275 results about "Fetus" patented technology

The invention provides methods, systems, and computer readable medium for detecting ploidy of chromosome segments or entire chromosomes, for detecting single nucleotide variants and for detecting both ploidy of chromosome segments and single nucleotide variants. In some aspects, the invention provides methods, systems, and computer readable medium for detecting cancer or a chromosomal abnormality in a gestating fetus.

A vacuum extractor for use in childbirth includes a vacuum cup and a handle coupled to the vacuum cup. The handle includes a grip member and a pump member movably mounted on the grip member. The pump member is configured to be manually moved relative to the grip member by a user between a first position and a second position to generate a vacuum within the vacuum cup when the vacuum cup is disposed on the head of a fetus. The grip member includes a first laterally extending member and a second laterally extending member, which are separated from one another in a longitudinal direction. The user can grip either the first laterally extending member or the second laterally extending member while pushing the pump member toward the grip member to move the pump member from the first position to the second position during use of the vacuum extractor.

The invention provides a MedLP and HAFB collaborative driving fetal II-level ultrasonic image classification method, which comprises the following steps of S1, collecting fetal II-level ultrasonic section images of key parts; performing section marking and preprocessing on the collected ultrasonic images, and randomly disrupting the sequence of all the images and the corresponding labels for model training; s2, a MedLP-HAFB-CLIP model is constructed, and the MedLP- S3, the constructed MedLP-HAFB-CLIP model is trained, and the HAFB-CLIP model is constructed; s4, inputting an ultrasonic image into the trained MedLP-HAFB-CLIP model, performing feature extraction, fusion and processing on the input ultrasonic image to generate unified feature representation, matching the feature representation with predefined anatomical category text prompt features to generate a similarity score matrix, and performing feature extraction, fusion and processing on the similarity score matrix; and according to the similarity score matrix, obtaining a model, and distributing a category index with the highest similarity to each image to serve as a prediction result of the input ultrasonic image. According to the method, the classification accuracy and efficiency of the fetal ultrasonic image are remarkably improved.

The present invention relates to an incubation system for liquid-based incubation of prematurely born infants, comprising: —an inner chamber forming an amniotic basin comprising amniotic fluid, said basin being configured for holding said infant and being made from a flexible material configured for expanding said inner chamber volume in correspondence with the growth of said infant; —an outer chamber enclosing said inner chamber and comprising a temperature regulation fluid, —a fetal connection port, arranged for connecting with the umbilical cord of said infant, said umbilical cord providing a port in said inner chamber to said infant for providing dialyzation and nutrition compounds to said infant via said umbilical cord; —a fetal control unit, connected to said fetal connection port for control of said dialyzation and control of said provided nutrition by monitoring and controlling one or more of a pressure, flow and temperature thereof; an amniotic fluid circulation unit, arranged for connecting with an inlet / outlet port of said inner chamber and comprising a pump for circulating said amniotic fluid from said inner chamber and through a purification system located outside said inner chamber; and —a temperature regulation fluid control unit, arranged for connecting with an inlet / outlet port of said outer chamber and comprising a pump for circulating said temperature regulation fluid from said outer chamber and through a heat exchanger system located outside said inner chamber.

Compositions, methods, kits, systems, and software are provided for non-invasive prenatal testing for autosomal recessive diseases. Next generation sequencing is used to sequence maternal and fetal DNA isolated from maternal plasma by probe capture. The fetal fraction of the sequencing reads for DNA isolated from maternal plasma is estimated by counting single nucleotide polymorphisms (SNPs) for which an allele is detected that is present in the paternal haplotype but absent in the maternal haplotype, based on the assumption that SNPs having a paternal allele belong to the fetal DNA. The fetal fraction is bioinformatically enriched by excluding sequencing reads over a specified length via in-silico size selection, which increases fetal genotype prediction accuracy. Parental haplotype information together with the read ratios observed at the linked SNPs is used to predict the fetal genotype at a site of a mutation linked to the autosomal recessive disease.

The invention provides a non-invasive fetal trisomy 21 syndrome prenatal screening kit based on digital PCR, and relates to the technical field of fetal trisomy 21 syndrome screening, according to a method for enriching fetal cfDNA in pregnant woman plasma, SPRIselect magnetic beads with low enrichment multiple and silicon hydroxyl magnetic beads are combined for use, and under a certain dosage, the recovery rate of fetal cfDNA short fragments reaches 95%; according to the provided multiple system construction method, positive gDNA and negative gDNA are obtained on the basis of a 21 trisomy positive cell line and a 21 trisomy negative cell line, low-proportion reference substances are prepared and used, internal reference sites and detection sites which are high in detection capacity and stable in detection performance are screened from the beginning, and compared with existing multiple system establishment and verification through direct use of pregnant woman plasma samples, the multiple system construction method has the advantages that the detection efficiency is high, and the detection cost is low. The to-be-detected sample with lower fetal cfDNA content can be stably detected.

The invention discloses a self-adaptive noninvasive fetal electrocardiosignal extraction method based on a logarithmic hyperbolic secant function. The method comprises the following steps: constructing a mother abdomen electrocardiosignal model; based on a self-adaptive filtering framework, inputting a chest electrocardiosignal MECG of the mother as a reference signal and an abdomen signal AECG as an expected signal, and calculating filtering output; defining a target function and updating a weight coefficient; the extracted fetal electrocardiosignals are output through Monte Carlo experiment optimization parameter combination; the invention further lays a foundation for long-term real-time monitoring of puerperae and fetuses through portable equipment.

Systems and methods are provided for aiding the detection and diagnosis of critical heart defects during fetal ultrasound examinations, in which image data (e.g., motion video clips and / or image frames) is analyzed with machine learning algorithms to detect and identify morphological and / or flow abnormalities indicative of critical CHDs. The results of the analyses are presented for review to the clinician, optionally with an overlay, for the selected image frames that identifies the abnormalities with graphical or textual indicia. The overlay further may be annotated by the clinician and stored to create documentary record of the fetal ultrasound examination.

The invention belongs to the field of food, and particularly relates to application of active folic acid substances to regulation of intestinal flora of a mother and a child. The invention provides an application of active folic acid substances in preparation of food which is taken by a mother and contributes to regulation of intestinal flora of the mother and offspring of the mother; wherein the active folic acid substances are selected from 6S-5-methyltetrahydrofolic acid and salts thereof, the mother is in a gestation period and / or a lactation period, and the offspring is in a fetal period, an infant period and / or a children period. The invention accidentally finds that the active folic acid substances are taken by the mother in the gestation period, so that the intestinal flora of the mother and the offspring can be obviously improved, and the active folic acid substances can promote the increase of beneficial bacteria in the intestinal tracts of the mother in the gestation period and the lactation period and the offspring of the mother and reduce the relative content of conditioned pathogens; furthermore, by adjusting the intestinal flora, the health of nervous systems of the mother and the offspring of the mother can be maintained through the intestinal brain axis.

The invention discloses a quality grade and risk identification acquisition method for a prenatal ultrasound key anatomical structure. The method comprises the following steps: firstly, automatically identifying a standard section of a fetus and carrying out pixel-level segmentation on the key anatomical structure; on the basis, indexes such as visibility, orientation consistency and boundary integrity are extracted, a comprehensive quality score is calculated, and corresponding quality grades and risk identifiers are output according to threshold rules, so that an objective, consistent and traceable quality evaluation closed loop is formed, segmentation results are structured into quantitative indexes and graded alarms, and the quality evaluation accuracy is improved. The system can realize automatic evaluation and risk prompt of the standard section quality on the premise of not changing the existing clinical process, and improves the quality control efficiency and consistency.

The invention provides methods for non-invasive prenatal testing that allow for detecting risk of chromosomal and subchromosomal abnormalities, including but not limited to aneuploidies, microdeletions and microduplications, insertions, translocations, inversions and small-size mutations including point mutations and mutational signatures. The methods of the invention utilize a pool of TArget Capture Sequences (TACS) to enrich for sequences of interest in a mixed sample containing both maternal and fetal DNA, followed by massive parallel sequencing and statistical analysis of the enriched population to thereby detect the risk of a genetic abnormality in the fetal DNA. Kits for carrying out the methods of the invention are also provided.

The generation of complex organ tissues from human embryonic and pluripotent stem cells (PSCs) remains a major challenge for translational studies. It is shown that PSCs can be directed to differentiate into intestinal tissue in vitro by modulating the combinatorial activities of several signaling pathways in a step-wise fashion, effectively recapitulating in vivo fetal intestinal development. The resulting intestinal “organoids” were three-dimensional structures consisting of a polarized, columnar epithelium surrounded by mesenchyme that included a smooth muscle-like layer. The epithelium was patterned into crypt-like SOX9-positive proliferative zones and villus-like structures with all of the major functional cell types of the intestine. The culture system is used to demonstrate that expression of NEUROG3, a pro-endocrine transcription factor mutated in enteric anendocrinosis is sufficient to promote differentiation towards the enteroendocrine cell lineage. In conclusion, PSC-derived human intestinal tissue should allow for unprecedented studies of human intestinal development, homeostasis and disease.

The invention provides methods for assessment of fetal DNA samples using target-enriched multiplexed parallel analysis. The methods of the invention utilize TArget Capture Sequences (TACS) to thereby enrich for target sequences of interest, followed by massive parallel sequencing and statistical analysis of the enriched population. The methods can be used with fetal or embryonic DNA samples, for example for detection of the presence of genetic abnormalities, e.g., for purposes of IVF Pre-implantation Genetic Screening (PGS) and Diagnosis (PGD). Kits for carrying out the methods of the invention are also provided.

Provided herein are computer-implemented methods for assigning maternal or fetal origin to one or more genetic variations in cell-free DNA (cfDNA) of a sample from a pregnant mammal, preferably a pregnant human, it uses a probabilistic model for assigning maternal or fetal origin to genetic variations in DNA from a sample obtained from a pregnant mammal, where the model assigns maternal or fetal origin based on a combination of fetal fraction and DNA fragment size.

The invention relates to the field of image processing, in particular to a fetal hydrocephalus three-dimensional reconstruction and operation planning method based on multiple modalities, which comprises the following steps: obtaining key points and ventricular postures in a three-dimensional point cloud during each three-dimensional reconstruction, predicting the ventricular postures during the next three-dimensional reconstruction, and obtaining prediction residual errors; historical three-dimensional reconstruction key points are clustered based on prediction residual errors to obtain all categories, and when three-dimensional reconstruction is carried out again, the obtained three-dimensional point clouds are further deleted and added based on the categories. According to the invention, errors in a matching fusion process and errors in a prediction process during three-dimensional reconstruction are avoided, and the accuracy of a three-dimensional reconstruction result is improved.

The application relates to the technical field of data management control, and particularly discloses a data management control method and system based on a maternal and infant one-stop learning cloud platform, which comprises the following steps: based on real-time collected maternal and infant physiological data, maternal and infant historical health records and user learning behavior data, a multi-modal maternal and infant user portrait containing dynamic health state labels and dynamic learning ability labels is constructed; based on multi-modal maternal and infant user portraits of all maternal and infant users, multi-dimensional health horizontal comparison factors of pregnant women and fetuses or infants in each maternal and infant user under each division attribute and each division level are determined, and maternal and infant health deviations of each maternal and infant user are analyzed; based on the multi-dimensional health horizontal comparison factors of the pregnant women and the fetuses or the infants in each maternal and infant user under each division attribute and each division level and the maternal and infant health deviations, intelligent adaptation of multiple services is driven; and a closed loop from health deviation to education content, health plan and deviation improvement is formed.

Disclosed herein is deuterated buprenorphine as a protective agent for fetal subjects against full-agonist opioid exposure. Use of deuterated buprenorphine prevents or reduces exposure of the fetus to opioids used by the mother. Use of deuterated buprenorphine may prevent or reduces exposure of the fetus to harmful metabolites of buprenorphine.

The application provides a fetal posture evaluation method, an ultrasonic imaging method and an ultrasonic imaging system. The fetal posture evaluation method comprises the following steps: acquiring three-dimensional ultrasonic data of an early-pregnancy fetus; acquiring a head region and a body region of the early-pregnancy fetus in the three-dimensional ultrasonic data; evaluating a posture of the early-pregnancy fetus based on a relative positional relationship between the head region and the body region of the early-pregnancy fetus, to obtain a posture evaluation result; and displaying the posture evaluation result. The method can facilitate a doctor to observe the posture of the fetus and quickly learn whether the posture of the early-pregnancy fetus is in a natural posture.

The present disclosure provides compositions and methods for inducing an immune response in a fetus or newborn. In particular, the disclosure provides compositions and methods for transamniotic administration of a polynucleotide encoding a pathogen antigen.

A wearable birthing simulator and method of operating thereof are disclosed. The simulator includes a housing that is securable to a subject and the housing defines an opening. Positioned within the housing is a uterus simulator and a removable fetal model contained therein. Coupled to the uterus simulator is a birth canal simulator. A birthing device comprises an actuator assembly in communication with the controller for automatically moving the fetal model towards the birth canal simulator. One or more sensors are mounted to the housing and are electrically connected to the controller for detecting movement of the fetal model by the birthing device. The feedback device is configured to provide the haptic feedback to the subject in response the movement of the fetal model toward the birth canal simulator. The disclosed simulator may be used to simulate a variety of childbirth scenarios.

The present application relates to devices for monitoring pregnancy or labor. In one embodiment, the device includes an electromyography (EMG) sensor having two or more EMG electrodes that monitor fetal or maternal activity during pregnancy or labor, and one or more position sensors that monitor the relative positioning of the two or more EMG electrodes during fetal or maternal activity. In one embodiment, the device includes a monitoring apparatus that is placed on a body and has a plurality of sensors integrated into the monitoring apparatus, the plurality of sensors including at least a first sensor configured to detect a first type of signal from the body indicative of a first type of fetal or maternal activity during pregnancy or labor, and a second sensor configured to detect a second type of signal from the body different from the first type of signal also indicative of the first type of fetal or maternal activity during pregnancy or labor.

The invention discloses an obstetrical pregnant woman antenatal nursing exercise device in the technical field of obstetrical nursing exercise, comprising a base, a back support assembly, a seat assembly and a leg support assembly are fixedly connected to the base in sequence, a lifting assembly is fixedly connected to the tail of the leg support assembly, a controller is detachably connected to one side of the seat assembly, and the lifting assembly is fixedly connected to the other side of the seat assembly. Piston cylinders are fixedly connected to the two sides of the base, clamping blocks and hanging rings are fixedly connected to the tops of pistons of the piston cylinders, the side walls of the tops of the piston cylinders communicate with the back supporting assembly, linkage ropes are fixedly connected to the centers of the bottoms of the pistons, and the linkage ropes penetrate through the limiting sliding pieces and are fixedly connected with the lifting assembly. The device is novel and practical, the piston and the linkage rope are pulled through leg movement of a pregnant woman to inflate the protection air bag to protect the abdomen of the pregnant woman, meanwhile, the arc-shaped piece is pulled to ascend to serve as a foot support during exhaustion, toppling caused by unstable side lying is buffered, the pelvic floor muscle exercising effect is improved, and meanwhile the safety of the pregnant woman and a fetus is protected.

The present invention relates to the field of biotechnology and relates to a hydatidiform mole genetic typing detection system, kit, and application. The composite amplification system includes 20 pairs of primers capable of simultaneously amplifying 20 genomic loci, and the primer sequences for each of the 20 loci are disclosed. The kit incorporates a UDG enzyme anti-contamination system to digest any amplification products containing uracil prior to PCR amplification, thereby preventing product contamination. These loci possess high individual recognition power and high polymorphic information content, enabling effective and accurate detection of STR polymorphisms, detection of maternal and fetal loci typing, and, through comparison, determination of fetal hydatidiform mole status.

This invention discloses a method for paternity testing using homozygous loci, belonging to the field of paternity testing technology. The method includes: S101: sequencing the pregnant woman's cell-free DNA sample S and the father's DNA sample F, and genotyping S and F based on sequencing depth; S102: calculating the inefficiency P of the two samples based on the genotyping results. 无 or inefficient P 无 With efficiency P 有 The ratio is used to perform paternity testing; the effectiveness P 有 The effective loci represent the proportion of the homozygous loci in the set X of opposite homozygous loci. Effective loci are those in S that conform to the set X of opposite homozygous loci and can detect fetal signals. Loci in S and F are selected according to Formula I to form the set X of opposite homozygous loci; inefficiency P 无 The percentage of invalid loci in the same homozygous locus set X' is defined as the proportion of invalid loci in S that conform to the same homozygous locus set X' and can detect fetal signals. Loci in S and F are selected according to Formula II to form the same homozygous locus set X'.

The invention provides a data processing method, medical equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a target gestational week stage of a target fetus, and determining a plurality of disease categories corresponding to the target gestational week stage in a disease category database based on the target gestational week stage; acquiring disease characterization information of the target fetus, wherein the disease characterization information comprises one or more of a target section image and a disease description text of the target fetus; and for each disease category corresponding to the target gestational week stage, based on the disease characterization information of the target fetus, calculating the disease probability that the target fetus suffers from the disease of the disease category. And based on each disease probability, determining a final disease category in a plurality of disease categories corresponding to the target gestational week stage, and outputting a standard disease name corresponding to the final disease category. According to the invention, the realization difficulty of subsequent medical data statistics can be reduced.

The invention provides a method for judging a sib relationship through DNA of a born child and cfDNA of a fetus, and belongs to the technical field of biological identification. According to the non-invasive prenatal sib relation identification method, the risk of traditional invasive detection on pregnant women and fetuses is remarkably reduced, meanwhile, through a high-sensitivity genetic information analysis technology, the problems of maternal DNA interference and low fetal free DNA concentration are effectively solved, and the non-invasive prenatal sib relation identification method is suitable for clinical application. And high-reliability determination of the genetic relationship between the fetus and the born child under a non-invasive condition is realized. The method not only provides a scientific basis for confirming the complex family relationship, but also can be extensively applied to the fields of legal identification and medical assisted reproduction, fills the blank of non-invasive antenatal sib relationship identification in the prior art, and has wide social value and industrialization potential.

Examples described herein provide a computer-implemented method that includes receiving a non-invasive transabdominal fetal electroencephalogram (TA-fEEG) signal associated with a pregnant subject. The method further includes using the first machine learning model to reduce unwanted noise in the TA-fEEG signal. The method further includes reconstructing a fetal electroencephalogram (fEEG) signal from the TA-fEEG signal using a second machine learning model.

A method for detecting fetal CNVs through non-invasive prenatal testing, comprising steps: (a) collecting blood samples from pregnant women; (b) extracting cfDNA fragments from the blood samples, performing whole genome sequencing on extracted cfDNA fragments to obtain cfDNA sequencing data, and preprocessing cfDNA sequencing data by removing adapters, aligning and mapping reads to a referenced human genome; (c) performing quality control on obtained cfDNA sequencing data for being accepted for the prediction; (d) dividing referenced genome into a plurality of non-overlapping bins and filtering the bins based on a predetermined GC-content threshold for bins; (e) defining a CNV detection window, a bin size, a set of features for machine learning / deep learning models and fine-tune model for detecting fetal CNV for selecting a final model; and (f) applying the final model to predict fetal CNVs, including microdeletion syndromes, or microduplications, or aneuploidies, or the number of sex chromosomes.

The invention provides a TRPM8 protein mutant and application thereof, relative to an amino acid sequence of a wild type TRPM8 protein, the TRPM8 protein mutant comprises mutation at one or more positions selected from the 825th site, the 864th site, the 891th site, the 897th site, the 915th site, the 917th site, the 925th site, the 927th site, the 928th site, the 932th site, the 945th site, the 946th site and the 948th site. The invention also provides a separated nucleic acid which is used for coding the TRPM8 protein mutant. The invention also provides a vector containing the isolated nucleic acid and a genetically recombinant porcine fetal fibroblast. According to the invention, a key site which can effectively reduce the cold activation level of the pig TRPM8 without influencing other activation functions is screened, and a new material is provided for animal breeding improvement.