The emergence of single-cell sequencing technology enables people to observe cells with unprecedented precision. However, it is difficult to capture the information on all cells and genes in one single-cell RNA sequencing (scRNA-seq) experiment. Single-cell data of a single modality cannot explain cell state and system changes in detail. The integrative analysis of single-cell data aims to address these two types of problems. Integrating multiple scRNA-seq data can collect complete cell types and provide a powerful boost for the construction of cell atlases. Integrating single-cell multimodal data can be used to study the causal relationship and gene regulation mechanism across modalities. The development and application of data integration methods helps fully explore the richness and relevance of single-cell data and discover meaningful biological changes. Based on this, this article reviews the basic principles, methods and applications of multiple scRNA-seq data integration and single-cell multimodal data integration. Moreover, the advantages and disadvantages of existing methods are discussed. Finally, the future development is prospected.
Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model—calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Objective
To carry out the systematic clinical management to reduce the incidence of femoral pseudoaneurysm after interventional treatment.
Methods
A historical controlled study was used to compare the management effect before (from October 2012 to October 2013) and after (from March 2014 to March 2015) the application of doctor-nurse integrated systematic clinical management mode. This work mode enhanced cooperation between doctors and nurses, formed the clinical path for nursing workflows and contingency plans, and strengthened specialized education and training for nurses.
Results
After the implementation of systematic clinical management, the incidence of femoral pseudoaneurysm was significantly lower than before (1.0% vs. 2.7%), and the difference was statistically significant (P<0.05).
Conclusions
The systematic clinical management, carrying out in the doctor-nurse integration mode, can improve the quality of nursing and reduce the incidence of femoral pseudoaneurysm. And the management model has achieved remarkable results. So it is worth to be applied in the clinical practices.
Objective To analyze the distribution of stress in the upper and lower plates of the prosthesis-bone interface, and the effect of interface pressure on osseointegration. Methods CT scanning was performed on goats at 1 week after artificial cervical disc replacement to establish the finite element model of C3, 4. The stress distribution of the upper and lower plates of the interface was observed. At 6 and 12 months after replacement, Micro-CT scan and three dimensional reconstruction were performed to measure the bone volume fraction (BVF), trabecular number (Tb. N), trabecular thickness (Tb. Th), trabecular separation (Tb. Sp), bone mineral density (BMD), bone surface/bone volume (BS/BV), and trabecular pattern factor (Tb. Pf). The C3 lower plate and C4 upper plate of 4 normal goat were chosen to made the cylinder of the diameter of 2 mm. The gene expressions of receptor activator for nuclear factor κB ligand (RANKL), osteoprotegerin (OPG), transforming growth factor β (TGF-β), and macrophage colony-stimulating factor (M-CSF) were detected by real time fluorescent quantitative PCR at immediate after cutting and at 24 and 48 hours after culture. The samples of appropriate culture time were selected to made mechanical loading, and the gene expressions of RANKL, OPG, M-CSF, and TGF-β were detected by real time fluorescent quantitative PCR; no mechanical loading samples were used as normal controls. Results Under 25 N axial loading, the stress of the upper plate of C3, 4 was concentrated to post median region, and the stress of the lower plate to middle-front region and two orbits. According to stress, the plate was divided into 5 regions. The Micro-CT scan showed that BMD, Tb.Th, BVF, and Tb.N significantly increased, and BS/BV, Tb.Sp, and Tb.Pf significantly decreased at 12 months after replacement when compared with ones at 6 months (P<0.05). At 24 and 48 hours after culture, the gene expressions of RANKL, OPG, and TGF-β were signifi-cantly higher than those at immediate (P<0.05), but no significant difference was found between at 24 and 48 hours after culture (P>0.05). The mechanical loading test results at 24 hours after culture showed that the RANKL and OPG gene expressions and OPG/RANKL ratio in C3 lower plate and C4 upper plate were significantly up-regulated when compared with controls (P<0.05), but no significant difference was shown in TGF-β and M-CSF gene expressions (P>0.05). Conclusion Domestic artificial cervical disc endplate has different pressure distribution, the stress of lower plate is higher than that of upper plate. Pressure has important effect on local osseointegration; the higher pressure area is, the osseointegration is better. Under the maximum pressure in interface, the osteoblast proliferation will increase, which is advantageous to the local osseointegration.
Clinical efficacy evaluation is important for the development of traditional Chinese medicine (TCM). In view of the existing accumulation and current situation of the TCM clinical efficacy evaluation, based on the international perspective, and taking the rational and objective evaluation of TCM clinical efficacy and safety as the foundation, in order to enhance TCM evidence level to support clinical decision-making and promote TCM industry and TCM internationalization development, the State Administration of TCM entrusted China Academy of Chinese Medical Sciences to establish China Center for Evidence Based Traditional Chinese Medicine (CCEBTCM). CCEBTCM is expected to optimize the allocation of evidence-based research resources in TCM field to further integrate advantages of evidence-based TCM research teams, promote consensus on evidence-based TCM standards, share evidence-based TCM data or information and lead cultural exchanges between Chinese and overseas. In this way, the status and influence of TCM in the world will be enhanced so that it can better serve global health.
To address issues such as loss of detailed information, blurred target boundaries, and unclear structural hierarchy in medical image fusion, this paper proposes an adaptive feature medical image fusion network based on a full-scale diffusion model. First, a region-level feature map is generated using a kernel-based saliency map to enhance local features and boundary details. Then, a full-scale diffusion feature extraction network is employed for global feature extraction, alongside a multi-scale denoising U-shaped network designed to fully capture cross-layer information. A multi-scale feature integration module is introduced to reinforce texture details and structural information extracted by the encoder. Finally, an adaptive fusion scheme is applied to progressively fuse region-level features, global features, and source images layer by layer, enhancing the preservation of detail information. To validate the effectiveness of the proposed method, this paper validates the proposed model on the publicly available Harvard dataset and an abdominal dataset. By comparing with nine other representative image fusion methods, the proposed approach achieved improvements across seven evaluation metrics. The results demonstrate that the proposed method effectively extracts both global and local features of medical images, enhances texture details and target boundary clarity, and generates fusion image with high contrast and rich information, providing more reliable support for subsequent clinical diagnosis.
The comprehensive clinical evaluation of drugs is fundamental work that promotes drugs return to clinical value and it has become one of the most important areas of clinical pharmacy in recent years. The existing literature focuses on the construction of comprehensive clinical evaluation index system or the quantification of index values. However, relatively few studies concerning the value integration method, which may lead to the suboptimal scheme being selected as the optimal scheme. Therefore, this study summarizes various comprehensive value integration methods from the aspects of background, principles and applicable situations, to provide methodological references for comprehensive clinical evaluation in China.
The prevalence of developmental delay (DD) in children worldwide is still on the rise, and its causes are complex and diverse, causing varying degrees of impact on the development of the sensory nervous system in the brain of children. Sensory integration training is a treatment method that applies sensory stimulation and comprehensive activities. It is currently widely used in children with DD. This therapy can effectively improve the development and integration of the sensory system in children with DD. It also enhances the individual’s ability to adapt to external stimuli, promoting their development in language, motor, and cognitive functions. This article explores the relevant mechanisms of sensory integration training and DD, as well as the current status and effects of its application in DD children, in order to promote the development and progress of related research fields.
Objective To systematically review the current situation, dilemmas and countermeasures of the regulation of health care integration services in China, and provide reference for the research on the regulation of health care integration services in China. Methods Studies and policies on the regulation of health care integration services were systematically searched from the inception of the databases to October 2022, and the included studies and policies were coded and analyzed by using the qualitative analysis software NVivo12. Results A total of 12 research articles and 15 policy announcements were included. The theoretical framework, regulatory dilemmas and regulatory countermeasures for the regulation of health care integration services were obtained through open coding, axial coding and selective coding. The regulatory framework of health care integration services was divided into five aspects: regulatory basis, regulatory subject, regulatory object, regulatory content and regulatory methods. The lack of regulatory basis led to dilemmas in the remaining aspects accordingly. Conclusion The regulation of health care integration services needs to start from the regulatory basis, introduce and improve the health care integration laws and policies, and gradually form a health care integration service regulatory model with institutional self-regulation as the priority, government regulation as the main body, and the public, third parties and other social regulation as the auxiliary.
With the continuous development of new drugs and immunotherapy, the survival period of patient with multiple myeloma (MM) is continuously prolonged, and the disease is becoming chronic. Due to the involvement of multiple systems and numerous complications, the daily nursing for MM faces significant challenges. The doctor-nurse-patient integration model and the whole life cycle health management model for daily nursing of MM are expected to reduce the social burden related to diseases, improve patients’ quality of life, and reduce medical costs. This article provides a review on three aspects of MM doctor-nurse-patient integration, whole life cycle health management, and daily health management involving multiple systems.
