A5037491503- Ovarian function and disorders
- Reproductive Biology and Fertility
- Preterm Birth and Chorioamnionitis
- 3D Printing in Biomedical Research
- Pregnancy and preeclampsia studies
- Neural Networks and Applications
- Smart Systems and Machine Learning
- Reproductive System and Pregnancy
- Circular RNAs in diseases
- Periodontal Regeneration and Treatments
- AI in cancer detection
- Bone Tissue Engineering Materials
- MicroRNA in disease regulation
- Artificial Intelligence in Healthcare and Education
- Machine Learning and ELM
- Urologic and reproductive health conditions
- Assisted Reproductive Technology and Twin Pregnancy
- Sexual function and dysfunction studies
- Hydrogels: synthesis, properties, applications
- Water Quality Monitoring Technologies
- Maternal and fetal healthcare
Qingdao University
2022-2025
Qingdao Women and Children's Hospital
2024-2025
Qujiang People's Hospital
2024
Deep belief network (DBN) is an effective deep learning model, which can learn the complex data by extracting features hierarchically. However, successful application of DBN depends on suitable size structure (the number hidden neurons), still open problem. Currently, basically determined experience with a time-consuming process. In this article, complexity-based structural optimization (CBSO) algorithm, based multiobjective ordinal (MOO), developed for designing structure. First, problem...
Infertility, as a major human reproductive health problem, affects approximately 17.5% of the global population. The emergence assisted technology, particularly in vitro fertilization (IVF), has resolved challenges most infertile couples. In IVF, there exists group women who are unable to retrieve oocytes from typically developing follicles despite positive response ovarian stimulation, condition clinically referred empty follicle syndrome (EFS). pathogenesis EFS is still unclear, but...
Aim In this study, we established a model based on XGBoost to predict the risk of missed abortion in patients treated with vitro fertilization-embryo transfer (IVF-ET), evaluated its prediction ability, and compared traditional logical regression model. Methods We retrospectively collected clinical data 1,017 infertile women IVF-ET. The independent factors were screened by performing univariate analysis binary logistic analysis, then, all cases randomly divided into training set test 7:3...
Abstract Platelet‐rich plasma (PRP) intrauterine infusion has been demonstrated to be effective in treating thin endometrium and achieving pregnancy. However, the rapid release of growth factors limits its effectiveness clinical applications, thus, multiple infusions are often required achieve therapeutic efficacy. In this study, a GelMA hydrogel microsphere biomaterial is developed using droplet microfluidics modify delivery mode PRP thus prolong duration action. Its biocompatibility...
Introduction Intrauterine transfusion of platelet-rich plasma (PRP) has become a new treatment for thin endometrium (TE) in recent years, but its low efficacy due to rapid release growth factors limits clinical use. Platelet-rich fibrin (PRF) starts the coagulation cascade reaction immediately after blood comes into contact with test tube. The natural process results stable platelet activation and slow factors. Methods In our study, primary human endometrial stromal cells (hESCs) were...
To establish a model for predicting adverse outcomes in advanced-age pregnant women with preterm preeclampsia China.We retrospectively collected the medical records of 896 who were older than 35 years and delivered at Affiliated Hospital Qingdao University from June 2018 to December 2020. The divided into an outcome group non-adverse according occurrence outcomes. data training set verification ratio 8:2. A nomogram was developed binary logistic regression created predict preeclampsia. ROC...
Abstract Aim: To establish a model based on XGBoost to predict the risk of missed abortion in patients treated with vitro fertilization-embryo transfer (IVF-ET), evaluate its prediction ability, and compare traditional logical regression model. Methods: The clinical data 1017 infertile women IVF-ET were collected retrospectively. independent factors screened by Univariate analysis binary logistic analysis, then all cases randomly divided into training set test according proportion 7:3 for...