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.

Computational approaches, encompassing both physics-based and machine learning (ML) methodologies, have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities. The human dopamine (DA) transporter (hDAT) is the primary therapeutic target of numerous psychiatric medications. However, traditional hDAT-targeting drugs, which interact with the primary binding site, encounter significant limitations, including addictive potential and stimulant effects. In this study, we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape (WHALES) descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs. Initially, WHALES descriptors facilitated a similarity search, employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates. Consequently, from a compound library of 4,921 marketed and clinically tested drugs, we identified 27 candidate atypical inhibitors. Subsequently, ADMETlab was employed to predict the pharmacokinetic and toxicological properties of these candidates, while induced-fit docking (IFD) was performed to estimate their binding affinities. Six compounds were selected for in vitro assessments of neurotransmitter reuptake inhibitory activities. Among these, three exhibited significant inhibitory potency, with half maximal inhibitory concentration (IC₅₀) values of 0.753 μM, 0.542 μM, and 1.210 μM, respectively. Finally, molecular dynamics (MD) simulations and end-point binding free energy analyses were conducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation. In conclusion, our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.

Objective To develop a method for rapidly identifying Clostridioides difficile(C.difficile)and de-termining high-producing toxin strains,conduct clinical evaluation.Methods The loop-mediated isothermal amplifi-cation(LAMP)method was used to identify C.difficile based on the tcdC,tcdA,and tcdB genes.The sensitivi-ty,specificity,and overall consistency of the detection method were evaluated.Results Feces specimens from 499 hospitalized patients suspected of C.difficile-associated diarrhea were detected,with C.difficile detection rate of 12.8％(64/499),out of which the detection rate of toxin-producing C.difficile was 10.8％(54/499).The sensi-tivity,specificity,positive predictive value,and negative predictive value of the detection method for tcdA were 87.2％,98.9％,89.1％,and 98.6％,respectively,and 88.2％,99.6％,90.0％,and 98.73％for tcdB,respec-tively.The total toxin levels of different strains were different,but the average toxin production level of A+B+strains(1.79 μg/mL)was higher than those of A-B+strains(0.72 μg/mL)and A-B-strains(＜0.10 μg/mL).Conclusion The portable high-throughput LAMP detection method can rapidly and efficiently identify C.difficile and determine high-producing toxin strains.

Objective To develop a differentiated performance evaluation system for surgical and non-surgical clinical departments based on Diagnosis-Related Groups(DRG),promoting refined hospital management.Methods Data from 13 clini-cal departments in a tertiary hospital in Tibet Autonomous Region(2022-2024)were analyzed and evaluated using the entropy weight method combined with the TOPSIS method and quadrant analysis.Results A dual-track evaluation system was estab-lished,comprising 10 indicators for surgical departments and 9 for non-surgical departments.Weight analysis revealed that the proportion of Grade Ⅳ surgeries(weight 0.20)and total DRG weight(0.13)were core competitiveness indicators for surgical departments,while the proportion of patients with RW≥2.0(0.29)and Case Mix Index(CMI)(0.15)were key drivers for non-surgical departments.TOPSIS evaluation showed that orthopedics and general surgery ranked highest among surgical depart-ments,whereas pediatric ward Ⅱ and internal medicine ward Ⅰ led among non-surgical departments.Evaluation results were con-sistent over the three-year period and aligned with quadrant analysis.Conclusion The classification-based evaluation system for clinical departments facilitates refined hospital management.It is recommended for application in performance appraisal and other management initiatives to further enhance high-quality hospital development.

Objective:To investigate the effect of Zhuyu Tongluo Tang combined with manual release on isokinetic muscle strength and serum TGF-β1 and IGF-1 levels in patients with joint stiffness after ankle fracture surgery.Methods:A prospective study was conducted on 80 patients with ankle fractures who experienced joint stiffness during the recovery period after surgery at Nanchang Hongdu Traditional Chinese Medicine Hospital from March 2021 to March 2024.The patients were randomly divided into control group(n=40)and observation group(n=40)using a random number table method.Both groups of patients received routine intervention,followed by manual release therapy in control group;observation group received treatment in combination with Zhuyu Tongluo Tang on the basis of control group,with a treatment course of 4 weeks.Compared treatment outcomes,isokinetic muscle strength test indicators,American Orthopaedic of Foot and Ankle Society(AOFAS),ankle activity score(AAS),visual analog scale(VAS),traditional Chinese medicine syndrome score,and changes in dorsiflexion angle from two groups of patients before and after 4 weeks of treatment,and measured serum levels of TGF-β1 and insulin-like growth factor-1(IGF-1).Results:After treatment,effective rate of control group was 75.00%,while effective rate of observation group was 92.50%(P<0.05);PT,PT/BW and TW of observation group and control group were significantly increased,and PT,PT/BW and TW of observation group were significantly higher than those of control group(all P<0.05);AOFAS and AAS scores of observation group and control group were significantly increased,while VAS score was significantly decreased.AOFAS and AAS scores of observation group were significantly higher than those of control group,while VAS score was significantly lower than those of control group(both P<0.05);scores and total scores of various traditional Chinese medicine symptoms in observation group and control group were significantly reduced,and observation group was significantly lower than that in control group(both P<0.05);dorsiflexion angle of the foot in both observation group and control group were significantly increased,and the increase in observation group was greater than that in control group(both P<0.05);levels of TGF-β1 and IGF-1 in both obser-vation group and control group were significantly increased,and levels of TGF-β1 and IGF-1 in observation group were significantly higher than those in control group(both P<0.05).Conclusion:Combination of Zhuyu Tongluo Tang and manual release can improve the symptoms of joint stiffness and traditional Chinese medicine syndromes during the recovery period of ankle fractures,increase the functional score and isokinetic muscle strength index of the ankle joint,raise the levels of TGF-β1 and IGF-1,and improve the patient's dorsiflexion angle.This treatment regimen has good clinical efficacy.

Pharmacovigilance impact research(PIR),as an important application field of pharmacoepidemiology,has attracted continuous attention in recent years from drug regulatory authorities,pharmaceutical manufacturers,and the academic community both domestically and internationally.This paper provides an interpretation of PIR based on the Guide for Methodology in Pharmacoepidemiologic Research(2nd edition).First,an overview of the implications of PIR will be provided,focusing on the pathways of pharmacovigilance activities and the significant importance of conducting PIR.Second,it reviews commonly used study designs and presents illustrative case examples.Building on this,the specific statistical considerations relevant to PIR were discussed.Finally,the challenges and prospects of conducting pharmacovigilance impact studies in a scientific and standardized manner are summarized.Compared with the previous edition,the 2nd edition has expanded the application scenarios of pharmacoepidemiology to include new areas such as PIR.Drawing on the guideline content and practical experience,this paper provides a detailed introduction and case analysis of PIR,serving as a reference for researchers engaged in this field.

OBJECTIVE To explore the implementation and standardized management of infection control core ele-ments in grass-roots medical institutions within county-level medical communities.METHODS From Mar.2024 to Apr.2024,the current status of implementation of infection control core elements in the grass-roots medical institu-tions within county-level medical communities was investigated by means of questionnaire survey and qualita-tive interview,and the implementation strategies were further explored.RESULTS The infection management or-ganizational system and functions of the two county-level medical institutions within the county medical communi-ties were completed,there is no independent hospital infection management department in the primary medical in-stitutions.The infection management personnel in the 16 grass-roots medical institutions were part-time person-nel,the personnel with the educational background below junior college accounted for 84.21％,the personnel with the professional background of nursing accounted for 100.00％,the personnel with less than 5 years of working experience accounted for 78.95％,none of them had an on-the-job training certificate.The monitoring programs of the county-level medical institutions within the county medical communities were completed,there was no infec-tion management monitoring information platform in the grass-roots medical institutions.The infection cases,hand hygiene,environmental health and occupational exposures were monitored by people.The grass-roots medi-cal institutions had the highest requirements for various professional trainings and increase of training contents of prevention and control of public health infectious diseases(100.00％).The county-level medical institutions had inadequate capabilities of professional examination of medical equipment replacement and construction of medi-cal architecture.CONCLUSION It is necessary for the country and local levels of governments to attach great importance to the implementation of the infection control core elements in the grass-roots medical institutions within the county-lev-el medical communities,establish the county-level regional information platform,formulate the corresponding surveil-lance indexes and homogenized management systems,complete the cultivation of talents,and offer financial support.

Objective To develop a differentiated performance evaluation system for surgical and non-surgical clinical departments based on Diagnosis-Related Groups(DRG),promoting refined hospital management.Methods Data from 13 clini-cal departments in a tertiary hospital in Tibet Autonomous Region(2022-2024)were analyzed and evaluated using the entropy weight method combined with the TOPSIS method and quadrant analysis.Results A dual-track evaluation system was estab-lished,comprising 10 indicators for surgical departments and 9 for non-surgical departments.Weight analysis revealed that the proportion of Grade Ⅳ surgeries(weight 0.20)and total DRG weight(0.13)were core competitiveness indicators for surgical departments,while the proportion of patients with RW≥2.0(0.29)and Case Mix Index(CMI)(0.15)were key drivers for non-surgical departments.TOPSIS evaluation showed that orthopedics and general surgery ranked highest among surgical depart-ments,whereas pediatric ward Ⅱ and internal medicine ward Ⅰ led among non-surgical departments.Evaluation results were con-sistent over the three-year period and aligned with quadrant analysis.Conclusion The classification-based evaluation system for clinical departments facilitates refined hospital management.It is recommended for application in performance appraisal and other management initiatives to further enhance high-quality hospital development.

Objective To develop a method for rapidly identifying Clostridioides difficile(C.difficile)and de-termining high-producing toxin strains,conduct clinical evaluation.Methods The loop-mediated isothermal amplifi-cation(LAMP)method was used to identify C.difficile based on the tcdC,tcdA,and tcdB genes.The sensitivi-ty,specificity,and overall consistency of the detection method were evaluated.Results Feces specimens from 499 hospitalized patients suspected of C.difficile-associated diarrhea were detected,with C.difficile detection rate of 12.8％(64/499),out of which the detection rate of toxin-producing C.difficile was 10.8％(54/499).The sensi-tivity,specificity,positive predictive value,and negative predictive value of the detection method for tcdA were 87.2％,98.9％,89.1％,and 98.6％,respectively,and 88.2％,99.6％,90.0％,and 98.73％for tcdB,respec-tively.The total toxin levels of different strains were different,but the average toxin production level of A+B+strains(1.79 μg/mL)was higher than those of A-B+strains(0.72 μg/mL)and A-B-strains(＜0.10 μg/mL).Conclusion The portable high-throughput LAMP detection method can rapidly and efficiently identify C.difficile and determine high-producing toxin strains.

OBJECTIVE To explore the implementation and standardized management of infection control core ele-ments in grass-roots medical institutions within county-level medical communities.METHODS From Mar.2024 to Apr.2024,the current status of implementation of infection control core elements in the grass-roots medical institu-tions within county-level medical communities was investigated by means of questionnaire survey and qualita-tive interview,and the implementation strategies were further explored.RESULTS The infection management or-ganizational system and functions of the two county-level medical institutions within the county medical communi-ties were completed,there is no independent hospital infection management department in the primary medical in-stitutions.The infection management personnel in the 16 grass-roots medical institutions were part-time person-nel,the personnel with the educational background below junior college accounted for 84.21％,the personnel with the professional background of nursing accounted for 100.00％,the personnel with less than 5 years of working experience accounted for 78.95％,none of them had an on-the-job training certificate.The monitoring programs of the county-level medical institutions within the county medical communities were completed,there was no infec-tion management monitoring information platform in the grass-roots medical institutions.The infection cases,hand hygiene,environmental health and occupational exposures were monitored by people.The grass-roots medi-cal institutions had the highest requirements for various professional trainings and increase of training contents of prevention and control of public health infectious diseases(100.00％).The county-level medical institutions had inadequate capabilities of professional examination of medical equipment replacement and construction of medi-cal architecture.CONCLUSION It is necessary for the country and local levels of governments to attach great importance to the implementation of the infection control core elements in the grass-roots medical institutions within the county-lev-el medical communities,establish the county-level regional information platform,formulate the corresponding surveil-lance indexes and homogenized management systems,complete the cultivation of talents,and offer financial support.