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.

On June 27， 2026， the Asian Pacific Association for the Study of the Liver （APASL） released updated management guidelines for chronic HBV infection， which systematically elaborates on screening， vaccination， antiviral treatment， and hepatocellular carcinoma surveillance and other aspects in 13 key areas， and provides comprehensive recommendations. This article summarizes and makes an excerpt of the key recommendations from the updated guidelines.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

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 To investigate the influencing factors of the course of perioperative prophylactic antibiotics in patients undergoing total hip arthroplasty,and explore management strategies for enhancing perioperative prophylactic medication administration.Methods The clinical data for patients undergoing total hip arthroplasty at Affiliated Hospital of Chengdu University from January,2020 to September,2024 were retrospectively collected.Patients were divided into a 24 h group and a 48-72 h group based on the duration of prophylactic antibacterial therapy.The general characteristics,surgical-related indicators,preoperative and postoperative laboratory test results,and surgical outcome measures between the two groups of patients were compared.Multivariate Logistic regression analysis was performed to identify influencing factors associated with prolonged duration of prophylactic antibacterial therapy.Results A total of 126 patients who underwent total hip arthroplasty were enrolled,including 74 cases in the 24 h group and 52 cases in the 48-72 h group.Univariate analysis results showed that there were statistically significant differences in the following indicators between the two groups:surgical cause,surgical duration,intraoperative blood loss,drainage duration of plasma drainage tubes,preoperative white blood cell count,and preoperative neutrophil count(P<0.05).The results of multivariate Logistic regression analysis showed that the reason for surgery and the duration of plasma drain tube drainage were the influencing factors of antimicrobial treatment course for total hip arthroplasty(P<0.05).The results of receiver operating characteristic curve analysis showed that the prediction model(constructed based on the drainage time of plasma drainage tube)for prophylactic antimicrobial treatment course to 48-72 h was 0.721.When the drainage time of plasma drainage tubes was≥40.56 h,the risk of requiring prophylactic antimicrobial therapy for an extended course of 48-72 h increased significantly.Conclusion The patient's surgical reason and the duration of plasma drain drainage may be related to the prophylactic antimicrobial course of more than 24 hours.Clinical pharmacists may utilize this parameter as a patient-specific characteristic,with the support of information systems,the hierarchical patient management can be implemented,thereby enhancing the effectiveness of medication surveillance and progressively elevating the 24 h discontinuation rate of perioperative prophylactic antibiotics.

As an important endocrine organ of human body,adipose tissue secrets a large amount of endocrine fac-tors that regulate a variety of physiological functions,and role of adiponectin in cardiovascular system is especially important.At the cellular and molecular level,adiponectin possesses profound anti-inflammatory,anti-oxidative and anti-apoptotic effects,which can reduce various pathogenic factors of cardiovascular diseases(CVD).In ad-vanced stage of CVD,the expression of adiponectin in adipose tissue as well as its circulating level compensatively increased.Therefore,adiponectin has a protective effect on the cardiovascular system,and increased adiponectin level may suggest severe CVD.In this review article,we systematically introduced the role of adiponectin in CVD and discussed its application prospects as a clinical biomarker.

BACKGROUND:In previous studies,the equivalent structure of three-dimensional cell reconstruction of tissue engineering oral mucosa is similar to normal oral mucosa,including epithelial-like structure,lamina propria-like structure,and vascular lumen-like structure,and has initially achieved the establishment of vascular equivalent,but its vascularization characteristics are not very clear.OBJECTIVE:Vascular-like structures of vascularized oral mucosa equivalent were obtained by targeting vascular endothelial cells specific marker expression profiles correlated with laser capture microdissection system,and their vascularization ability was evaluated to reveal their vascularization characteristics.METHODS:Human gingival epithelial cells were cultured from human gingival epithelium and human gingival fibroblasts,human gingival mesenchymal stem cells were cultured from human gingival lamina propria.Human gingival mesenchymal stem cells were induced to differentiate into vascular endothelial-like cells after monoclonal expansion culture.Human gingival epithelial cells,human gingival fibroblasts,and vascular endothelial-like cells were loaded with acellular vascular matrix-0.25%human-like collagen type Ⅰ scaffold to construct the vascularized oral mucosa equivalent.The layered structure of oral mucosa equivalent(experimental group)and the acellular vascular matrix-0.25%human-like collagen type Ⅰ scaffold(control group)were implanted subcutaneously into the back of nude mice,respectively.14 days later,the incision surface of the two groups was coated with biogel.The biogel surface of the experimental group was inoculated with human gingival epithelial cells,while the control group was not inoculated with cells.The samples were collected after 14 days of feeding.The layered structure of oral mucosa equivalent was observed by morphology.The neovascular-like structures in oral mucosa equivalents were labeled by immunohistochemistry and immunofluorescence with a more comprehensive expression profile of vascular endothelial cells,and the vascularization characteristics were analyzed.A laser capture microdissection system was used to capture the neovascularization structures in the oral mucosa equivalents specifically labeled by immunohistochemistry and analyze their vascularization characteristics.RESULTS AND CONCLUSION:(1)The morphology showed that the cell level of oral mucosa equivalent was clear,and the structure was similar to that of normal oral mucosa,that is,there were epithelioid structures,lamina-like structures,and vascular cavelike structures,and there were scattered erythrocytes in the vascular cavelike structures.(2)The results of EdU Apollo tracer seed cells in the oral mucosa equivalent group showed that human gingival epithelial cells labeled with EdU Apollo 488 showed green fluorescence expression.DAPI labeled human gingival fibroblasts showed blue fluorescence expression and formed lamina-like structures in vivo.EdU Apollo 567 labeled vascular endothelial-like cells showed red fluorescence expression and formed a vascular-like structure in vivo.(3)Vascular endothelial cell specific marker expression profile immunofluorescence labeling of vascular structure showed that compared with normal oral mucosa,the expressions of CD31,CD51,CD54,CD105,Tie-2,VWF,vascular endothelial growth factor receptor 1,and vascular endothelial growth factor receptor 2 in oral mucosa equivalents were increased(P<0.000 1).There were no significant changes in CD34 expression(P>0.05).(4)Compared with the specifically labeled oral mucosal vascular structures,the expression levels of CD51,CD54,CD105,Tie-2,VWF,vascular endothelial growth factor receptor 1,and vascular endothelial growth factor receptor 2 of the oral mucosa equivalents targeted by the laser capture microdissection system were increased(P<0.000 1).There were no significant changes in expression of CD31 and CD34(P>0.05).(5)The results showed that the oral mucosa equivalent reconstructed by three-dimensional cell stratification could achieve good vascularization,and its vascularization characteristics were consistent with the immunological function and characteristics of neovascularization.Vascularization helps three-dimensional cell layer reconstruction of oral mucosa equivalent regeneration.

Objective To compare the efficacy of uterine artery embolization(UAE)combined with dilation and curettage(D&C)versus high intensity focused ultrasound(HIFU)combined with D&C in patients with cesarean scar pregnancy(CSP).Methods A total of 106 CSP patients treated at Northwest Women's and Children's Hospital were selected.They were divided into the UAE group(n=55)and the HIFU group(n=51)according to the treatment methods.The general clinical data,operation duration,and blood loss during D&C procedure were statistically compared using t-test or Mann-Whitney U test.Results Overall analysis revealed that the operation duration and blood loss were lower in the UAE group than that in the HIFU group(P＜0.05).Stratified analysis showed no significant difference in operation duration during D&C between the UAE group and the HIFU group for patients with mild CSP(type Ⅰ)(P=0.552).The blood loss of D&C in the UAE group was less than that in the HIFU group(P=0.030).In severe CSP patients(types Ⅱ and Ⅲ),both operation duration and blood loss during D&C were significantly lower in the UAE group than those in the HIFU group.Conclusion UAE may be more advantageous in treating patients with severe CSP(types Ⅱ and Ⅲ)due to shorter operative time and less bleeding.

ObjectiveTo evaluate the efficacy of Shuanghua drink in treating primary dysmenorrhea in the rat model and explore its mechanism of action. MethodsAn oxytocin-induced writhing mouse model was established to evaluate the analgesic effect of Shuanghua drink. Forty-eight non-pregnant female institute of cancer research （ICR） mice were randomly divided into six groups， including a blank group， a model group， an ibuprofen group （85.00 mg·kg^-1）， a low-dose group of Shuanghua drink （7.14 mL·kg^-1）， a medium-dose group of Shuanghua drink （14.28 mL·kg^-1）， and a high-dose group of Shuanghua drink （28.57 mL·kg^-1）. Each group consisted of eight mice. All treatment groups received daily intragastric administration at corresponding doses for 10 consecutive days. One hour after the final administration， 2 U of oxytocin was intraperitoneally injected per mouse. The writhing latency and number of writhing within 20 minutes were recorded. A primary dysmenorrhea rat model was established by using estradiol benzoate and oxytocin to evaluate the inhibitory effect of Shuanghua drink on the contraction of uterine smooth muscle. Forty-eight non-pregnant female Sprague-Dawley （SD） rats were divided into six groups， including a blank group， a model group， an ibuprofen group （51.00 mg·kg^-1）， a low-dose group of Shuanghua drink （4.28 mL·kg^-1）， a medium-dose group of Shuanghua drink （8.57 mL·kg^-1）， and a high-dose group of Shuanghua drink （17.10 mL·kg^-1）. Each group consisted of eight rats. Rats received subcutaneous injections of estradiol benzoate for 10 consecutive days to enhance uterine sensitivity. On the eleventh day， oxytocin （2 U/rat） was intraperitoneally administered to induce abnormal uterine contractions for establishing the primary dysmenorrhea model. All treatment groups received daily intragastric administration from the second day of modeling for 10 days. The effects of Shuanghua drink were evaluated by using parameters including uterine motility and the variation rate of uterine motility. The mechanism of action was investigated in rats with primary dysmenorrhea. The content of prostaglandin F_2α （PGF_2α）， prostaglandin E₂ （PGE₂）， thromboxane B₂ （TXB₂）， prostacyclin metabolite （6-keto-PGF_1α）， and β-endorphin （β-EP） in uterine tissue of rats was detected by using enzyme-linked immunosorbent assay （ELISA）. The changes in the content of nitric oxide （NO） and inducible nitric oxide synthase （iNOS） were analyzed via colorimetric assay. Western blot was performed to determine the content of phosphorylated inhibitor of kappa B kinase beta （p-IKKβ）/IKKβ， phosphorylated inhibitor of kappa B alpha （p-IκBα）， IκBα， phosphorylated p65 （p-p65）， p65， and cyclooxygenase-2 （COX-2） proteins in uterine tissue of rats. ResultsIn the oxytocin-induced writhing mouse model， the model group exhibited significantly shortened writhing latency and increased writhing frequency compared to the control group （P<0.01）. Both the ibuprofen group and the high-dose group of Shuanghua drink displayed prolonged writhing latency （P<0.05）， while the ibuprofen group and the low-dose， medium-dose， and high-dose groups of Shuanghua drink exhibited reduced writhing frequency （P<0.01）. In the primary dysmenorrhea rat model， the uterine motility and its variation rate in the model group were significantly higher than those in the blank group （P<0.01）. These parameters were markedly suppressed by ibuprofen and Shuanghua drink at all tested doses （P<0.01）. For the mechanism of action， the model group showed significantly increased PGF_2α/PGE₂， TXB₂/6-keto-PGF_1α， NO， and iNOS in uterine tissue （P<0.05， P<0.01） and significantly decreased β-EP （P<0.01）. These parameters were significantly attenuated in the ibuprofen group and the low-dose， medium-dose， and high-dose groups of Shuanghua drink. The PGF_2α/PGE₂ （P<0.01）， TXB₂/6-keto-PGF_1α （P<0.01）， NO （medium-dose group P<0.05）， and iNOS （P<0.01） were reduced， and the β-EP （medium-dose group P<0.05） was up-regulated. Compared to the model group， the ibuprofen group and medium-dose group of Shuanghua drink showed significantly increased content of β-EP in the serum of rats （P<0.05）. Compared to the blank group， the model group showed significantly elevated expressions of COX-2， p-IKKβ/IKKβ， p-IκBα/IκBα， and p-p65/p65 proteins （P<0.01） and significantly reduced anti-inflammatory protein IκBα （P<0.05）. Compared to the model group， the ibuprofen group and the low-dose， medium-dose， and high-dose groups of Shuanghua drink showed significantly reduced expressions of COX-2 （P<0.01）， p-IKKβ/IKKβ （P<0.01）， p-IκBα/IκBα （P<0.05， P<0.01）， and p-p65/p65（P<0.01） and up-regulated expression of IκBα protein （P<0.05， P<0.01）. ConclusionShuanghua drink effectively alleviates primary dysmenorrhea through analgesia and suppression of abnormal contractions of uterine smooth muscle. Its mechanism may be mediated by reduced levels of PGF_2α/PGE₂， TXB₂/6-keto-PGF_1α， iNOS， and NO， elevated β-EP level， and inhibited COX-2/NF-κB signaling pathway.