Narrative medicine focuses on empathy， relevance， and emotion， precisely aligning with the elements of “clown doctor” such as compassion， interaction， and pain relief. From the perspective of narrative medicine， the practice of “clown doctors” not only focuses on the emotional changes of patients but also enhances their sense of belonging by recreating their experiences. The key element for the success of “clown doctors” lies in establishing a multi-dimensional trust relationship among medical workers， patients， colleagues， and society， while ensuring their practice adheres to medical ethics norms. “Clown doctors” should concentrate on dimensions such as concept dissemination， clinical application， social recognition， and ethical practice of narrative medicine. They should also constantly optimize narrative techniques， deepen the understanding of patients’ stories， and intervene in the medical process in a more delicate and comprehensive way， thereby fostering in-depth communication and understanding between doctors and patients.

Intelligent prescription recommendation has become an important research direction in traditional Chinese medicine (TCM), offering new opportunities to support clinical decision-making and promote the modernization of TCM practice. With the rapid development of artificial intelligence (AI), a variety of computational approaches have been proposed to learn prescription patterns from clinical data and generate personalized treatment recommendations. However, despite increasing research activity, systematic and comprehensive reviews of AI-driven methods for TCM prescription recommendation remain limited. In this study, we present a comprehensive review of computational approaches for herbal prescription recommendation (HPR) in TCM. Existing methods are systematically categorized into several major paradigms, including traditional machine learning methods, topic model methods, sequential generative methods, deep learning and graph-based methods, and large language model–based frameworks. In addition to summarizing methodological developments, we also review commonly used public datasets and evaluation metrics in this field. Furthermore, representative models with publicly available implementations are experimentally evaluated on multiple benchmark datasets to provide a comparative analysis of their performance on the HPR task. Finally, we discuss the key challenges that hinder the practical deployment of intelligent prescription recommendation systems, including data heterogeneity, limited interpretability, and insufficient integration of TCM domain knowledge. Future research directions are outlined to facilitate the development of more reliable, interpretable, and clinically applicable AI-assisted HPR systems for TCM.

The endochondral ossification of the growth plate is crucial for the longitudinal growth of long bones. Mechanical loading plays an important regulatory role in endochondral ossification. Absence or improper mechanical loading can inhibit growth plate development, while moderate mechanical stimuli promote chondrocyte proliferation and differentiation, thereby facilitating long bone growth. Mechanosensitive structures, such as primary cilia, mechanosensitive ion channels, integrins, and the cytoskeleton, play key roles in the regulation of mechanical loading. This review summarizes how mechanical loading influences growth plate endochondral ossification and discusses potential underlying mechanisms, offering theoretical insights for the management and research of bone development disorders in children and adolescents.

The mental health management of laboratory animals is a critical factor in ensuring the reliability of scientific research data. However, due to the subtle nature of mental state alterations and the limitations of current assessment methods, the mental health of laboratory animals is often overlooked by researchers. Therefore, there is an urgent need to explore a new, objective, simple, and practical method for evaluating mental health. Stress, as a primary factor inducing alterations in the mental state of animals, can influence experimental results across multiple research fields through the neuroendocrine-immune network. This paper first elucidates the necessity of mental health management in laboratory animals from three perspectives: factors contributing to stress, neural mechanisms of stress, and research areas affected by stress. It highlights that excluding animals with abnormal mental states before experiments can enhance the efficiency and reproducibility of biomedical studies. Second, this paper briefly summarizes existing methods for assessing the health of laboratory animals, pointing out that approaches such as behavioral tests and metabolomics have many limitations in evaluating stress responses. Existing methods struggle to meet the demand for simple, objective, and non-invasive assessment methods in animal management. Therefore, this paper focuses on hair, a biological sample with the advantages of cumulative information and non-invasive collection, and systematically describes the theoretical basis and technological advances in using hair characteristics as indicators of stress responses from three perspectives: hair traits, the levels of substances in hair, and artificial intelligence (AI). It proposes and supports an innovative technical pathway that combines hair traits with AI-based image analysis, with the aim of offering an improved solution for non-invasive and objective stress assessment, while providing theoretical support for improving the health management system of laboratory animals.

Through an in-depth exploration on dimensions of the value implications， inheritance challenges， and countermeasure paths of the red doctor culture， this paper systematically analyzed its historical origin and connotation， emphasizing its unique position in revolutionary history and significant value in the new era. Examining the challenges confronting the inheritance of the red doctor culture against the backdrop such as the rapid development of modern science and technology， changes in the social environment， weakened public cognition， and restricted dissemination channels， a three-dimensional countermeasure framework of “coordination， integration， and transformation” was proposed for the inheritance of the red doctor culture. This countermeasure included coordinating the layout to construct a systematic inheritance system， deepening integration to realize the innovation of educational inheritance， and transforming and empowering to embed and reconstruct the inheritance paradigm with modern thinking. The aim was to activate the vitality of the red doctor culture and promote its practical application and innovative development in contemporary medical and health undertakings.

Growth and development-related diseases result from the interplay of biological, psychological, and social factors. The collaboration between healthcare, sports, and education sectors integrates multidisciplinary resources and strengths to promote standardized diagnostic and therapeutic processes. This approach establishes a comprehensive closed-loop system encompassing early screening and referral, diagnosis and comprehensive evaluation, intervention and support plan formulation, as well as long-term management andoutcome assessment. It provides systematic scientific support for the healthy growth of children and adolescents, shifting disease intervention to the subclinical stage. Against the backdrop of societal informatization and intelligent development, this diagnostic and therapeutic model not only safeguards the holistic health of children and adolescents but also offers novel perspectives and feasible pathways for managing growth and development-related diseases. The implementation of this systematic diagnostic and therapeutic paradigm presents an innovative solution with Chinese characteristics for addressing such conditions, while injecting new vitality into the advancement of national health initiatives.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

To investigate the mediating role of vitamin D in the association between exerciseand triglyceride among adolescents, as well as its potential molecular mechanisms.

To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

Cancer incidence in China has been rising steadily,with a particularly heavy burden from several high-prevalence malignancies.Medical examination for cancer plays a critical role in the early detection of cancer,precancerous lesions,and precursor conditions,thereby facilitating timely diagnosis and intervention.Such examination also addresses the growing demand for person-alized cancer screening services among diverse population groups.The development of evidence-based,context-specific cancer screening guidelines is essential to enhance the standardization,quality,and equity of preventive screening practices across the country,ultimately improving out-comes in early cancer detection and treatment.Guided by the Department of Medical Emergency Response of the National Health Commission,the Guidelines for Medical Examination for Cancer in Health Examination Agency(2025 Edition)were developed under the leadership of the National Cancer Center.A multidisciplinary panel of experts formulated the guidelines in accordance with the principles and methodology of the World Health Organization Handbook for Guideline Deve-lopment.The guidelines provide evidence-based recommendations on key clinical domains:target cancers and populations,overall screening workflow,screening protocols,diagnostic technolo-gies,result interpretation,follow-up procedures,and quality control.The primary objective is to standardize cancer screening practices in health examination agency and strengthen China's ca-pacity for prevention and control of high-burden cancers.