects of exogenous gonadotropins on reproductive performance, which comprises administrating N-acetylcysteine and vitamin A prior to the exogenous gonadotropin treatment. The disclosure can effectively improve the reproductive performance, including improving the uterine receptivity and pregnancy outcome after exogenous gonadotropins treatment, such as embryo implantation rate, the status of embryo development after implantation, pregnancy rate, live birth, health condition of born offspring, and other effects, by using a combination of N-acetylcysteine and vitamin A. Moreover, the combination of N-acetylcysteine and vitamin A has synergistic effect and has a wide application prospect, for example, in animal husbandry to realize the reproduction regulation and control management of animals including domestic animals such as pigs, horses, cattle, and the like and realize batch production, as well as in the field of assisted reproduction, with high application value.

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.

A method can include receiving, at a computer system, characteristic values of a pregnancy of a subject. As an example, the characteristic values can include a numerical value for a live birth order of the pregnancy for the subject. The computer system can store a machine learning model that receives a first set of input features and provides a second set of one or more output values. In some embodiments, the first set of input features can correspond to the characteristic values of the pregnancy of the subject. The second set of one or more output values can include a probability of a Cesarean delivery. The characteristic values can be input into the machine learning model to obtain the probability of the Cesarean delivery being required for the subject during an attempt of a vaginal delivery. The Cesarean delivery can be performed based on the probability.