At present， the systematic excavation of the clinical experience and academic thought of the Sichuan school of Chinese medicine vis-à-vis its dominant disease entities remains fragmentary， and replicable paradigms are scarce. Confronted with empirical fragmentation， data heterogeneity and decision-making subjectivity， the standardised distillation， inheritance and clinical translation of these distinctive experiences has become a critical bottleneck constraining the development of the Sichuan school. The integration of artificial-intelligence technologies in data processing， pattern recognition and intelligent decision-making has rendered deep mining of traditional Chinese medicine（TCM） clinical knowledge and patterns imperative. Constructing an intelligent modern TCM diagnostic-therapeutic-evaluative system is now the obligatory route for inheritance and innovation in Chinese medicine， and simultaneously provides a technological breakthrough for intelligent decision paradigms in the dominant diseases of the Sichuan school. Accordingly， this study adopts the regional academic school as its point of entry， focuses on the dominant diseases of the Sichuan school， and proposes an innovative pathway of "four-dimensional data-multi-modal fusion-multi-agent decision-making". Specifically， four data dimensions are defined and instantiated： （Ⅰ） knowledge from classical medical literature and historical case records. （Ⅱ） objective four-diagnosis phenotypic data. （Ⅲ） master physicians' prescribing regularities. （Ⅳ） characteristic mechanisms of renowned formulae. Leveraging multi-modal data fusion and generative artificial intelligence， the entire causal chain of Famous Physicians and Renowned Formulas is explicated to reconstruct the diagnostic-therapeutic cognitive logic of the regional school. Finally， a multi-agent collective-decision model is established and refined for the dominant diseases of the Sichuan school， capable of generating precise， individualised treatment regimens and thereby advancing an intelligent diagnostic-therapeutic paradigm that delivers more efficient and accurate clinical decision support.

Hepatic fibrosis（HF） is a common pathological link of a variety of chronic hepatic diseases， and its complex pathological mechanism and prolonged clinical course pose a major challenge to modern medicine. Modern conventional therapies for HF cannot reverse the pathological vascular remodeling of the liver， and targeted vascular treatment for HF is a current research hotspot. There is a contradiction between the inhibition of pathological repair and the promotion of physiological regeneration with a single targeted therapy. The dynamic equilibrium concept of "achieving equilibrium of Yin and Yang" of traditional Chinese medicine can provide a new treatment strategy， and multi-target traditional Chinese medicine compounds can achieve two-way regulation of pathological mechanisms. According to the research on the modernization of traditional Chinese medicine， the "collaterals and vascular system" are highly compatible in structure and function， and they can guide the treatment of HF at different stages by identifying their common pathological links in HF. The intrahepatic collaterals are an important component of the hepatic collaterals， and the theory of "hepatic collateral disease" based on this physiology has important guiding significance for the clinical diagnosis and treatment of HF. Hepatic sinusoidal obstruction caused by endothelial dysfunction in the early stage of HF is a pathological manifestation of stagnant nutrient Yin in collateral passages. It can be treated by diffusing Qi to resolve stagnation and promoting circulation to unblock collaterals. Repeated stimulation of angiogenesis by hypoxia and inflammation in the medium stage is the pathological manifestation of lingering stagnation of damp and heat in collateral passages. It can be treated by clearing and draining damp and heat， eliminating turbidity， and unblocking collaterals. Pathological vascular remodeling induced by hemodynamic abnormalities in the later stage is a pathological manifestation of the consumption of collateral passages by pathogenic toxins. At this stage with excessive pathogenic factors and deficient healthy Qi， combined therapy of dredging and nourishing is adopted to eliminate toxins， resolve blood stasis， nourish Yin， and supplement Qi simultaneously. Moreover， the holistic concept of harmony between human and nature in traditional Chinese medicine emphasizes the time， place， and treatment based on individual conditions， so the practical application of the theory should consider the specific regional characteristics. This paper aims to discuss the characteristics of pathogenesis， treatment principles， prescriptions， and medicines in different stages of HF based on the correlation between "collaterals and vascular system" as well as the theory of "hepatic collateral disease". It was proposed that Qi deficiency and collateral obstruction were the core pathogenesis of HF， and that hepatic collateral damage was the core pathological basis for the deterioration and prognosis of HF. The scientific connotation and pathogenesis evolution of collateral damage and mass generation in HF were discussed. Sichuan was taken as an example to investigate the treatment of HF according to local conditions， providing new ideas for the treatment of HF.

Opium is obtained by air-drying the milky latex extracted from the unripe capsules of the opium poppy(Papaver somniferum).This latex is rich in benzylisoquinoline alkaloids(BIA),with major active compounds in-cluding morphine,codeine,thebaine,papaverine,and noscapine.Compound licorice oral solution and compound licorice tablets are derivative drugs containing opium.Initially classified as over-the-counter(OTC)medications,both formulations were later reclassified as prescription drugs by the National Medical Products Administration(NMPA),restricting their purchase without proper authorization.Although the national pharmacopeia standards specify the morphine content in the opium raw materials used for compound licorice oral solution and tablets,they lack mandatory requirements for the detection and quantification of the other four major alkaloids.Given the unique nature of opium raw materials and the stringent regulatory requirements for such drugs,it is imperative to enhance and refine simultaneous detection and control methods for all alkaloid components in these products.Furthermore,the establishment of scientific and reasonable detection and control standards for preservatives in compound licorice formulations is crucial to improving overall product quality management and ensuring drug safety and efficacy.This study analyzes and discusses the quality standards,detection methods,and research progress for opium and com-pound licorice preparations,aiming to explore the potential for technological innovation and ensure the safe use of these medications.

The hepatic vascular microenvironment(HVM)plays a pivotal role in maintaining liver function homeostasis,including metabolism,detoxification,and coagulation.The maintenance of HVM homeostasis is governed by an intricate interplay of mechanical forces,chemical signals,and neuroelectrophysiological conduction.Recent studies have shown that an imbalance in HVM promotes the progression of chronic liver disease(CLD),which is characterized by sinusoidal capillarization,vascular deformation and remodeling,and the arterialization of blood supply.This review sum-marizes the dynamic regulatory mechanisms that underpin HVM in physiological conditions,and the primary pathological manifestations observed at various stages of CLD progression,aiming to provide a robust framework for the development of therapeutic strategies targeting HVM homeostatic imbanlance in CLD.

As traditional Chinese medicine （TCM） culture evolves， the academic thoughts of these practitioners， being a core component of TCM inheritance， are gradually shifting from traditional models to digital and intelligent approaches. However， this process faces challenges， including insufficient standardization of data collection and processing， low inheritance efficiency， and the risk of inheritance alienation. To address these issues， this paper proposed the construction of an intelligent platform following the "intelligence-transmission-modeling-linkage" path. "Intelligence" involves using smart perception technologies to accurately collect and classify diagnostic and therapeutic information from famous TCM practitioners， laying the foundation for digital inheritance； "transmission" focuses on leveraging artificial intelligence to mine and inherit the clinical experience of famous TCM practitioners， thereby establishing a "regional academic schools+group commonality" dynamic inheritance system； "modeling" integrates the academic thoughts and advantageous diseases of multiple schools to develop intelligent diagnostic and therapeutic models of famous TCM practitioners， resulting in personalized treatment plans； "linkage" involves constructing a clinical decision support system of famous TCM practitioners by integrating blockchain and generative intelligence， creating an AI digital avatar of TCM diagnostic and therapeutic knowledge. The "intelligence-transmission-modeling-linkage" intelligent inheritance model not only provides new ideas for the digital inheritance of TCM academic schools， but also offers strong support for the modernization and internationalization of TCM.

Opium is obtained by air-drying the milky latex extracted from the unripe capsules of the opium poppy(Papaver somniferum).This latex is rich in benzylisoquinoline alkaloids(BIA),with major active compounds in-cluding morphine,codeine,thebaine,papaverine,and noscapine.Compound licorice oral solution and compound licorice tablets are derivative drugs containing opium.Initially classified as over-the-counter(OTC)medications,both formulations were later reclassified as prescription drugs by the National Medical Products Administration(NMPA),restricting their purchase without proper authorization.Although the national pharmacopeia standards specify the morphine content in the opium raw materials used for compound licorice oral solution and tablets,they lack mandatory requirements for the detection and quantification of the other four major alkaloids.Given the unique nature of opium raw materials and the stringent regulatory requirements for such drugs,it is imperative to enhance and refine simultaneous detection and control methods for all alkaloid components in these products.Furthermore,the establishment of scientific and reasonable detection and control standards for preservatives in compound licorice formulations is crucial to improving overall product quality management and ensuring drug safety and efficacy.This study analyzes and discusses the quality standards,detection methods,and research progress for opium and com-pound licorice preparations,aiming to explore the potential for technological innovation and ensure the safe use of these medications.

The hepatic vascular microenvironment(HVM)plays a pivotal role in maintaining liver function homeostasis,including metabolism,detoxification,and coagulation.The maintenance of HVM homeostasis is governed by an intricate interplay of mechanical forces,chemical signals,and neuroelectrophysiological conduction.Recent studies have shown that an imbalance in HVM promotes the progression of chronic liver disease(CLD),which is characterized by sinusoidal capillarization,vascular deformation and remodeling,and the arterialization of blood supply.This review sum-marizes the dynamic regulatory mechanisms that underpin HVM in physiological conditions,and the primary pathological manifestations observed at various stages of CLD progression,aiming to provide a robust framework for the development of therapeutic strategies targeting HVM homeostatic imbanlance in CLD.

Objective:To develop a risk prediction model for identifying bronchopulmonary dysplasia (BPD) associated pulmonary hypertension (PH) in very premature infants.Methods:This was a retrospective cohort study. The clinical data of 626 very premature infants whose gestational age <32 weeks and who suffered from BPD were collected from October 1 st, 2015 to December 31 st, 2021 of the Seventh Medical Center of the People′s Liberation Army General Hospital as a modeling set. The clinical data of 229 very premature infants with BPD of Hunan Children′s Hospital from January 1 st, 2020 to December 31 st, 2021 were collected as a validation set for external verification. The very premature infants with BPD were divided into PH group and non PH group based on the echocardiogram after 36 weeks′ corrected age in the modeling set and validation set, respectively. Univariate analysis was used to compare the basic clinical characteristics between groups, and collinearity exclusion was carried out between variables. The risk factors of BPD associated PH were further screened out by multivariate Logistic regression, and the risk assessment model was established based on these variables. The receiver operating characteristic (ROC) area under curve (AUC) and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the model′s discrimination and calibration power, respectively. And the calibration curve was used to evaluate the accuracy of the model and draw the nomogram. The bootstrap repeated sampling method was used for internal verification. Finally, decision curve analysis (DCA) to evaluate the clinical practicability of the model was used. Results:A total of 626 very premature infants with BPD were included for modeling set, including 85 very premature infants in the PH group and 541 very premature infants in the non PH group. A total of 229 very premature infants with BPD were included for validation set, including 24 very premature infants in the PH group and 205 very premature infants in the non PH group. Univariate analysis of the modeling set found that 22 variables, such as artificial conception, fetal distress, gestational age, birth weight, small for gestational age, 1 minute Apgar score ≤7, antenatal corticosteroids, placental abruption, oligohydramnios, multiple pulmonary surfactant, neonatal respiratory distress syndrome (NRDS)>stage Ⅱ, early pulmonary hypertension, moderate-severe BPD, and hemodynamically significant patent ductus arteriosus (hsPDA) all had statistically significant influence between the PH group and the non PH group (all P<0.05). Antenatal corticosteroids, fetal distress, NRDS >stage Ⅱ, hsPDA, pneumonia and days of invasive mechanical ventilation were identified as predictive variables and finally included to establish the Logistic regression model. The AUC of this model was 0.86 (95% CI 0.82-0.90), the cut-off value was 0.17, the sensitivity was 0.77, and the specificity was 0.84. Hosmer-Lemeshow goodness-of-fit test showed that P>0.05. The AUC for external validation was 0.88, and the Hosmer-Lemeshow goodness-of-fit test suggested P>0.05. Conclusions:A high sensitivity and specificity risk prediction model of PBD associated PH in very premature infants was established. This predictive model is useful for early clinical identification of infants at high risk of BPD associated PH.

Aim To explore the correlation between carotid atherosclerosis(CAS)and neutrophil/lymphocyte ratio(NLR)in patients with early morning hypertension,and to construct a line chart model to predict the risk of CAS in patients with hypertension in the morning.Methods 255 patients with early morning hypertension hospitalized in the Affiliated Hospital of Chengde Medical College from October 2019 to November 2022 were collected,and their basic data,blood routine and blood biochemical indexes were collected.All selected patients need to improve 24-hour ambulatory blood pressure monitoring and carotid artery color ultrasound detection.According to the presence or absence of CAS,all selected patients were divided into morning hypertension with CAS group(n=197)and morning hypertension without CAS group(n=58).Multivariate Logistic regression analysis was used to explore the risk factors of early morning hypertension with CAS,and to construct and verify an individual line chart model to predict the risk of early morning hypertension pa-tients with CAS.Results The age,NLR,neutrophils(NE),monocytes(MO),white blood cell(WBC),total cho-lesterol(TC),triglyceride(TG)and low density lipoprotein cholesterol(LDLC)increased in the early morning hyperten-sion with CAS group compared with those in the morning hypertension group without CAS,while the HDLC decreased(P＜0.05).The results of multivariate Logistic regression analysis showed that the age,NLR and TC were higher in the early morning hypertension with CAS group than those in the early morning hypertension without CAS group,while HDLC was lower;Age,NLR and TC were independent risk factors of early morning hypertension with CAS,while HDLC was inde-pendent protective factors of morning hypertension with CAS.Based on the results of multivariate Logistic regression anal-ysis,an individualized line chart model for predicting early morning hypertension with CAS was constructed.The area un-der the ROC curve of the line chart model was 0.853(95％CI:0.802-0.904,P＜0.01).The result of Hosmer Leme-show fit test was x2=1.665(P＞0.05).Conclusions There was a positive correlation between NLR and morning hy-pertension with CAS,and NLR was an independent risk factor for morning hypertension with CAS.The individualized line chart model based on age,NLR,TC and HDLC can effectively predict the risk of hypertension with CAS in the early morn-ing,which provides a theoretical basis for early detection and prevention of atherosclerosis.

Objective:To explore the effectiveness of Acute Care of the Elderly(ACE)model and its existing problems in the clinical practice for older adults with acute clinical conditions.Methods:Using the random number table method, a random number sequence was generated, and the patients admitted to the Department of Geriatrics of Shenzhen Nanshan Hospital due to acute diseases From January 2019 to September 2021 were enrolled in the ACE model intervention group(160 cases)and the control group(77 cases)in a 2: 1 ratio.The inclusion criteria were based on disease severity, frailty assessment, and activity of daily living(ADL)assessment.The intervention time was 1-3 weeks.Outcomes of the patients include ADL, hospitalization days, hospitalization expenses, drug proportion, human resource investments, adverse events, 30-day readmission rate, and 1-year mortality.Results:There were no significant difference in baseline indicators such as frailty index and ADL score between the two groups at admission.The ADL score(Barthel index)of the ACE group was significantly improved compared with the control group at discharge(81.71±14.23 vs.70.9±23.89, P<0.001)and at 30 days after discharge(85.84±15.25 vs.68.29±30.91, P<0.001). The hospital cost[(12 735.81±6 541.41)￥ vs.(16 391.54±12 962.34)￥, P=0.002], drug proportion(21.34% vs.28.93 %, P=0.036)and 30-day readmission rate(13.1% vs.23.4%, P=0.037)of the ACE group were significantly lower compared to the control group.The human resource input(32.97±6.72 vs.25.03±5.31, P=0.008)and patient satisfaction(98.23% vs.90.66%, P=0.031)in the ACE group were significantly higher than those of the control group.(4)The incidence of adverse events during hospitalization was significantly lower in the ACE group than in the control group in terms of aspiration(0.63% vs.20.8%, P<0.001), falls(0 vs.10.4%, P<0.001), incontinence dermatitis(0 vs.3.9%, P=0.033), and 1-year mortality(6.3% vs.24.7%, P<0.001). There was no significant difference in the average length of stay(8.98±4.25 vs.10.03±5.32, P=0.101), pressure sores(13.01±4.77 vs.13.27±4.89, P=0.364), DVT risk score(8.53±2.79 vs.8.89±2.76, P=0.340)and medical staff satisfaction(73% vs.80%, P=0.240)between the two groups. Conclusions:The ACE model helps to reduce the disability rate of elderly patients with frailty, adverse events during hospitalization, save drug costs, and improve patient satisfaction.It is worth promoting in geriatric practice, but its localization management details and processes still face many challenges.