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Browse 47,334 clinical trials for rheumatoid arthritis. Find studies that match your criteria and connect with research centers.
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NCT07269535
In our previous study, based on the multi-center clinical big data collected from January 2012 to January 2025, we have completed the construction of a multimodal early warning model for the malignant transformation of uterine fibroids. The model was mainly based on T2WI and DWI sequences, and was trained and optimized by support vector machine (SVM) algorithm. In the retrospective study and internal validation, the model shows high sensitivity and specificity, which preliminarily proves that it has good application potential in identifying high-risk groups and predicting the risk of malignant transformation of uterine fibroids. However, there are still some limitations in retrospective studies and internal validation results, and its application value, universality and stability in real clinical environment have not been fully verified. Therefore, we plan to conduct a prospective validation study in consecutive patients enrolled after January 2025 to evaluate the clinical performance and generalization of the model in predicting the malignant tendency or risk of malignant transformation of uterine fibroids through practical application in the real population, and further analyze the operability in the actual diagnosis and treatment process and the potential value for patient management. This study will provide reliable evidence for early screening, follow-up management and individualized treatment of high-risk population, and has important clinical and public health significance for improving the early diagnosis rate, reducing the risk of malignant transformation and improving the prognosis of patients with uterine fibroids.
NCT07269132
Research Methods, Procedures, and Participant Requirements: This study will test a multimedia interactive learning system designed to help nurses conveniently learn about chemotherapy drug administration. The study is scheduled to be conducted from November to December, 2025. Participants are expected to cooperate with the following procedures: Pre-test: Complete a questionnaire that includes basic demographic information and a self-efficacy scale. The estimated time for completion is about 10 minutes. System Experience: Use the multimedia learning system developed by the research team to study topics such as chemotherapy administration procedures, common error management, and side effect monitoring. The total learning time is approximately 30 minutes, and participants may use the system at their own pace-continuous use in one session is not required. Post-test: After completing the learning session, participants will fill out another questionnaire assessing learning outcomes, changes in self-efficacy, user experience, and system usability. This takes approximately 15-20 minutes. The total participation time is estimated to be 45-60 minutes. All responses will be collected anonymously. Participants may contact the research team at any time if they have questions or concerns, and assistance will be provided as needed.