Malignant tumors are one of the major diseases that endanger human life and health. Chinese medicine has unique advantages in clinical anti-tumor treatment. However， how to translate the anti-tumor effects of Chinese medicine into clinical practice is the core issue that must be addressed in the process of treating malignant tumors with traditional Chinese medicine （TCM）. Unlike modern chemical drugs， the compatibility application of Chinese medicine is the key factor that determines whether Chinese medicine can achieve optimal anti-tumor efficacy and realize the goal of "enhancing efficacy and reducing toxicity". The formulation structure based on this compatibility is the basic form for the safe， efficient， and rational clinical use of anti-tumor Chinese medicine， and it mainly includes three categories： herb pairs， tri-herbal combinations， and compound compatibility. Although herb pairs have the characteristics of a simple structure and strong targeting （enhancing efficacy and reducing toxicity）， they often have a single effect and cannot fully address the complex pathogenesis of tumors. As a result， herb pairs are rarely used alone in practice. Compared to herb pairs， tri-herbal combinations broaden the application scope of herbs in clinical treatment， but their therapeutic range remains limited. The traditional "sovereign， minister， assistant， and guide" compound prescription， which includes herb pairs and tri-herbal combinations， improves the efficacy of herbs in treating serious diseases， hypochondriasis， chronic diseases， and miscellaneous disorders. However， due to the limitations of its historical background， it has not been integrated with modern clinical practice and modern pharmacological research， which restricts the development of compound compatibility theory. With the emergence of modern medical technology， it has been combined with traditional compatibility theory of Chinese medicine to create an innovative modern compatibility theory. This includes the "aid medicine" theory derived from modern Chinese medicine pharmacology， which compensates for the inability of the "sovereign， minister， assistant， and guide" theory to accurately apply medicine. Additionally， the "state-targeted treatment based on syndrome differentiation" theory， developed from pharmacology and modern medicine， addresses the deficiency in disease cognition in the "sovereign， minister， assistant， and guide" theory. Under the guidance of these compatibility forms and theories， clinical anti-tumor Chinese medicine can exert its maximum anti-tumor efficacy， which is of great significance for the application of Chinese medicine in clinical tumor treatment.

Objective To analyze the application effects of artificial intelligence (AI) software and Mimics software in preoperative three-dimensional (3D) reconstruction for thoracoscopic anatomical pulmonary segmentectomy. Methods A retrospective analysis was conducted on patients who underwent thoracoscopic pulmonary segmentectomy at the Second People's Hospital of Huai'an from October 2019 to March 2024. Patients who underwent AI 3D reconstruction were included in the AI group, those who underwent Mimics 3D reconstruction were included in the Mimics group, and those who did not undergo 3D reconstruction were included in the control group. Perioperative related indicators of each group were compared. Results A total of 168 patients were included, including 73 males and 95 females, aged 25-81 (61.61±10.55) years. There were 79 patients in the AI group, 53 patients in the Mimics group, and 36 patients in the control group. There were no statistical differences in gender, age, smoking history, nodule size, number of lymph node dissection groups, postoperative pathological results, or postoperative complications among the three groups (P>0.05). There were statistical differences in operation time (P<0.001), extubation time (P<0.001), drainage volume (P<0.001), bleeding volume (P<0.001), and postoperative hospital stay (P=0.001) among the three groups. There were no statistical differences in operation time, extubation time, bleeding volume, or postoperative hospital stay between the AI group and the Mimics group (P>0.05). There was no statistical difference in drainage volume between the AI group and the control group (P=0.494), while there were statistical differences in operation time, drainage tube retention time, bleeding volume, and postoperative hospital stay (P<0.05). Conclusion For patients requiring thoracoscopic anatomical pulmonary segmentectomy, preoperative 3D reconstruction and preoperative planning based on 3D images can shorten the operation time, postoperative extubation time and hospital stay, and reduce intraoperative bleeding and postoperative drainage volume compared with reading CT images only. The use of AI software for 3D reconstruction is not inferior to Mimics manual 3D reconstruction in terms of surgical guidance and postoperative recovery, which can reduce the workload of clinicians and is worth promoting.

AIM:To investigate the protective effects of soy isoflavones on retinal ganglion cells(RGCs)damage in diabetic rats and related mechanisms.METHODS: Totally 80 male SD rats(80 eyes), aged 4-6 weeks, were randomly divided into four groups(n=20 per group): a control group, a diabetic model group, a low-dose soy isoflavone treatment group, and a high-dose soy isoflavone treatment group. Among them, the control group was fed normal chow, while the diabetic group, soy isoflavone low-dose-treated group, and soy isoflavone high-dose-treated group were fed high-fat chow. After a feeding period of 4 wk, rats in the diabetic group, as well as those in the soy isoflavone low-dose and high-dose treatment groups, were injected intraperitoneally with streptozotocin(STZ)at a dose of 50 mg/kg to establish a diabetic model. Rats in the control group received an equivalent volume of sodium citrate buffer acid. The soy isoflavone low-dose-treated group was administered 360 mg/kg of soy isoflavones daily via gavage, while the soy isoflavone high-dose-treated group received 540 mg/kg of soy isoflavones daily via gavage. Both the control group and the diabetic group were given an equal amount of purified water daily via gavage. Body weight and blood glucose levels were measured at 4 and 8 wk post-gavage treatment. The eyes were extracted and the retinas were dissected at 8 wk following the gavage treatment. The number of RGCs in each group was determined using immunochemical tissue staining and protein blotting techniques, while the superoxide dismutase(SOD)activity and malondialdehyde(MDA)content of the rat retinal tissue were measured through histochemical methods.RESULTS: Compared with diabetic rats, treatment with high-dose soy isoflavones for 8 wk resulted in a reduction of blood glucose to 8.9±1.23 mmol/L, an increase in intraretinal SOD activity to 849.93±63.71 U/mgprot, a decrease in MDA content to 45.77±0.59 nmol/mgprot, and an increase in the number of RGCs to 76±1 cells/mm2, which is comparable to the control group's data(all P<0.05).CONCLUSION: Soy isoflavones can reduce retinal oxidative stress in diabetic rats and protect RGCs.

Objective To investigate the effects of low-dose ionizing radiation on the thyroid status and hormone levels of radiation workers. Methods Radiation workers who underwent occupational health examinations at a hospital in Guangzhou from 2015 to 2022 were selected as the subjects of this study. The levels of FT3, FT4 and TSH were analyzed, and the thyroid abnormality status of radiation workers in different groups were compared. Results A total of 1152 participants were included in this study, consisting of 885 (76.82%) males and 267 (23.18%) females, with an average age of (35.26 ± 10.16) years. The prevalence of thyroid abnormalities was 9.38%, which was significantly higher in females (13.86%) than in males (8.02%) (P < 0.05). The TSH level of females [(2.15 ± 1.29) mIU/L] was higher than that of males [(1.85 ± 1.20) mIU/L], while the levels of FT3 [(5.10 ± 0.64) pmol/L] and FT4 [(15.84 ± 2.32) pmol/L] in females were lower than those in males [(5.23 ± 0.63) pmol/L and (16.61 ± 2.75) pmol/L, P < 0.05]. The FT3 of industrial workers [(5.25 ± 0.63) pmol/L] was higher than that of medical workers [(5.10 ± 0.63) pmol/L], while the TSH of industrial workers [(1.80 ± 1.12) mIU/L] was lower than that of medical workers [(2.15 ± 1.37) mIU/L]. FT4 levels decreased with increasing age and duration of occupational exposure. Multivariable logistic regression analysis revealed that sex was a significant independent predictor of thyroid abnormalities among radiation workers. Female workers were more likely to experience thyroid abnormalities (β = −0.62, P < 0.05). Conclusion Low-dose ionizing radiation may have a certain impact on the thyroid status of radiation workers, especially for female workers, which requires further attention and research.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

ObjectiveThis paper aims to analyze the clinical characteristics and medication rationality of liver injury related to Epimedii Folium preparation （EP） and explore the possible risk factors of liver injury， so as to provide a reference for the safe clinical application of Epimedii Folium （EF）. MethodA retrospective analysis was conducted on liver injury cases related to EP from 2012 to 2016. ResultThe number of reported liver injury cases and the proportion of severe cases related to the use of EP show an increasing trend， indicating the objective existence of liver injury caused by EP. There are more cases of liver injury related to EP in women than in men， with an onset age range of 15-91 years old and a median onset age of 60 years old （median onset ages for men and women are 59 and 60 years old， respectively）. The time span from taking EP alone to the occurrence of liver injury is 1-386 days， with a median of 38 days. The time span from taking both EP and Western medicine to the occurrence of liver injury is 1-794 days， with a median of 34 days. EF-related liver injury preparations are mostly composed of traditional Chinese medicines that promote immunity and tonify the liver and kidney， indicating that immune stress in the body may be the mechanism of liver injury caused by the use of EP alone or in combination. There is no increasing trend of toxicity with time or dose in the liver injury caused by EP. By further exploring its risk factors， it is found that patients have unreasonable medication methods such as excessive dosage， repeated use， and multi-drug combination， which may also be one of the important risk factors for EF-related liver injury. ConclusionEP has a certain risk of liver injury and should be emphasized in clinical diagnosis and treatment. Immune stress may be the mechanism of liver injury caused by EP， and in clinical use， it is necessary to be vigilant about the risk of liver injury caused by unreasonable use and combined use with Western medicine.

Objective To study the application effect of quality control circle(QCC)in reducing the dissatisfaction rate of physical examination clients in health management center.Methods To establish QCC,selected the health check-up popula-tion in our hospital in September-2019 and March-2020,through the questionnaire investigation and analysis,compare the dis-satisfaction of the clients before and after the quality control circle.Results After carrying out QCC activities,the dissatisfaction of physical examination clients was significantly lower than that before QCC,and the difference was statistically significant(P＜0.05).Conclusion The activities of QCC in the health management center can effectively improve the quality of the physical examination work and reduce the dissatisfaction of the customers in the physical examination.It is of great significance to the health management.

Objective:To explore the value of radiomics and deep learning in predicting the efficacy of initial transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC).Methods:This was a cohort study. The imaging and clinical information of HCC patients treated with TACE in the Second Affiliated Hospital of Harbin Medical University from January 2015 to January 2021 were collected retrospectively. A total of 265 patients were divided into response group (175 cases) and non-response group (90 cases) according to the modified solid tumor efficacy evaluation criteria (mRECIST) 1 to 2 months after initial TACE. According to the proportion of 8∶2, the patients were randomly divided into training group (212 cases, 140 responders and 72 non-responders) and test set (53 cases, 35 responders and 18 non-responders). Univariate and multivariate logistic regression was used to screen clinical variables and construct a clinical model. The radiomics features were extracted from the preoperative CT images, and radiomics model was constructed after feature dimensionality reduction. Using the deep learning method, three residual network (ResNet) models (ResNet18, ResNet50 and ResNet101) were established, and their effectiveness was compared and integrated to build a deep learning model with best performance. Univariate and multivariate logistic regression was used to combine pairwise three models to establish the combined model. The receiver operating characteristic curve was used to evaluate the performance of the model to distinguish between TACE response and non-response groups.Results:In the test set, the area under the curve (AUC) of the clinical model and the radiomics model in the differentiation between response and non-response after TACE were 0.730 (95% CI 0.569-0.891) and 0.775 (95% CI 0.642-0.907). The AUC of ResNet18, ResNet50 and ResNet101 were 0.719, 0.748 and 0.533, respectively. The AUC for deep learning model obtained by integrating ResNet18 and ResNet50 was 0.806 (95% CI 0.665-0.946). After pairwise fusion, the combined deep learning-radiomics model showed the highest performance, with an AUC of 0.843 (95% CI 0.730-0.956), which was better than those of the deep learning-clinical model (AUC of 0.838, 95% CI 0.719-0.957) and the radiomics-clinical model (AUC of 0.786, 95% CI 0.648-0.898). Conclusions:The combined model of radiomics and deep learning has high performance in predicting the curative effect of TACE in patients with HCC before operation.

Objective: To explore the effects of comprehensive intervention measures targeting physical activity, sedentary, sleep and other behaviors on 24 h activity behavior of obese students in vocational colleges, so as to provide a more tailored empirical basis for intervening obese students in vocational colleges. Methods: A quasi experimental design using parallel controlled, randomized grouping was conducted from January to March 2023. A total of 79 first year obese students from a vocational college in Wuxi City were selected as the intervention group (41 students) and the control group (38 students). From April to June, 2023, the control group received no intervention, while the intervention group adopted an information based and behavioral intervention approach to comprehensively intervene in 24 h physical activity, sedentary, sleep and other behaviors (120 minutes each day for 8 weeks).Wherein, information based intervention mainly used paper leaflets and social and learning software to accurately push intervention information, and behavioral intervention mainly concentrated 1 hour of physical exercise and multiple activity behavior requirements every day with the triaxial accelerometer to feedback the objective data of physical activity. Subsequently, from June to July, 2023, a one week post test and follow up survey were conducted respectively.Bouchard diary in physical activity, Weekly questionnaire and triaxial accelerometer were used to record the 24 h activity behavior of both groups of students. T-test and repeated measurement analysis of variance were used to compare the differences of 24 h activity component index time between two groups before and after intervention and examine the changes within each group. Results: Before and after intervention, there was no significant difference in the time of each component index of 24 h activity behavior in the control group. However, repeated measures analysis of variance between the intervention group and the control group revealed statistically significant interaction differences in physical activity, sedentary behavior, sleep and other index time were statistically significant(pre-test and post test: F =6.45, 4.66 ,7.21,7.88; pre-test,post-test and follow up test: F =5.37,5.12,5.43,5.29; P <0.01). During the followup period, compared with the post-test data [(313.25±54.15, 601.88±65.47, 462.83±42.86, 61.92±18.53)min/d], the time of each component (physical activity, sedentary behavior, sleep, other) of the 24 h activity behavior of students in the intervention group rebounded [(298.52± 60.27 , 613.69±68.55, 442.33±45.26, 85.28±20.57)min/d], but it was better than the pre-test data [(230.45±67.42, 720.32±105.63, 369.78±32.31, 119.29±22.17)min/d], and the difference was statistically significant( F =42.46,39.45,33.41,59.43, P <0.01). During the intervention period, the physical activity, sedentary and sleep duration indicators of the intervention group students showed fluctuating patterns in the 4th and 5th weeks. Conclusions The comprehensive intervention on 24 h activity behavior among obese students in vocational colleges shows significant effectiveness, but its sustainability is insufficient. Considering the characteristics of obese students in vocational colleges, personalized intervention measures should be provided to increase physical activity and sleep time and reduce static activity time, in order to promote students to develop a healthy lifestyle.

According to the relevant requirements of the Chinese Pharmacopoeia and relevant reports, this article briefly introduces the basic principles, research ideas, and precautions for the revision of the “characteristics” standards of Chinese medicinal materials and decoction pieces. In recent years, enterprises and social media reported that the characteristics of Chinese medicinal materials in the market did not fully comply with the characteristics specified in the Chinese Pharmacopoeia. Therefore, this article explored the variation in the characteristics of Chinese medicinal materials and decoction pieces and its main reasons, scientific and reasonable revision of the “characteristics” of Chinese medicinal materials and decoction pieces, the new methods for identifying properties, as well as the issues that need to be noted in revising the characteristics of Chinese medicinal materials and decoction pieces, which provided reference for the revision of the “characteristics” standards of Chinese medicinal materials and decoction pieces.