As a distinctive resource of Chinese civilization， traditional Chinese medicine （TCM） technology transfer faces significant opportunities under the background of digital and intelligent transformation， while also being constrained by unique challenges such as the complexity of its theoretical system， lengthy industrial chains， and multidimensional policy restrictions， resulting in a "high-value-high-threshold" paradox. At present， TCM technology transfer is deeply trapped in a "threefold reluctance" dilemma， i.e.， unwillingness to transfer， inability to transfer， and lack of capacity to transfer. Specifically， the disconnection between scientific research evaluation systems and market demand leads to low conversion rates of research achievements， unclear ownership and compliance risks suppress innovation incentives， and the absence of professional services intensifies supply-demand mismatches. This article systematically analyzes the specific characteristics of TCM technology transfer and proposes a breakthrough pathway centered on full-chain digital and intelligent transformation. By integrating technologies such as intelligent sorting systems， blockchain-based traceability， and AI diagnostic models， the TCM ecosystem spanning "cultivation-production-service" can be reconstructed. In terms of standardization， promoting the progression from "experience-based data conversion" to "data standardization" and further to "intelligent standardization" is advocated to resolve quality control challenges. For example， a "three-no-one-full" certification system can strengthen quality trust. Policy coordination should focus on optimizing mechanisms for the transformation of scientific and technological achievements， while exploring intellectual property securitization and risk-sharing models to stimulate research momentum. In terms of internationalization， reliance on the Belt and Road Initiative platform to promote the export of geo-authentic medicinal material brands and standards is recommended to build a dual-driven model of "technology plus culture". Looking ahead， through the construction of national-level databases， the cultivation of interdisciplinary talent， and the mutual recognition of international standards， a new paradigm of "scientific intelligent manufacturing" can be formed， providing systematic solutions for the modernization of TCM and global health governance.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

AIM To establish an HPLC-MS/MS method for the simultaneous content determination of gallic acid,protocatechuic acid,oxypaeoniflorin,catechin,epicatechin,albiflorin,paeoniflorin,rutin,calycosin-7-glucoside,syringaldehyde,ferulic acid,coumarin,ononin,calycosin,cinnamic alcohol,cinnamic acid,benzoylpaeoniflorin,cinnamaldehyde,astragaloside,astragaloside Ⅲ,6-gingerol in Huangqi Guizhi Wuwu Decoction.METHODS The analysis was performed on a 30 ℃ thermostatic Thermo Scientific Hypersil GOLD column(150 mmx4.6 mm,3 μm),with the mobile phase comprising of 0.015％formic acid-acetonitrile flowing at 0.4 mL/min in a gradient elution manner,and electrospray ionization source was adopted in positive and negative ion modes with multiple reaction monitoring.RESULTS Twenty-one constituents showed good linear relationships within their own ranges(r＞0.990 5),whose average recoveries were 93.99％-108.52％with the RSDs of 1.04％-5.97％.CONCLUSION This simple,feasible,stable and reliable method can be used for the quality control of Huangqi Guizhi Wuwu Decoction.

Objective:To investigate the expression and clinical value of integrin-associated protein 47 (CD47) and soluble programmed death receptor-ligand 1 (sPD-L1) in patients with primary immune thrombocytopenia (ITP).Methods:The method of retrospective study was adopted, 76 patients with ITP admitted to the Affiliated Hospital of Jining Medical University from July 2016 to July 2022 were regarded as the study group, and another 76 cases of physical examination were regarded as the control group. The levels of serum CD47, sPD-L1, interleukin-33(IL-33) and transforming growth factor beta (TGF-β) were determined by the enzyme-linked immunosorbent assay, the diagnostic value of CD47 and sPD-L1 for ITP was analyzed by the receiver operating characteristic (ROC) curve, Pearson test was applied to analyze the correlation between serum CD47 and sPD-L1 in ITP patients, multivariate Logistic regression analysis was applied to analyze the risk factors affecting ITP.Results:The levels of serum CD47, sPD-L1 and IL-33 in the study group were higher than those in the control group: (40.31 ± 6.59) μg/L vs. (32.16 ± 6.33) μg/L, (78.42 ± 10.22) ng/L vs. (64.49 ± 10.36) ng/L, (73.29 ± 14.26) ng/L vs. (26.54 ± 5.16) ng/L; the level of serum TGF-β in the study group was lower than that in the control group: (1 752.66 ± 310.73) ng/L vs. (2 625.88 ± 389.58) ng/L, there were statistical differences ( P<0.05). The result of the Pearson test showed that there was a positive correlation between serum CD47 and sPD-L1 in ITP patients ( r = 0.572, P<0.05). The result of the ROC curve showed that the area under the curve predicted by the combination of serum CD47 and sPD-L1 was 0.948 (95% CI 0.916 - 0.979), which was better than that predicted by CD47 and sPD-L1 alone ( P<0.05). The result of multivariate Logistic regression analysis showed that CD47, sPD-L1, and IL-33 were the risk factors affecting ITP ( P<0.05), and TGF-β was the protective factor affecting ITP ( P<0.05). Conclusions:The serum levels of CD47 and sPD-L1 in patients with ITP are elevated, and the combined detection of the two indicators has a good diagnostic value for ITP.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Background::The increasing incidence of inflammatory bowel disease (IBD) presents significant medical and societal challenges. A well-designed IBD database is crucial for both epidemiological studies and clinical management. However, inconsistencies between regional databases hinder cross-institutional and international research, especially between Eastern and Western societies.Methods::We developed a new IBD database, the 301 IBD database, integrating the IBD clinical characteristics from the Penn IBD database (USA) and the latest IBD guidelines and consensus and clinical practices of the Chinese PLA General Hospital (PLAGH). We applied this database to analyze clinical data of IBD inpatients at PLAGH from 2008 to 2023.Results::The 301 IBD database contains 490 items in 6 sections including demographic characteristics, personal history, clinical phenotype, disease activity, laboratory tests and examinations, and treatment. Features of the 301 IBD database include inpatient focus, biochemical indicators and opportunistic infection focus, and more about ulcerative colitis (UC)-associated complications. Single-center analysis revealed an increasing hospitalization trend, from 2.35% in 2008 to 3.94% in 2023. We found that the clinical characteristics of our UC inpatients are predominantly male (62.5%), extensive lesions (55.1%), low usage of biologics (4.1%), and a high incidence of UC-CRC (3.0%). The clinical characteristics of CD inpatients included male predominance (68.39%), early onset age (35.43 ± 14.75-year-old), and high rate of surgery (25.81%).Conclusion::The 301 IBD database, integrating Eastern and Western clinical data, provides a valuable tool for IBD clinical research. Future international, multicenter collaborations are expected to further enhance its utility.

Background::The increasing incidence of inflammatory bowel disease (IBD) presents significant medical and societal challenges. A well-designed IBD database is crucial for both epidemiological studies and clinical management. However, inconsistencies between regional databases hinder cross-institutional and international research, especially between Eastern and Western societies.Methods::We developed a new IBD database, the 301 IBD database, integrating the IBD clinical characteristics from the Penn IBD database (USA) and the latest IBD guidelines and consensus and clinical practices of the Chinese PLA General Hospital (PLAGH). We applied this database to analyze clinical data of IBD inpatients at PLAGH from 2008 to 2023.Results::The 301 IBD database contains 490 items in 6 sections including demographic characteristics, personal history, clinical phenotype, disease activity, laboratory tests and examinations, and treatment. Features of the 301 IBD database include inpatient focus, biochemical indicators and opportunistic infection focus, and more about ulcerative colitis (UC)-associated complications. Single-center analysis revealed an increasing hospitalization trend, from 2.35% in 2008 to 3.94% in 2023. We found that the clinical characteristics of our UC inpatients are predominantly male (62.5%), extensive lesions (55.1%), low usage of biologics (4.1%), and a high incidence of UC-CRC (3.0%). The clinical characteristics of CD inpatients included male predominance (68.39%), early onset age (35.43 ± 14.75-year-old), and high rate of surgery (25.81%).Conclusion::The 301 IBD database, integrating Eastern and Western clinical data, provides a valuable tool for IBD clinical research. Future international, multicenter collaborations are expected to further enhance its utility.

Objective:To analyze the effect of altitude on NIH-CPSI score in patients with chronic prostatitis/chronic pelvic pain syndrome(CP/CPPS)Methods:Clinical data and the results of NIH-CPSI Questionnaire of the 321 patients with CP/CPPS at different altitudes were collected from March 2021 to March 2022.And the influence of altitudes on NIH-CPSI score of CP/CPPS was analyzed.Result:The NIH-CPSI score of patients living at an altitude of 4 300 m was significantly higher than that of patients living at an altitude of 1 500 m and 2 200 m.The CP/CPPS patients who lived in the higher altitude had more severe symptoms of pain and urination as well as lower scores of life quality(P＜0.05).Conclusion:NIH-CPSI score increased significantly with higher alti-tude,indicating more severe symptoms and decreased quality of life in CP/CPPS patients.These findings highlight the need for man-agement strategies for specific heights in patients with CP/CPPS.

Objective: To evaluate the efficacy of the left spermatic vein transposition to the great saphenous vein in treating left varicocele (VC) secondary to nutcracker syndrome (NCS). Methods: Clinical data of 8 patients treated during Feb.2020 and Feb.2023 in our hospital were retrospectively analyzed.A meticulous preoperative evaluation of the vascular status of the spermatic vein and the great saphenous vein was performed using color Doppler ultrasound.A spermatic vein-great saphenous vein shunt surgery was performed in patients who were strictly selected.The clinical symptoms and hemodynamics of renal vein were compared before and after operation. Results: The median age of patients was 23.5(18-33) years.There was a notable reduction in post-exercise scrotal and lower back pain in all patients，and the score of scrotal pain decreased to 0 in 7 patients. The median quantification of urinary protein was 352.8(54.4-687.3) mg prior to surgical intervention，which significantly diminished to 125.5(25.9-255.1) mg 6 months after operation.Notably，3 cases of preoperative positive urine occult blood tests were undetectable in the subsequent postoperative assessments.The median peak blood flow velocity at the site of stenosis in the left renal vein measured at 74.4(48.7-117.6) cm/s preoperatively，subsequently reduced to 45.1(25.5-61.2) cm/s postoperatively.During the 6-month follow-up，no recurrence of varicocele，vascular anastomotic stenosis or thrombosis were observed. Conclusion: Our research indicates that spermatic vein to great saphenous vein bypass is safe and feasible in the treatment of left varicocele secondary to nutcracker syndrome for strictly selected patients，which can effectively alleviate renal vein congestion without significant complications.

Objective This study aims to explore the correlation between the grade of testicular tissue damage and clinical features which is used to evaluate the viability of testicular tissue after the orchidopexy for testicular torsion.Methods We conducted a retrospective,multicenter analysis of pathological specimens obtained from patients who under-went unilateral orchiectomy due to testicular torsion.Tissue viability was reassessed by the Mikuz grading scale.The corre-lations among tissue viability,duration of torsion symptoms,the angle of torsion,preoperative Doppler ultrasound image and intraoperative testicular resuscitation methods were analyzed.Results Eighty-five pathological specimens were en-rolled from 4 medical centers.The age range was 18 years(IQR 14-33),with a median torsion angle of 480°(IQR 180°-1080°).The interval from the torsion onset to surgical intervention was 18 hours(IQR 9-84).In the subgroup analysis of different torsion durations,the distribution of Grade I injuries was as follows.The subgroup within 12 hours ac-counted for 37.5％.The subgroup between 12 to 24 hours accounted for 14.28％.And the subgroup between 24 to 48 hours ac-counted for 6.45％.The subgroup exceeding 48 hours only accounted for 3.13％.Four patients received orchiectomy due to pre-operative ultrasound image indicating necrosis,correlating with Mikuz grade 3 tissue damage.The decision was made based on the failure of color recovery of affected testis in 57 cases,revealing 12.28％with grade 1 and 35.89％with grade Ⅱ damage.Twenty-four cases were identified as an Arda score of 3,with 4.16％showing grade 1 and 20.83％showing grade Ⅱ Mikuz damage.The method of Arda's grading could be used to determine the vitality of testicular tissue more accurately compared to the post-resusci-tation color observation method(P=0.032).Conclusion Pathological reassessment provides a precise determination of tis-sue viability in the affected testis.In some instances,the testicular tissue damage can be found potentially reversible.