Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

Against the backdrop of comprehensively advancing the construction of a “Healthy China” and promoting the core socialist values， the traditional closed governance model of medical humanities is confronted with multiple challenges such as imbalances in health resource allocation， cultural-cognitive conflicts， and data barriers. Grounded in social-ecological system theory， this study argued that the modern evolution of medical humanities inevitably shifted toward a health humanities ecology centered on “people’s health.” Through the value recognition and reconstruction of health humanities， a “four-dimensional” governance framework comprising the value， element， process， and management dimensions was constructed， and corresponding analytical models and measurement indicators were established. It particularly emphasized that medicine represented a means to achieve health， whereas universal health constituted the ultimate value destination of humanistic governance. Furthermore， action pathways for Chinese-style resilience governance were proposed. First， it was necessary to strengthen cooperation promotion mechanisms among multiple stakeholders， thereby highlighting the institutional advantages of socialism in terms of solidarity and collaboration. Second， it was essential to promote data standardization across the entire chain of health humanities governance， thus serving the modernization of China’s national governance system and governance capacity. Third， it was vital to innovate explicit measurement methods for health humanities values， thereby reinforcing quality orientation and responsibility awareness.

Objective:To investigate the related factors of kidney injury in patients with masked hypertension (MHT).Methods:This study was a cross-sectional study. A total of 311 MHT patients who visited Dongguan Liaobu Community Health Service from June 1,2022 to June 1, 2023 were enrolled in the study. The complete blood biochemistry, urinary microalbumin and 24-hour urinary protein tests were conducted, and the risk factors of renal injury in MHT patients were analyzed with multivariate logistic regression.Results:The age of the 311 enrolled patients was(48.8±9.2)years, with 192 males(61.7%) There were 73 cases with microalbuminuria (MAU), accounting for 23.47% (73/311); and 28 cases of positive 24-hour urine total protein (24-hour UTP), accounted for 9.00% (28/311). Multivariate logistic regression analysis showed that fasting blood glucose level and mean nocturnal systolic blood pressure were independent risk factors of positive MAU in MHT patients ( OR=1.577, 95% CI: 1.049-2.370, P=0.030; OR=1.024, 95% CI: 1.001-1.047, P=0.038), while older age was a protective factor of MAU ( OR=0.965, 95% CI: 0.935-0.997, P=0.030); mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure were independent risk factors of positive 24-hour UTP in MHT patients ( OR=1.031,95% CI: 1.000-1.064, P=0.049; OR=1.048,95% CI: 1.008-1.091, P=0.020; OR=1.042,95% CI: 1.003-1.083, P=0.035). Conclusion:Older age, fasting blood glucose, mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure are associated with the renal injury in MHT patients.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To investigate the related factors of kidney injury in patients with masked hypertension (MHT).Methods:This study was a cross-sectional study. A total of 311 MHT patients who visited Dongguan Liaobu Community Health Service from June 1,2022 to June 1, 2023 were enrolled in the study. The complete blood biochemistry, urinary microalbumin and 24-hour urinary protein tests were conducted, and the risk factors of renal injury in MHT patients were analyzed with multivariate logistic regression.Results:The age of the 311 enrolled patients was(48.8±9.2)years, with 192 males(61.7%) There were 73 cases with microalbuminuria (MAU), accounting for 23.47% (73/311); and 28 cases of positive 24-hour urine total protein (24-hour UTP), accounted for 9.00% (28/311). Multivariate logistic regression analysis showed that fasting blood glucose level and mean nocturnal systolic blood pressure were independent risk factors of positive MAU in MHT patients ( OR=1.577, 95% CI: 1.049-2.370, P=0.030; OR=1.024, 95% CI: 1.001-1.047, P=0.038), while older age was a protective factor of MAU ( OR=0.965, 95% CI: 0.935-0.997, P=0.030); mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure were independent risk factors of positive 24-hour UTP in MHT patients ( OR=1.031,95% CI: 1.000-1.064, P=0.049; OR=1.048,95% CI: 1.008-1.091, P=0.020; OR=1.042,95% CI: 1.003-1.083, P=0.035). Conclusion:Older age, fasting blood glucose, mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure are associated with the renal injury in MHT patients.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

The Internet has become an important carrier of medical information.Good electronic health literacy can enhance the public’s ability to obtain correct medical and health information with the help of electronic resources,which is helpful for the public to use health information to prevent diseases,avoid drug abuse,reduce the waste of medical resources and strengthen the self-management of chronic diseases.The improvement of electronic health literacy is of great value to the healthy development of citizens’ health literacy and healthy behavior.In view of the late start and slow development in the field of electronic health literacy in China,by combing the theoretical and practical research experience of electronic health literacy outside the region and combining with the COVID-19,this paper put forward new thinking on electronic health literacy in China,in order to provide useful reference for improving electronic health literacy of Chinese citizens,realizing self-care,self-management and disease prevention.

Objective:This study aimed to explore the challenges faced by colleges and universities in performing their institutional responsibilities set forth by the Ethical Review Measures of Life Science and Medical Research Involving Human Participants (hereinafter referred to as the Measures), demonstrate the key points and main challenges in standardizing the ethical review and ethical management of colleges and universities, to provide a possible reference for daily working practices.Methods:Based on the interpretation of the policy document, combined with practical experiences in ethical review and ethical management, this paper summarized identified problems faced and proposed feasible practical suggestions.Results:The Measures strengthen the ethical review norms for life science and medical research involving human participants by reaffirming the responsibility of institutions. Colleges and universities might face some challenges and more systematic design is needed.Conclusions:The ethical review and ethical management work at colleges and universities need further consideration, top-down design model should be developed, to set work priorities, and at the same time, more innovative ways should be adopted to facilitate ethical review reliance and coordinate more streamlined review of cooperative research, and improve the quality and efficiency of ethical review promptly.

NDFIP1 has been previously reported as a tumor suppressor in multiple solid tumors, but the function of NDFIP1 in NSCLC and the underlying mechanism are still unknown. Besides, the WW domain containing proteins can be recognized by NDFIP1, resulted in the loading of the target proteins into exosomes. However, whether WW domain-containing transcription regulator 1 (WWTR1, also known as TAZ) can be packaged into exosomes by NDFIP1 and if so, whether the release of this oncogenic protein via exosomes has an effect on tumor development has not been investigated to any extent. Here, we first found that NDFIP1 was low expressed in NSCLC samples and cell lines, which is associated with shorter OS. Then, we confirmed the interaction between TAZ and NDFIP1, and the existence of TAZ in exosomes, which requires NDFIP1. Critically, knockout of NDFIP1 led to TAZ accumulation with no change in its mRNA level and degradation rate. And the cellular TAZ level could be altered by exosome secretion. Furthermore, NDFIP1 inhibited proliferation in vitro and in vivo, and silencing TAZ eliminated the increase of proliferation caused by NDFIP1 knockout. Moreover, TAZ was negatively correlated with NDFIP1 in subcutaneous xenograft model and clinical samples, and the serum exosomal TAZ level was lower in NSCLC patients. In summary, our data uncover a new tumor suppressor, NDFIP1 in NSCLC, and a new exosome-related regulatory mechanism of TAZ.
Humans ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Carrier Proteins/metabolism* ; Cell Line ; Cell Proliferation ; Exosomes/metabolism* ; Lung Neoplasms/genetics* ; Membrane Proteins/metabolism* ; Transcriptional Coactivator with PDZ-Binding Motif Proteins/metabolism*

The Internet has become an important carrier of medical information.Good electronic health literacy can enhance the public’s ability to obtain correct medical and health information with the help of electronic resources,which is helpful for the public to use health information to prevent diseases,avoid drug abuse,reduce the waste of medical resources and strengthen the self-management of chronic diseases.The improvement of electronic health literacy is of great value to the healthy development of citizens’ health literacy and healthy behavior.In view of the late start and slow development in the field of electronic health literacy in China,by combing the theoretical and practical research experience of electronic health literacy outside the region and combining with the COVID-19,this paper put forward new thinking on electronic health literacy in China,in order to provide useful reference for improving electronic health literacy of Chinese citizens,realizing self-care,self-management and disease prevention.