To elucidate the expression profiles, methylation states, and clinicopathological significance of the PRDM gene family, focusing on the MECOM gene's role in uterine endometrial cancer (UCEC) and its molecular interactions with the TGF-beta signaling pathway. Our methodology combined detailed bioinformatics analyses using UALCAN and GEPIA with in vitro assessments in HEC-1-A cells. Techniques included CRISPR-Cas9 for gene editing and various cellular assays (CCK-8, flow cytometry, Transwell) to evaluate the effects of MECOM on cell proliferation, migration, and apoptosis, alongside Western blot analysis for protein regulation in the TGF-beta pathway.
View Article and Find Full Text PDFObjective: In this study, the effect of in vitro Fertilization-Embryo Transfer (IVF-ET) on the clinical outcome of patients with syphilis infertility during resuscitation cycle.
Methods: A retrospective single-center method was adopted. This study included 4430 pairs of infertile patients who underwent syphilis detection.
Low-coupling seamless integration of multiple systems is the core foundation of smart radiotherapy. Following Service-Oriented Architecture style, a set of named operations (Eclipse Web Service API, EWSAPI) was developed for realizing network call of Eclipse.Under the guidance of Vertical Slice Architecture, EWSAPI was implemented in the C# language and based on ASP .
View Article and Find Full Text PDFThe ion association behavior in aqueous lanthanum sulfate solutions was investigated using density functional theory (DFT). The structures and properties of [La(SO)·(HO)] clusters, where m = 1 to 3 and n = 1 to 9, were examined at the PBE0/6-311+G(d, p) level. The results show that Lanthanum sulfate hydrated clusters exist in the aqueous solution's microscopic state of contact ion pairs (CIP).
View Article and Find Full Text PDFEndometriosis is a prevalent and recurrent medical condition associated with symptoms such as pelvic discomfort, dysmenorrhea, and reproductive challenges. Furthermore, it has the potential to progress into a malignant state, significantly impacting the quality of life for affected individuals. Despite its significance, there is currently a lack of precise and non-invasive diagnostic techniques for this condition.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
April 2023
This study investigates the effect of low-molecular-weight heparin (LMWH) on cytokines TNF-α, IFN-γ, IL-2, IL-4, IL-6, and IL-10 in peripheral blood of patients with repeated implantation failure during the implantation window. From May 2019 to March 2021, we enrolled 32 patients with recurrent implantation failure (RIF group) and 30 patients with successful pregnancy after the first frozen embryo transfer (control group) in the Reproductive Medicine Centre of Wuxi Maternity and Child Health Care Hospital. During the implantation window, the following features were compared between two groups and between different time points using ELISA: the status of immune cytokines in peripheral blood; Th1 cytokines (TNF-α, IFN-γ, and IL-2) and Th2 cytokines (IL-4, IL-6, and IL-10) in peripheral blood.
View Article and Find Full Text PDFTopoisomerase II homologue 2 () has been confirmed to be a key gene that contributes to oocyte maturation. However, the allele distribution and carrier frequency of these mutations remain uncharacterized. So a bioinformatics subcategory analysis of mutations from outcome data and Single Nucleotide Polymorphism (SNP) databases was conducted.
View Article and Find Full Text PDFZhongguo Yi Liao Qi Xie Za Zhi
February 2023
Objective: The Python research environment for radiation therapy (PyRERT) is a set of business software for hospital physicists to conduct radiation therapy research.
Methods: Choose the open source Enthought Tool Suite(ETS) as the core external dependency library of PyRERT. PyRERT is divided into base layer, content layer and interaction layer, and each layer is composed of different functional modules.
Front Public Health
March 2023
Recent years have seen remarkable progress of learning-based methods on Ultrasound Thyroid Nodules segmentation. However, with very limited annotations, the multi-site training data from different domains makes the task remain challenging. Due to domain shift, the existing methods cannot be well generalized to the out-of-set data, which limits the practical application of deep learning in the field of medical imaging.
View Article and Find Full Text PDFTo investigate the pass rate limit of plan verification equipment for volumetric modulated arc therapy (VMAT) plan verification and its sensitivity on the opening and closing errors of multi-leaf collimator (MLC), 50 cases of nasopharyngeal carcinoma VMAT plan with clockwise and counterclockwise full arcs were randomly selected. Eight kinds of MLC opening and closing errors were introduced in 10 cases of them, and 80 plans with errors were generated. Firstly, the plan verification was conducted in the form of field-by-field measurement and true composite measurement.
View Article and Find Full Text PDFTo compare the sensitivity of ArcCHECK (AC), portal dosimetry (PD), and an in-house logfile-based system (LF) to multileaf collimators (MLC) aperture errors and the ability to identify these errors. For 12 retrospective original head and neck volumetric modulated arc therapy (VMAT) plans, MLC aperture errors of ± 0.4mm, ± 1.
View Article and Find Full Text PDFAutomated severity assessment of coronavirus disease 2019 (COVID-19) patients can help rationally allocate medical resources and improve patients' survival rates. The existing methods conduct severity assessment tasks mainly on a unitary modal and single view, which is appropriate to exclude potential interactive information. To tackle the problem, in this paper, we propose a multi-view multi-modal model to automatically assess the severity of COVID-19 patients based on deep learning.
View Article and Find Full Text PDFGesture recognition through surface electromyography (sEMG) provides a new method for the control algorithm of bionic limbs, which is a promising technology in the field of human-computer interaction. However, subject specificity of sEMG along with the offset of the electrode makes it challenging to develop a model that can quickly adapt to new subjects. In view of this, we introduce a new deep neural network called CSAC-Net.
View Article and Find Full Text PDFAutomated segmentation and evaluation of carotid plaques ultrasound images is of great significance for the diagnosis and early intervention of high-risk groups of cardiovascular and cerebrovascular diseases. However, it remains challenging to develop such solutions due to the relatively low quality of ultrasound images and heterogenous characteristics of carotid plaques. To address those problems, in this paper, we propose a novel deep convolutional neural network, FRDD-Net, with an encoder-decoder architecture to automatically segment carotid plaques.
View Article and Find Full Text PDFSensors (Basel)
November 2021
Semantic segmentation, as a pixel-level recognition task, has been widely used in a variety of practical scenes. Most of the existing methods try to improve the performance of the network by fusing the information of high and low layers. This kind of simple concatenation or element-wise addition will lead to the problem of unbalanced fusion and low utilization of inter-level features.
View Article and Find Full Text PDF3D object detection in LiDAR point clouds has been extensively used in autonomous driving, intelligent robotics, and augmented reality. Although the one-stage 3D detector has satisfactory training and inference speed, there are still some performance problems due to insufficient utilization of bird's eye view (BEV) information. In this paper, a new backbone network is proposed to complete the cross-layer fusion of multi-scale BEV feature maps, which makes full use of various information for detection.
View Article and Find Full Text PDFSpatiotemporal graph convolution has made significant progress in skeleton-based action recognition in recent years. Most of the existing graph convolution methods take all the joints of the human skeleton as the overall modeling graph, ignoring the differences in the movement patterns of various parts of the human, and cannot well connect the relationship between the different parts of the human skeleton. To capture the unique features of different parts of human skeleton data and the correlation of different parts, we propose two new graph convolution methods: the whole graph convolution network (WGCN) and the part graph convolution network (PGCN).
View Article and Find Full Text PDFThree-dimensional object detection from point cloud data is becoming more and more significant, especially for autonomous driving applications. However, it is difficult for lidar to obtain the complete structure of an object in a real scene due to its scanning characteristics. Although the existing methods have made great progress, most of them ignore the prior information of object structure, such as symmetry.
View Article and Find Full Text PDFTelemedicine is considered to be an important approach for medical education in rural areas. Due to a significant shortage of radiation oncologists in rural areas of Sichuan Province in China, a tele-radiotherapy system has been designed and developed for training radiation oncologists in the Sichuan Cancer Hospital and Research Institute. The whole process of the radiotherapy teaching platform was designed and established in the tele-radiotherapy system.
View Article and Find Full Text PDFComput Math Methods Med
November 2019
This study reviews the technique of convolutional neural network (CNN) applied in a specific field of mammographic breast cancer diagnosis (MBCD). It aims to provide several clues on how to use CNN for related tasks. MBCD is a long-standing problem, and massive computer-aided diagnosis models have been proposed.
View Article and Find Full Text PDFTelemed J E Health
February 2020
The medical alliance and telemedicine are considered to be important means to solve the imbalance between regions and shortage of professionals and promote the homogenization of medical services. Sichuan Provincial People's Hospital Group (SPPHG) is a network of hospitals with different levels of expertise, and all the members with radiotherapy form a radiotherapy network (RTN). Addressing the inadequacy and imbalance of radiotherapy services of Sichuan Province, China, a tele-radiotherapy system for RTN-SPPHG is designed, which includes the business model and corresponding technical implementation of an information system.
View Article and Find Full Text PDFTelemedicine technology is a means of deploying medical resources with low cost and high efficiency. A set of remote radiotherapy system based on Citrix was designed in this paper, so that the senior radiation therapists from the developed areas can provide medical services effectively for the patients in the rural areas. This paper focused on the design ideas and the detail of the technical implementation of how to design a remote radiotherapy system based on the existing equipment in the primary hospital.
View Article and Find Full Text PDFZhongguo Yi Liao Qi Xie Za Zhi
July 2017
In order to digitize the radiotherapy quality control data, convenient to carry on the dynamic quantitative analysis to the equipment condition, this paper presents a low-cost open radiotherapy quality control platform based on REDCap. The platform uses the REDCap data acquisition system as a carrier to achieve the digital storage of this data, anytime, anywhere data entry, and can be easily derived for data analysis by creating REDCap research projects and inputting radiotherapy quality control data. It is proved that REDCap can be used in the construction of radiotherapy quality control platform.
View Article and Find Full Text PDFZhongguo Yi Liao Qi Xie Za Zhi
September 2017
To develop a low-cost private cloud platform of radiotherapy software. First, a private cloud platform which was based on OpenStack and the virtual GPU hardware was builded. Then on the private cloud platform, all the Varian radiotherapy software modules were installed to the virtual machine, and the corresponding function configuration was completed.
View Article and Find Full Text PDFZhongguo Yi Liao Qi Xie Za Zhi
November 2017
A software platform integrated of radiation treatment planning system and navigation system has been developed for a newly-developed snake robot. This platform is developed in a module-plugin form based on 3D Slicer medical image visualization and analysis application platform and an open-source toolkit SlicerRT. The platform realized function modules of image access and visualization, image segmentation, radiation path planning, treatment planning evaluation and optical navigation, and has provided the snake robot an extensible software experiment platform.
View Article and Find Full Text PDF