The Dunhuang manuscript Fuxing Jue takes the "Tangye Jingfa Tu" as the core of its theory on prescription and compatibility. Its medication principles mainly include the "five elements principle of tonifying and purging" and the "five elements principle of elimination and transformation". Based on the differentiation of deficiency and excess in the five Zang organs， it flexibly applies medicinal properties， usage， and flavor transformation for tonifying and purging， forming its unique method of medication and compatibility. In Taiyin disease， "fullness syndrome" often occurs together with "diarrhea"， and these two conditions also serve as the primary indications for the middle-regulating formulas. Among them， Lizhong Wan （Tang） mainly address Taiyin deficiency. The three Xiexin Tang （Banxia Xiexin Tang， Gancao Xiexin Tang， Shengjiang Xiexin Tang） address Taiyin deficiency accompanied by pathogenic excess. The Sini Tangand Tongmai Sini Tang primarily treat dysfunction of the liver， spleen， and kidney with impaired opening and closing of Taiyin， manifesting as diarrhea. The medicinal flavors of middle-regulating formulas are pungent， sweet， and bitter， acting directly on the spleen of Taiyin. The pungent flavor induces purging of the spleen， sweet flavor tonifies the spleen， and bitter flavor eliminates lumps. When the constituent medicinal units of middle-regulating formulas are unified， the ratio of pungent to sweet flavors reflects the tonic and purgative strength of the formula. In addition， the two decoction methods， "short-term decoction to extract Qi" and "long-term decoction to extract flavor"， also influence the formula's tonifying and purgative effects. Based on the composition of flavors and special decoction methods， this article discusses the differences in the use of middle-regulating formulas for treating "“fullness syndrome" versus "diarrhea". Dysfunction of the spleen can give rise to various diseases. Therefore， middle-regulating formulas are not limited to treating "deficiency， cold， and dampness" syndromes. Later generations of physicians further modified Lizhong Tang to treat "excess， heat， and dryness" syndromes， laying a solid foundation for more flexible and effective clinical application of middle-regulating formulas.

The Dunhuang manuscript Fuxing Jue takes the "Tangye Jingfa Tu" as the core of its theory on prescription and compatibility. Its medication principles mainly include the "five elements principle of tonifying and purging" and the "five elements principle of elimination and transformation". Based on the differentiation of deficiency and excess in the five Zang organs， it flexibly applies medicinal properties， usage， and flavor transformation for tonifying and purging， forming its unique method of medication and compatibility. In Taiyin disease， "fullness syndrome" often occurs together with "diarrhea"， and these two conditions also serve as the primary indications for the middle-regulating formulas. Among them， Lizhong Wan （Tang） mainly address Taiyin deficiency. The three Xiexin Tang （Banxia Xiexin Tang， Gancao Xiexin Tang， Shengjiang Xiexin Tang） address Taiyin deficiency accompanied by pathogenic excess. The Sini Tangand Tongmai Sini Tang primarily treat dysfunction of the liver， spleen， and kidney with impaired opening and closing of Taiyin， manifesting as diarrhea. The medicinal flavors of middle-regulating formulas are pungent， sweet， and bitter， acting directly on the spleen of Taiyin. The pungent flavor induces purging of the spleen， sweet flavor tonifies the spleen， and bitter flavor eliminates lumps. When the constituent medicinal units of middle-regulating formulas are unified， the ratio of pungent to sweet flavors reflects the tonic and purgative strength of the formula. In addition， the two decoction methods， "short-term decoction to extract Qi" and "long-term decoction to extract flavor"， also influence the formula's tonifying and purgative effects. Based on the composition of flavors and special decoction methods， this article discusses the differences in the use of middle-regulating formulas for treating "“fullness syndrome" versus "diarrhea". Dysfunction of the spleen can give rise to various diseases. Therefore， middle-regulating formulas are not limited to treating "deficiency， cold， and dampness" syndromes. Later generations of physicians further modified Lizhong Tang to treat "excess， heat， and dryness" syndromes， laying a solid foundation for more flexible and effective clinical application of middle-regulating formulas.

To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Based on the theory of "disease of both blood and water" in Essentials from the Golden Cabinet （《金匮要略》）， and in combination with the dynamic syndrome evolution of heart failure with preserved ejection fraction （HFpEF）， this paper systematically clarifies the pathomechanism of HFpEF， characterized by yang deficiency as the root， blood stasis as the pivotal factor and water retention as the manifestation. Accordingly， the therapeutic principles have been proposed， which are warming yang and banking up original qi to consolidate the root， activating blood and unblocking collaterals to smooth the mechanism， and promoting urination and regulating pivot to remove the branch. On this basis， a compound formula structure of "one monarch， one minister and one assistant" is established， forming an integrated intervention strategy that synergistically combines the three methods of warming yang， activating blood， and promoting urination through combined classical formulas. Zhenwu Decoction （真武汤）， which warms yang and dissolves rheum， is used to consolidate the root and directly target the source of yang deficiency， serving as the monarch； Guizhi Fuling Pills （桂枝茯苓丸）， which activates blood， promotes urination and unblocks the pivot， assists in interrupting the binding of blood stasis and water retention， serving as the minister； Tingli Dazao Xiefei Decoction （葶苈大枣泻肺汤）， which regulates qi， disperses retained fluids， and eliminates the manifestation， alleviates acute water-retention symptoms， serving as the assistant. This compound formula is warming without being drying， diuretic without being drastic， and dispels stasis without consuming blood， thereby achieving the therapeutic effects of warming yang， activating blood， and promoting urination.

Alzheimer's disease(AD)is a progressive,irreversible neurodegenerative disorder characterized by gradual brain cell degeneration,leading to progressive decline in cognitive function and ultimately death.Early identification and intervention are critical to AD diagnosis.In recent years,deep learning has further advanced image-based AD classification methods and facilitated the application of deep models in the early AD diagnosis.To achieve accurate early diagnosis and subsequent classification of AD,researchers have integrated deep learning with magnetic resonance imaging to develop more precise models.By analyzing and synthesizing relevant domestic and international literature,this review introduces commonly used public datasets and evaluation criteria for AD,analyzes the application of magnetic resonance imaging in AD classification and its integration with deep learning methods,and highlights the roles of techniques such as convolutional neural networks,transfer learning,attention mechanisms,and multimodal approaches in AD classification.It also discusses the advantages,limitations,and developmental trends of deep learning in AD classification,aiming to provide new insights for the application of deep learning in AD research.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

Objective To construct a risk prediction model for post-stroke dysphagia(PSD)based on clinical and laboratory indicators of elderly stroke patients with explainable machine learning.Methods A retrospective analysis was conducted on 3994 stroke patients hospitalized in Depart-ment of Neurology of First Medical Center of Chinese PLA General Hospital from October 2010 to December 2021.Among them,the 1390 cases admitted during January 2019 and December 2021 were assigned into an external validation set,and the 2604 cases admitted during October 2010 to January 2019 were into a training group.Those from the training group were further divided into a training set(1823 cases)and an internal validation set(781 cases)in a 7∶3 ratio,and also grouped into a PSD subgroup(773 cases)and a non-PSD group(1831 cases).With occurrence of swallowing difficulties as an endpoint,risk prediction models were constructed using random for-est(RF),eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),and logistic regression.ROC curve analysis was employed to evaluate the performance of our models.After the optimal model was selected,SHAP was employed to interpret feature contributions.Results There were significant differences in muscle strength,right/left-sided stroke,and area of brain in-jury between the PSD and the non-PSD groups(P＜0.01).The PSD group had obviously larger proportions of hypertension,diabetes,and drinking history,increased neutrophil counts,and de-creased levels of potassium and albumin when compared with the non-PSD group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age,drinking history,diabetes,hyper-tension,muscle strength grade,area of brain injury,hemispheric stroke,neutrophil count,and al-bumin and potassium levels were risk factors for PSD(P＜0.05,P＜0.01).The external validation results showed that the area under curve value of the RF model,XGBoost model,SVM model,and our logistic model was 0.883,0.902,0.877,and 0.868,respectively.The distribution of SHAP value showed that drinking history,hypertension and diabetes were positively correlated with PSD risk;Muscle strength was negatively correlated with the risk;Age growth was positively correlated with the risk;Subtentorial lesions showed stronger predictive efficacy than supratentorial lesions and entire lesions;The bilateral and right-sided stroke had higher risk for PSD than the left-sided stroke.Conclusion The model based on the XGBoost model shows best performance in predicting the risk for swallowing disorders in elderly patients after stroke.

Objective To analyze risk factors of acute cardio-cerebrovascular accidents in elderly patients with lower extremity fracture,and to construct a risk prediction diagram model.Methods A retrospective analysis was conducted on the clinical data of 510 elderly patients with lower extremity fractures,and the patients were divided into the occurrence group and the non-occurrence group based on the occurrence of acute cardiovascular and cerebrovascular accidents during the postoperative hospitalization.Univariate and multivariate Logistic regression analysis was used to analyze risk factors affecting acute cardiovascular and cerebrovascular accidents in elderly patients with lower extremity fracture,and the risk prediction model was constructed and verified.Results A total of 52 cases of acute cardio-cerebrovascular accidents occurred during hospitalization in 510 patients(10.20%).Age,ASA grade Ⅲ ratio,preoperative concurrent cerebrovascular disease,postoperative pneumonia ratio and postoperative bed time≥5 days ratio were higher in the occurrence group than those in the non-occurrence group(P＜0.05).Multivariate Logistic regression analysis showed that age,ASA grade Ⅲ,preoperative concurrent cardiovascular and cerebrovascular disease,and postoperative pneumonia were risk factors for acute cardio-cerebrovascular accidents in elderly patients with lower limb fracture(P＜0.05).Multivariate Logistic regression analysis was used to screen risk factors as predictive variables to build a risk early warning histogram model for acute cardio-cerebrovascular accidents.The total score ranged from 103 to 168 points,corresponding to a risk range of 0.1 to 0.9 points.Receiver operating characteristic curve(ROC)curve results showed that the area under the curve(AUC)of this model for predicting acute cardiovascular and cerebrovascular accidents was 0.980(95%CI:0.964-1.000),and discrete choice approach(DCA)showed that when the risk threshold was 0.2-0.6,the prediction model of this column graph had a good clinical advantage.Conclusion The risk diagram model constructed based on risk factors has good predictive value for the occurrence of acute cardio-cerebrovascular accidents after lower extremity fracture in elderly patients.

OBJECTIVE To screen characteristic peaks of hypervirulent Klebsiella pneumoniae(hvKP)using ma-trix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)combined with EX-Smartspec software and establish a rapid detection model for hvKP.METHODS Based on identification criteria of any positive peg-344,iroB,iucA,rmpA,prmpA2 genes or siderophore production＞30 μg/ml,89 hvKP and 72 classical Klebsiella pneumoniae(cKP)strains were initially collected and validated for virulence via Galleria mellonella assays.A diagnostic model distinguishing hvKP from cKP was constructed using EX-Smartspec soft-ware and a convolutional neural network algorithm,integrating characteristic peaks and cluster analysis to provide a rapid and accurate clinical diagnostic tool.RESULTS MALDI-TOF MS analysis identified a characteristic hvKP peak at(3 835±100)ppm.Receiver operating characteristic(ROC)curve analysis revealed optimal performance in distinguishing hvKP with an area under the curve(AUC)=0.741.When AUC ≥0.089,the model demonstra-ted high sensitivity(86.41％),specificity(69.90％),accuracy(78.16％),positive predictive value(74.17％),and negative predictive value(83.72％)in differentiating hvKP from cKP.Cluster analysis further validated the model's classification accuracy.Additionally,the typing classification model exhibited high accuracy(approxi-mately 0.95 and 0.90 in training and validation phases,respectively)and low loss values(-0.18 and 0.30).Val-idation of 6 randomly selected hvKP and 5 cKP strains showed a 100.00％pass rate.CONCLUSION The estab-lished diagnostic model for hvKP and cKP provides a rapid and accurate clinical tool for timely treatment of hvKP-related infections.

Objective:To investigate the iodine nutrition level of different populations in Daxing District of Beijing, and to provide a basis for implementation of "tailored measures, classified guidance, and scientific iodine supplementation" for prevention and control of iodine deficiency disorders.Methods:From 2020 to 2023, Daxing District of Beijing was divided into 5 districts from April to September each year based on east, west, south, north, and center. One township (street) was selected from each district, and 20 pregnant women, 40 women of childbearing age, 40 adult males, and 40 non boarding children aged 8 to 10 from one primary school were selected from each township (street). At the same time, 100 pregnant women with current addresses in Daxing District, Beijing were selected from one obstetrics hospital in Daxing District every year. Once random urine sample was collected from all survey subjects, and the household edible salt samples were collected from children and 400 pregnant women for determination of urinary iodine and salt iodine levels.Results:From 2020 to 2023, a total of 3 022 urine samples were collected, including 920, 700, 702, and 700 samples from children aged 8 - 10, pregnant women, women of childbearing age, and adult males, respectively. The median urinary iodine levels were 181.1, 135.0, 144.0, and 140.0 μg/L, respectively. There were statistically significant differences in urinary iodine levels among children aged 8 - 10, pregnant women, and women of childbearing age in different years ( H = 77.88, 9.40, 22.11, P < 0.05). A total of 1 320 household edible salt samples were collected from children aged 8 - 10 and pregnant women. Among them, 920 salt samples were collected from children, the median salt iodine was 21.3 mg/kg, the iodized salt coverage rate was 88.48% (814/920), and the qualified iodized salt consumption rate was 80.76% (743/920). Four hundred salt samples were collected from pregnant women, the median salt iodine was 21.8 mg/kg, the coverage rate of iodized salt was 90.25% (361/400), and the consumption rate of qualified iodized salt was 77.50% (310/400). The results of correlation analysis showed there was no correlation between urinary iodine level of children aged 8 to 10 and pregnant women with their salt iodine level ( r = 0.06, 0.07, P = 0.055, 0.142). Conclusions:Pregnant women in Daxing District, Beijing are at a deficiency level in iodine nutrition, with children aged 8 - 10, women of childbearing age, and adult males all at an appropriate level of iodine nutrition. We should strengthen health education for pregnant women and ensure that they receive sufficient iodine nutrition. At the same time, relevant departments should increase the supervision and management of iodized salt.