In order to promote the openness, transparency and standardization of clinical trials, improve the scientific and reliability of results, and reserve the manpower, material, and financial resources in the process of clinical trials, this study constructed an integrated intelligent management platform for clinical trials, which could carry out various types of clinical trials such as randomized controlled trials, non-randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies simultaneously. The platform covers the whole process of scheme design, recruitment, follow-up, data analysis, and quality control. This paper mainly introduced the practical needs, design concept, basic framework and technical highlights to provide auxiliary tools for promoting the standardization and intelligence of clinical trials with energy saving and optimal efficiency.
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 review the basical research progress of porous tantalum in bone tissue engineering.
Methods
The related basical research in fabrication, cytobiology, and surface modification of porous tantalum was reviewed and analyzed.
Results
The outstanding physiochemical properties of porous tantalum granted its excellent performance in biocompatibility and osteointegration, as well as promoting cartilage and tendon tissue restoration. However, the clinical utilization of porous tantalum is somehow greatly limited by the complex and rigid commercial fabrication methods and extraordinary high cost. Along with the publication of novel fabrication and surface modification technology, the application of porous tantalum will be more extensive, the promotion in bone tissue regeneration will be more prominent.
Conclusion
Porous tantalum has advantage in bone defect restoration, and significant breakthrough technology is needed in fabrication methods and surface modification.
As a temporary skin substitute, the dressings can protect the wound, stop bleeding, prevent infection and contribute to wound healing. According to the characteristics of the materials, wound dressings can be classified into traditional wound dressings, interactive dressings, bioactive dressings, tissue engineering dressings and smart dressings, etc. Different dressings have different characteristics, and some products have been widely used in clinic. Recently nanomaterials and three-dimensional bio-printing technology have significantly improved the performance of wound dressings. Future dressings will be developed from single function to multi-function composite, and integrated into an intelligent one. This paper reviews the current research progress and future development prospects of wound dressings.
Integration of heterogeneous systems is the key to hospital information construction due to complexity of the healthcare environment. Currently, during the process of healthcare information system integration, people participating in integration project usually communicate by free-format document, which impairs the efficiency and adaptability of integration. A method utilizing business process model and notation (BPMN) to model integration requirement and automatically transforming it to executable integration configuration was proposed in this paper. Based on the method, a tool was developed to model integration requirement and transform it to integration configuration. In addition, an integration case in radiology scenario was used to verify the method.
Under the trend of “new medical disciplines leading the innovation of medical education”, in order to solve the difficulties in cultivating medical-engineering talents, such as the lack of a systematic talent cultivation system and integrated teaching staff, the School of Allied Health Sciences, West China School of Medicine of Sichuan University leverages the comprehensive strengths of Sichuan University and joins hands with the School of Mechanical Engineering of Sichuan University to set up a double bachelor’s degree program in Medical Technology and Intelligent Manufacturing, and establish a cultivation mode for medical-engineering compound talents by “integrating science-education teams, developing first-class interdisciplinary platforms, compiling medical engineering textbooks, reshaping teaching methods, and configuring tripartite mentors”. This collaboration aims to form a medical technology education system that meets the development requirements of modern medicine, and to promote the development of medical technology toward digitalization, precision, and informatization. This practice provides a reference for the cultivation of medical-engineering compound talents under the trend of new medical disciplines.
Integrating medical instruments with medical information systems becomes more and more important in healthcare industry. To make medical instruments without standard communication interface possess the capability of interoperating and sharing information with medical information systems, we developed a medical instrument integration gateway based on Integrating the Healthcare Enterprise Patient Care Device (IHE PCD) integration profiles in this research. The core component is an integration engine which is implemented according to integration profiles and Health Level Seven (HL7) messages defined in IHE PCD. Working with instrument specific Javascripts, the engine transforms medical instrument data into HL7 ORU message. This research enables medical instruments to interoperate and exchange medical data with information systems in a standardized way, and is valuable for medical instrument integration, especially for traditional instruments.
In the context of actively coping with aging, China has introduced a series of health care integration policies. Using the advocacy coalition framework theory, this paper aims to analyze the process of health care integration policy changes in China from three dimensions: policy beliefs, external events and policy learning. The policy subsystem of health care integration in China includes two coalitions: top-down cascade promotion and bottom-up absorption and radiation. External events and policy learning triggered policy change, where policy learning included endogenous learning within the coalition and exogenous learning between the coalitions. A policy impasse occurs when the two advocacy coalitions are at odds, and policy brokers and professional forums can get rid of the policy impasse. In the process of policy change in China’s health care integration, the two major advocacy coalitions have reached a certain consensus. It is recommended to alleviate the problems in the integration of health care by strengthening the external factors in the change of health care policy, enhancing the policy learning in the change of health care policy, and making full use of the information resources in the change of health care policy, so as to promote the high-quality development of the integration of health care.
Titanium and its alloys have become one of the most widely used implant materials in orthopedics because of their excellent mechanical properties and biocompatibility. Implant-associated infection is the main reason of failure of orthopedic implant surgery. The anti-infection modification of implant surface has received more attention in the field of infection prevention and developed rapidly. This article focuses on the current research status of simple anti-infection surface modifications that make titanium implants possess anti-adhesion, bactericidal activity or antibacterial membrane activity, as well as the research progress of composite functional surface modifications that promote bone integration, osteogenesis or immunomodulatory effects on the basis of anti-infection, so as to provide references for the construction of orthopedic implants with composite functions.
In meta-analysis, heterogeneity in statistical measures across primary studies can significantly affect the efficiency of data synthesis and the accuracy of result interpretation. Such inconsistencies may introduce bias in effect size estimation and increase the complexity of pooled analyses. Therefore, establishing standardized approaches for data type transformation and harmonizing different statistical measures has become a critical step in ensuring the quality of meta-analyses. To achieve efficient and scientifically rigorous data integration, researchers need to master systematic data transformation techniques and develop standardized processing strategies. Based on this need, this study provides a comprehensive summary of effect size transformation methods in meta-analysis, focusing on standardizing binary and continuous variables. It offers practical guidance to support researchers in applying these methods consistently and accurately.
