OBJECTIVE Identify the incentive and constraint factors of artificial intelligence （AI） application in the pharmaceutical field， and promote the application of AI in the field of pharmacy. METHODS Based on the technology acceptance model （TAM）， technology-organization-environment （TOE） framework， and diffusion of innovation theory （DOI）， a TAM-TOE-DOI integrated framework was constructed through a four-stage research process of “theoretical review → dimension mapping → mechanism integration → proposition development”. Combining the analytical pathways of the above three theories in AI application in pharmacy with the integration mechanisms and core propositions of the TAM-TOE-DOI， literature review and deductive reasoning were employed to systematically identify the incentive and constraint factors of AI application in pharmacy from three levels：micro （TAM）， meso （TOE）， and macro （DOI）， and to propose optimization strategies. RESULTS & CONCLUSIONS At the micro level， the efficiency transformation and quality improvement brought by AI technology were the main incentive factors for perceived usefulness， while technological complexity and algorithmic opacity were the main constraint factors for perceived ease of use. At the meso level， the completeness of technological infrastructure， the strength of top management support and innovation climate， as well as external institutional pressure and competitive driving forces were the core incentive factors， whereas scarcity of organizational resources and talent shortage were the main constraint factors. At the macro level， relative advantage and observability were typical incentive factors， while technological complexity was a typical constraint factor. China’s health administration， medical insurance authorities， and other relevant departments should coordinate efforts at the macro， meso， and micro levels to advance AI application in pharmacy： optimizing human-computer interaction and implementing tiered training programs at the micro level； reinforcing organizational support systems and capacity building at the meso level； dismantling data barriers and building social trust at the macro level. Differentiated implementation pathways should be developed for medical institutions at different tiers.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

OBJECTIVE To optimize the molding process of Xiebai Granules(XG)using the Box-Behnken design-response surface method combined with the BP neural network method,and to evaluate the consistency of particle quality between different bat-ches by establishing physical fingerprint.METHODS Dry paste powder was used as the main drug,dry granulation was adopted,and the forming rate,dissolution rate,moisture absorption rate and angle of repose of the granules were used as evaluation indexes,the ex-cipients dextrin,maltodextrin and lactose of the particles,were screened by single factor test combined with simplex-lattice design and entropy weight method,and the optimal excipient ratio was selected.The entropy weight method combined with the Box-Behnken de-sign-response surface method and the BP neural network algorithm were used to optimize the process parameters,and the process veri-fication was carried out.The physical fingerprint was used to comprehensively characterize the bulk density(Da),hygroscopicity(H),moisture(HR),tap density(Dc),angle of repose(α),Hausner ratio(IH),relative uniformity index(Iθ),Carr index(IC),and in-terparticle pore number(Ie),and the consistency of particle quality in different batches was evaluated.RESULTS The optimal ratio of excipients was dextrin 15%,maltodextrin 48%,and lactose 37%.The optimal process parameters were conveying speed 95 r·min-1,pressure wheel speed 4 r·min-1 and hydraulic pressure 7 MPa.The similarity of the physical fingerprints of the five bat-ches of XG was greater than 0.98.CONCLUSION The optimized molding process of XG is stable and feasible,and the quality of different batches of XG is stable,which can provide a reference for the development and industrial scale-up production of XG.

Objective·To analyze the clinicopathologic characteristics,gene mutation profile,and prognostic factors of patients with adrenal diffuse large B-cell lymphoma(DLBCL).Methods·From March 2002 to December 2022,a total of 105 patients with adrenal DLBCL admitted to Ruijin Hospital,Shanghai Jiao Tong University School of Medicine were retrospectively analyzed for their clinicopathological data,survival outcomes,and prognostic factors.Patients'gene mutation profiles were evaluated by targeted sequencing of 152 lymphoma-related genes.Results·The median age of the patients was 62(15?82)years and the male-to-female ratio was 2.3∶1.Among them,63 patients(60.0%)were over 60 years old,22 patients(21.0%)had an Eastern Cooperative Oncology Group(ECOG)performance status of two or higher,87 patients(82.9%)were staged Ann Arbor Ⅲ?Ⅳ,92 patients(87.6%)had elevated serum lactate dehydrogenase(LDH)levels(above the upper limit of reference),84 patients(80.0%)had extranodal invasion in at least two organs,67 patients(63.8%)were of non-germinal center B-cell(non-GCB)origin,and 95 patients(90.5%)had an international prognosis index(IPI)scored over 2.With a median follow-up of 28.3(0.7?191.9)months,the estimated 2-year overall survival(OS)rate and progression-free survival(PFS)rate were 68.3%and 53.1%,respectively.The estimated 5-year OS rate and PFS rate were 52.6%and 44.0%,respectively.Among 93 patients who could be evaluated for clinical outcomes,62(66.7%)got a complete response(CR).Univariate analysis and multivariate Cox analysis revealed that age over 60 years was an adverse prognostic factor for PFS,and ECOG performance status of two or higher was an adverse prognostic factor for both OS and PFS.Targeted gene sequencing in 46 adrenal diffuse DLBCL patients showed high mutation frequencies in lysine methyltransferase 2D(KMT2D;n=17,37%),Pim-1 proto-oncogene,serine/threonine kinase(PIM1;n=17,37%),MYD88 innate immune signal transduction adaptor(MYD88;n=15,33%),CD79b molecule(CD79B;n=13,28%),and BTG anti-proliferation factor 2(BTG2;n=10,22%).Conclusion·Age over 60 years is an adverse prognostic factor for PFS,and ECOG performance status of two or higher is an adverse prognostic factor for both OS and PFS in patients with adrenal DLBCL.Patients exhibited high frequencies of KMT2D,PIM1,MYD88,CD79B,and BTG2 mutations,as well as an increased proportion of the MCD-like subtype.

Objective·To investigate the clinicopathologic features,gene mutation profile,and real-world survival prognosis of diffuse large B-cell lymphoma(DLBCL)with pulmonary involvement.Methods·The clinical data of 110 patients with newly diagnosed,pathologically confirmed DLBCL and pulmonary involvement at Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,between August 2003 and December 2022 were retrospectively collected and analyzed.Evaluation of the efficacy of treatment,survival analyses,and univariate and multivariate analyses were performed in 88 patients who received a first-line regimen based on rituximab in combination with cyclophosphamide,doxorubicin/epirubicine,vincristine,and prednisone(R-CHOP).A total of 74 patients underwent targeted DNA sequencing of 55 lymphoma-related genes and were evaluated for mutations.Results·Among the 110 patients,72(65.5%)were>60 years old,52(47.3%)were female,92(83.6%)presented with Ann Arbor stage Ⅲ?Ⅳ,20(18.2%)had ECOG scores≥2,75(68.2%)had elevated lactate dehydrogenase(LDH)levels,79(71.8%)had≥2 extranodal involvements,32(31.4%)were classified as germinal center B-cell subtype,22(26.8%)were diagnosed with double expressor lymphoma,and 4(4.6%)with double-hit lymphoma.Among the patients treated with R-CHOP-based first-line regimens,the objective response rate(ORR)was 68.2%,the 5-year progression-free survival(PFS)rate was 43.7%,and the 5-year overall survival(OS)rate was 65.4%.Univariate analysis showed that elevated LDH and ECOG score≥2 were poor prognostic factors for PFS and OS,and mutations in PIM1 and CD79B were poor prognostic factors for PFS among high-frequency mutations.Multivariate analysis showed that elevated LDH was an independent adverse prognostic factor for PFS(HR=2.47,95%CI 1.28?4.77)and OS(HR=2.71,95%CI 1.21 ? 6.07).Targeted sequencing results showed that PIM1(25.7%),MYD88(24.3%),TP53(18.9%),CD79B(17.6%),KMT2D(17.6%),and TNFAIP3(16.2%)were the high-frequency mutations with mutation rates over 15%.Conclusion·Elevated LDH is an independent adverse prognostic factor for PFS and OS in DLBCL with pulmonary involvement.Mutations in PIM1,MYD88,TP53,CD79B,KMT2D,and TNFAIP3 are frequently observed in this population.

Objective To explore the characteristics and prognosis of follicular lymphoma(FL)with bulky disease under rituximab-based first-line treatment.Methods A retrospective analysis was conducted on 525 FL patients diagnosed between September 2009 and September 2021 who received rituximab as a first-line treat-ment[342 patients received rituximab combined with chemotherapy(R-chemo),183 patients received rituximab plus lenalidomide(R2)].The clinicopathologic characteristics,gene mutations,and prognosis of bulky FL patients were analyzed.Results Compared to non-bulky FL patients,bulky FL patients had a significantly higher proportion of lymph node≥5 sites,≥2 extranodal involvement,bone marrow involvement,elevated LDH,and a higher proportion in the high-risk group of FLIPI1 and FLIPI2.Gene sequencing revealed a significantly higher mutation rate of ZNF608 in bulky FL patients compared to non-bulky FL patients.In patients receiving R-chemo as the first-line treatment,there was no significant difference in progression-free survival(PFS)and overall survival(OS)between bulky and non-bulky FL patients.However,in patients treated with R2,the PFS and OS of bulky FL patients was significantly shorter.Conclusions Bulky FL patients compared to non-bulky FL patients have a significantly higher proportion of high-risk baseline characteristics.For bulky FL at diagnosis,chemo-free regimens require further exploration on the basis of R2.

Objective To investigate the mechanism of the miR-518a-5p/histone deacetylase 6(HDAC6)axis in DNA oxidative damage in ovarian cancer(OC)SKOV3 cells.Methods Expression levels of miR-518a-5p and HDAC6 mRNA in OC tissues and in various cancer cells(A2780,SKOV3,CAOV3)were detected by qRT-PCR.SKOV3 cells were separated into Control,miR-NC,miR-518a-5p mimics,miR-518a-5p mimics+pcDNA-NC,and miR-518a-5p mimics+pc-HDAC6 groups.Cell proliferation and apoptosis were analyzed by colony-forming assay and Hoechst 33258 staining.Expression of phosphorylated histone H2AX(γ-H2AX)was detected by immunofluorescence assay and reactive oxygen species(ROS)were detected by flow cytometry.HDAC6,Bcl-2-associated X protein(Bax),and B-cell lymphoma-2(Bcl-2)protein expression were analyzed by Western blot.The regulatory relationship between miR-518a-5p and HDAC6 was analyzed by dual luciferase assay.The effect and mechanism of miR-518a-5p on oxidative DNA damage in OC cells were studied in a xenotransplantation tumor model.Results miR-518a-5p expression was decreased and HDAC6 expression was increased in OC tissues and A2780,SKOV3,and CAOV3 cells(P＜0.001).Expression levels of miR-518a-5p were lowest and expression levels of HDAC6 were highest in SKOV3 cells,and SKOV3 cells were therefore selected for subsequent experiments.miR-518a-5p expression,apoptosis rate,number of γ-H2AX-positive cells,relative ROS fluorescence intensity,and expression of Bax were all higher in the miR-518a-5p mimics group compared with the miR-NC group,while HDAC6 mRNA and protein expression,Bcl-2 expression,and colony-formation number were all lower(P＜0.001).HDAC6 mRNA and protein expression,colony-formation number,and expression of Bcl-2 were higher in the miR-518a-5p mimics+pc-HDAC6 group compared with the miR-518a-5p mimics+pcDNA-NC group,and the apoptosis rate,number of γ-H2AX-positive cells,relative ROS fluorescence intensity,and expression of Bax were all lower(P＜0.001).HDAC6 had a targeted regulatory relationship with miR-518a-5p.Overexpression of miR-518a-5p decreased tumor volume,weight,and HDAC6 protein expression in tumor tissues,and increased γ-H2AX expression in vivo(P＜0.001).Upregulation of HDAC6 expression by overexpression of miR-518a-5p increased graft tumor volume,weight,and HDAC6 protein expression and decreased γ-H2AX-positive expression(P＜0.05).Conclusions miR-518a-5p expression is reduced and HDAC6 expression is increased in OC tissues and cells.Overexpression of miR-518a-5p can induce oxidative DNA damage in SKOV3 cells by inhibiting HDAC6 expression,thereby inhibiting cell proliferation and promoting cell apoptosis.