With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

Objective:To investigate the action mechanism of formononetin(FN)in regulating T helper type 1(Th1)cell dif-ferentiation and macrophage polarization through JAK/STAT signaling pathways in a mouse model of experimental autoimmune prostati-tis(EAP).Methods:Forty non-obese diabetic(NOD)male mice were randomly divided into four groups:normal control,EAP model control,low-dose FN(LFN,50 mg/kg)and high-dose FN(HFN,100 mg/kg).The EAP model was established in the latter three groups by subcutaneous injection of prostate antigens(PAgs)combined with complete Freund's adjuvant(CFA).After modeling,the mice in the LFN and HFN groups were treated intragastrically with FN at 50 and 100 mg/kg/d,respectively,and those in the nor-mal and model controls groups with carboxymethylcellulose sodium(CMC-Na).At 42 days after treatment,all the animals were killed and relevant tissues collected for observation of the pathological changes in the prostate tissue by HE staining,detection of Th1 cell dif-ferentiation and macrophage polarization in the prostate by immunofluorescence double staining(labeling CD4 and interferon-γ[IFN-γ],inducible nitric oxide synthase[iNOS]and CD206),measurement of the ratio of Th1 cells/macrophages in the spleen by flow cy-tometry and the levels of IFN-γ and tumor necrosis factor-α(TNF-α)in the serum by ELISA,and determination of the expressions of phosphorylated(p)-Janus kinase(JAK)1,JAK1,p-JAK2,JAK2,p-signal transducer and activator of transcription(STAT1)in the prostate tissue by Western blot.Results:Compared with the model controls,the mice treated with low-and high-dose FN exhibited more orderly arrangement of glandular epithelial cells,significantly reduced prostatic tissue inflammation scores(P＜0.05),and de-creased proportion of Th1 cells and expression of M1 macrophages(P＜0.05),but increased expression of M2 macrophages in the prostate and spleen tissues(P＜0.05).Besides,the levels of inflammatory cytokines IFN-γ(P＜0.05)and TNF-α(P＜0.05)in the serum of the mice in the LFN and HFN groups were remarkably reduced,and so were the ratios of p-JAK1/JAK1,p-JAK2/JAK2 and p-STAT1/STAT1 in the prostate tissues at the molecular level(P＜0.05),indicating the therapeutic effect of FN on EAP by regu-lating JAK/STAT signaling pathways,promoting inflammation resolution,and restoring immune balance.Conclusion:FN alleviates EAP by inhibiting JAK/STAT signaling pathways and regulating Th1 cell differentiation and macrophage polarization.

Aim To investigate the effect of icariin(ICA)on chronic ulcerative colitis(UC)in mice.Methods Male SPF-grade C57BL/6J mice were ran-domly divided into the control group,model group,low-dose ICA group,and high-dose ICA group.Except for the control group,the rest of the mice were established as chronic UC models.Expressions of tight junction proteins,inflammatory factors,fibrosis markers,macro-phage markers,and MAPK signaling pathways in the colonic epithelium of each group were determined by Western blot,qPCR,immunohistochemistry;the degree of intestinal damage and fibrosis was detected by HE and Masson staining;the co-localization of different macrophage markers with related factors was examined by immunofluorescence.Results Treatment of ICA significantly improved the general condition of chronic UC mice,decreased the infiltration of M1-type macro-phages and the secretion of pro-inflammatory factors,inhibited the MAPK signaling pathway,reduced the co-localization expression of M1-type macrophages with the MAPK signaling pathway,and downregulated the infiltration of M2-type macrophages and the secretion of pro-fibrotic factors in the colon.Conclusion ICA mitigates the inflammatory damage and fibrosis of colon in chronic UC mice.

Objective To design an 8-channel gene analyzer to take the place of the widely used gene analyzer with problems in inconvenient consumable replacement and short storage time of electrophoresis polymer.Methods The 8-channel gene analyzer had its mechanical components composed of an automatic sample loading table,a polymer injection module,a high-voltage temperature control module,an optical module and an integrated U box,its electrical control system made up of a host computer(an embedded computer)and three slave computers(a sampling control board,a polymer injection control board and a high-voltage temperature control board).The automatic sample loading table involved in four motors and transmission systems for x,y,z directions and optical alignment,the transmission systems adopted mainly belt drive mode and the optical alignment motor had its threads with an anti-backlash structure;the polymer injuection module was manipulated by the polymer injection control board,and the polymer block was made of highly transparent acrylic material;the high-voltage temperature control module realized the regulation of electrophoresis voltage and the detection of electrophoresis current by the low-ripple precision high-voltage power supply,and controlled the temperature of the heating furnace by the proportional-integral-differential(PID)algorithm;the optical module consisted of an excitation module and a light-receiving module,which had the base of the reflector made of low expansion coefficient alloy material;the integrated U box had the electrophoresis polymer,capillary array,polymer block and anode buffer in a plastic housing;the host computer had the data acquisition software programmed with C# and C++,and the slave computers were controlled by STM32 SCM.Results The 8-channel gene analyzer had no significant differences with the widely used ABI3500 gene analyzer in resolution,precision accuracy and clinical results.Conclusion The 8-channel gene analyzer gains advantages in consumable replacement and storage time of electrophoresis polymer,and can meet the requirements for gene sequencing.[Chinese Medical Equipment Journal,2025,46(2):24-30]

Objective:To compare the midium-to-long-term clinical outcomes of Ceramage? polymer ceramic composite resoin on-lay and CAD/CAM fabricated all-ceramic onlays in the restoration of endodontically treated posterior teeth.Methods:A total of 75 patients with 92 endodontically treated posterior teeth exhibiting class Ⅱ defects were included and randomly divided into two groups:the Ceramage? composite resin group(48 teeth)and the CAD/CAM fabricated all-ceramic group(44 teeth).The respective restora-tions were performed,and patients were followed up for 24 months.Clinical outcomes of the restorations and periodontal conditions were evaluated using the modified USPHS criteria,and patient satisfaction was assessed.Results:After 24 months of follow-up,the Ceramage? composite resin group showed higher rates of secondary caries,marginal discrepancy,and marginal discoloration,as well as higher plaque index,gingival index,and sulcus bleeding index compared to the CAD/CAM fabricated all-ceramic group.Howev-er,the Ceramage? group exhibited lower rates of restoration wear and fracture(P＜0.05).Patient satisfaction was similar between the two groups(P＞0.05).Conclusion:Both Ceramage? polymer ceramic composite resoin onlay and CAD/CAM fabricated all-ce-ramic onlays achieved favorable mid-to-long-term clinical outcomes.The choice of restoration method should comprehensively con-sider the patient's oral condition and restorative needs.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

Objective:To establish a quality and safety evaluation index system for the daytime chemotherapy in the Day Medical Management Quality Control Center of Fujian Province, providing references for objectively evaluating the quality of day chemotherapy.Methods:From December 2023 to August 2024, this study screened the initial indexes of the quality and safety evaluation index system for daytime chemotherapy through literature search and expert discussions. An index system and its weights were determined by using two rounds of Delphi method and precedence chart method. The quality of daytime chemotherapy services in 8 hospitals was evaluated by using a thousand point scale checklist based on this index system.Results:The expert motivation of both rounds of Delphi method was 100%, and the expert authority coefficient was 0.92. The quality and safety evaluation index system for daytime chemotherapy included 3 first-level indicators, 13 second-level indicators, and 54 third-level indicators; Among them, the weights of the first-level indicator included structure quality, process quality, and result quality were 0.334, 0.556, and 0.110, respectively. The quality and safety scores of daytime chemotherapy in 8 hospitals ranged from 812 to 980 points, with an average of 933 points.Conclusions:The quality and safety evaluation index system for daytime chemotherapy could objectively and comprehensively evaluate the quality and safety of hospital daytime chemotherapy.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.