4 results about "Preterm Births" patented technology

This invention relates to a group of genes associated with preterm birth, methods for predicting preterm birth in early pregnancy using these genes, and their related applications. Specifically, this invention obtains transcript start site features from at least one of the following genes from the pregnant woman's cfDNA sample: TEX2, WNK1, LINC00970, LOC124900437, IGFL4, LOC105376571, LOC105376577, SERPINB10, LOC642554, and SLC26A7. These transcript start site features are then input into a prediction model, and the output results are used to determine the risk of preterm birth. The prediction model obtained by this invention has higher accuracy than existing models, providing more accurate clinical intervention guidance and reducing medical costs.

Provided are methods of predicting the likelihood of preterm birth (PTB) or early preterm birth (ePTB) for a subject. The methods comprise performing 16S rRNA gene sequencing on vaginal fluid sample DNA to obtain vaginal microbiome 16S rRNA gene sequencing data, and harmonizing the vaginal microbiome 16S rRNA gene sequencing data. The methods further comprise transforming the harmonized vaginal microbiome 16S rRNA gene sequencing data into vaginal microbiome features, inputting the vaginal microbiome features into a predictive model, and predicting, using the predictive model, the likelihood of PTB or ePTB for the subject from whom the vaginal fluid sample was obtained. Computer readable media and systems that find use in practicing the methods of the present disclosure are also provided.

The present application relates to the field of medical data analysis, and more particularly to a method for dynamically predicting the risk of pre-eclampsia premature birth based on monitoring indicators during pregnancy, which comprises: obtaining an individual measured time series set and a basic time weighted average feature; obtaining a recent transient decompensation momentum factor by performing recent deterioration dynamics analysis on monitoring data near the current evaluation time; obtaining a steady-state fracture and barrier breakdown factor by jointly evaluating the evolution trend and fluctuation potential of the historical monitoring sequence; obtaining a reconstructed fusion feature vector by fusing and reconstructing the basic time weighted average feature and the steady-state fracture and barrier breakdown factor; and obtaining a dynamic prediction result of the risk of premature birth by inputting the reconstructed fusion feature vector into a Cox proportional hazards model for risk prediction, thereby solving the problem that the existing prediction method based on time weighted average and linear feature fusion cannot effectively identify recent decompensation deterioration signals and maternal-fetal state deviation risks.

A system for providing information for diagnosing preterm birth risk includes: two or more transmit electrodes, contacting cervical tissues, for applying a plurality of first signals at different frequencies to the cervical tissues, two or more detect electrodes, contacting the cervical tissues, for detecting a plurality of second signals generated in response to the first signals, the second signals corresponding to the first signals, and a source configured to generate a plurality of signals. The system obtains a plurality of impedances of the cervical tissues based on the first and the second signals and applies data quality requirements for diagnosing the preterm birth risk. The data quality requirements include checking at least one of signal generation, signal reception, impedance calculation, quality of the first signals, quality of the second signals, and the impedances. The system includes a diagnosis engine configured to receive data including impedances that satisfy the data quality requirements, classify the data into different groups, each representing different status, based on correlation between the data, patient's information and the preterm birth risk, and output information for diagnosing the preterm birth risk.