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.

Objective:To explore the mechanisms of action of Huanglian Jiedu decoction combined with Xijiao Dihuang decoction (HLJDT-XJDH) in regulating fibroblasts in the treatment of psoriasis. Methods:A mouse model of psoriasis was established by topical application of imiquimod 5% cream on the shaved back; HLJDT-XJDH at different doses of 7.7 and 30.6 g/kg was administered via gavage for intervention, and methotrexate (2 mg/kg) served as a positive control; after 7 days, the severity of skin lesions was assessed using the psoriasis area and severity index (PASI), while histopathological changes of skin tissues were evaluated using hematoxylin-eosin (HE) staining and Baker scoring. For in vitro experiments, fibroblasts were divided into a control group, a model group, a low-dose (5% drug-containing serum) intervention group, and a high-dose (20% drug-containing serum) intervention group; cells in the control group were cultured with 20% normal rat serum for 24 hours; in the model group, cells cultured with 20% normal rat serum were stimulated with 5 ng/ml tumor necrosis factor (TNF) -α and 50 ng/ml interleukin (IL) -17A for 24 hours to mimic fibroblasts during the occurrence of psoriasis; cells in the low- and high-dose intervention groups received the same stimulation as the model group, and were cultured for 24 hours with 5% and 20% HLJDT-XJDH-containing serum, respectively, but not with the 20% normal rat serum. After the above treatment, these cells were co-cultured with keratinocytes (HaCaT cells) using a Transwell system. In addition, on the basis of the control group, fibroblasts were divided into the model group, 20% drug-containing serum intervention group, and 20% drug-containing serum intervention + OE-SFRP2 group; TNF-α and IL-17A were used to stimulate the cells to simulate the psoriatic state; the treatment in the 20% drug-containing serum intervention group was carried out as previously described; in the 20% drug-containing serum intervention + OE-SFRP2 group, cells were transfected with the vector for 48 hours to establish an overexpression model, followed by culture with 20% drug-containing serum for 24 hours, without co-culture with HaCaT cells.. Cell counting kit-8 (CCK-8) assay was performed to assess cell viability, flow cytometry to measure apoptosis rates, enzyme-linked immunosorbent assay (ELISA) to detect levels of inflammatory cytokines (TNF-α, IL-1β, IL-6) as well as chemokine ligand (CXCL) 1 and CXCL12 in mouse serum or cell culture supernatant, qPCR to determine the mRNA expression of inflammatory cytokines, chemokines, cell cycle- and proliferation-related factors, as well as SFRP2 in mouse skin tissues or cells, and Western blot analysis to determine the protein expression of SFRP2, Wnt3a, and β-catenin in fibroblasts. One-way analysis of variance was employed for intergroup comparisons, and post-hoc analysis was conducted using Tukey's test. Results:In vivo mouse experiments showed that compared with the normal control group, the model group exhibited typical psoriatic characteristics in skin morphology, including significant inflammatory infiltration in skin tissues and marked epidermal thickening; compared with the normal control group, the serum levels of TNF-α (531.16 ± 28.27 pg/ml vs. 239.58 ± 10.39 pg/ml), IL-1β (111.40 ± 5.16 pg/ml vs. 80.35 ± 3.87 pg/ml), and IL-6 (109.17 ± 4.84 pg/ml vs. 71.73 ± 2.04 pg/ml) significantly increased in the model group, along with their mRNA expression levels in mouse skin tissues (all P < 0.001) ; compared with the model group, the treatment group showed alleviated psoriatic manifestations, and significant reductions in the levels of inflammatory factors TNF-α (low-dose, high-dose, and positive control groups: 420.80 ± 29.30 pg/ml, 322.33 ± 9.40 pg/ml, 322.97 ± 12.16 pg/ml, respectively), IL-1β (98.69 ± 4.49 pg/ml, 89.02 ± 1.56 pg/ml, 88.88 ± 2.08 pg/ml, respectively), and IL-6 (94.07 ± 3.76 pg/ml, 80.54 ± 3.30 pg/ml, 83.21 ± 3.18 pg/ml, respectively), as well as in their mRNA expression levels (all P < 0.001). In in vitro fibroblast experiments, compared with the control group, the model group exhibited a significant elevation in the supernatant levels of IL-1β (126.42 ± 3.56 pg/ml vs. 34.81 ± 0.44 pg/ml), IL-6 (459.44 ± 9.35 pg/ml vs. 115.51 ± 7.26 pg/ml), CXCL1 (2 434.88 ± 127.63 pg/ml vs. 762.85 ± 30.60 pg/ml) and CXCL12 (3 542.14 ± 35.86 pg/ml vs. 2 095.86 ± 45.12 pg/ml), the expression levels of their mRNAs (all P < 0.001), as well as the protein expression levels of SFRP2, Wnt3a, and β-catenin; after intervention with HLJDT-XJDH-containing serum, all the above indices significantly decreased (all P < 0.001). However, when 20% drug-containing serum intervention was administered simultaneously, the expression of inflammatory factors and chemokines in fibroblasts was significantly higher in the SFRP2 overexpression group than in the non-overexpression group (all P < 0.01). When fibroblasts were co-cultured with HaCaT cells, the model group showed significantly increased cell viability but a decreased apoptosis rate of HaCaT cells compared with the control group, while the low- and high-dose intervention groups showed significantly decreased cell viability but increased apoptosis rates of HaCaT cells compared with the model group (all P < 0.05) . Conclusion:HLJDT-XJDH may exert therapeutic effects in psoriasis by downregulating the SFRP2/Wnt/β-catenin signaling pathway, thereby inhibiting fibroblast activation and inflammatory process, which subsequently suppresses the proliferation of keratinocytes and the activation of inflammatory cells.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective:To explore the mechanisms of action of Huanglian Jiedu decoction combined with Xijiao Dihuang decoction (HLJDT-XJDH) in regulating fibroblasts in the treatment of psoriasis. Methods:A mouse model of psoriasis was established by topical application of imiquimod 5% cream on the shaved back; HLJDT-XJDH at different doses of 7.7 and 30.6 g/kg was administered via gavage for intervention, and methotrexate (2 mg/kg) served as a positive control; after 7 days, the severity of skin lesions was assessed using the psoriasis area and severity index (PASI), while histopathological changes of skin tissues were evaluated using hematoxylin-eosin (HE) staining and Baker scoring. For in vitro experiments, fibroblasts were divided into a control group, a model group, a low-dose (5% drug-containing serum) intervention group, and a high-dose (20% drug-containing serum) intervention group; cells in the control group were cultured with 20% normal rat serum for 24 hours; in the model group, cells cultured with 20% normal rat serum were stimulated with 5 ng/ml tumor necrosis factor (TNF) -α and 50 ng/ml interleukin (IL) -17A for 24 hours to mimic fibroblasts during the occurrence of psoriasis; cells in the low- and high-dose intervention groups received the same stimulation as the model group, and were cultured for 24 hours with 5% and 20% HLJDT-XJDH-containing serum, respectively, but not with the 20% normal rat serum. After the above treatment, these cells were co-cultured with keratinocytes (HaCaT cells) using a Transwell system. In addition, on the basis of the control group, fibroblasts were divided into the model group, 20% drug-containing serum intervention group, and 20% drug-containing serum intervention + OE-SFRP2 group; TNF-α and IL-17A were used to stimulate the cells to simulate the psoriatic state; the treatment in the 20% drug-containing serum intervention group was carried out as previously described; in the 20% drug-containing serum intervention + OE-SFRP2 group, cells were transfected with the vector for 48 hours to establish an overexpression model, followed by culture with 20% drug-containing serum for 24 hours, without co-culture with HaCaT cells.. Cell counting kit-8 (CCK-8) assay was performed to assess cell viability, flow cytometry to measure apoptosis rates, enzyme-linked immunosorbent assay (ELISA) to detect levels of inflammatory cytokines (TNF-α, IL-1β, IL-6) as well as chemokine ligand (CXCL) 1 and CXCL12 in mouse serum or cell culture supernatant, qPCR to determine the mRNA expression of inflammatory cytokines, chemokines, cell cycle- and proliferation-related factors, as well as SFRP2 in mouse skin tissues or cells, and Western blot analysis to determine the protein expression of SFRP2, Wnt3a, and β-catenin in fibroblasts. One-way analysis of variance was employed for intergroup comparisons, and post-hoc analysis was conducted using Tukey's test. Results:In vivo mouse experiments showed that compared with the normal control group, the model group exhibited typical psoriatic characteristics in skin morphology, including significant inflammatory infiltration in skin tissues and marked epidermal thickening; compared with the normal control group, the serum levels of TNF-α (531.16 ± 28.27 pg/ml vs. 239.58 ± 10.39 pg/ml), IL-1β (111.40 ± 5.16 pg/ml vs. 80.35 ± 3.87 pg/ml), and IL-6 (109.17 ± 4.84 pg/ml vs. 71.73 ± 2.04 pg/ml) significantly increased in the model group, along with their mRNA expression levels in mouse skin tissues (all P < 0.001) ; compared with the model group, the treatment group showed alleviated psoriatic manifestations, and significant reductions in the levels of inflammatory factors TNF-α (low-dose, high-dose, and positive control groups: 420.80 ± 29.30 pg/ml, 322.33 ± 9.40 pg/ml, 322.97 ± 12.16 pg/ml, respectively), IL-1β (98.69 ± 4.49 pg/ml, 89.02 ± 1.56 pg/ml, 88.88 ± 2.08 pg/ml, respectively), and IL-6 (94.07 ± 3.76 pg/ml, 80.54 ± 3.30 pg/ml, 83.21 ± 3.18 pg/ml, respectively), as well as in their mRNA expression levels (all P < 0.001). In in vitro fibroblast experiments, compared with the control group, the model group exhibited a significant elevation in the supernatant levels of IL-1β (126.42 ± 3.56 pg/ml vs. 34.81 ± 0.44 pg/ml), IL-6 (459.44 ± 9.35 pg/ml vs. 115.51 ± 7.26 pg/ml), CXCL1 (2 434.88 ± 127.63 pg/ml vs. 762.85 ± 30.60 pg/ml) and CXCL12 (3 542.14 ± 35.86 pg/ml vs. 2 095.86 ± 45.12 pg/ml), the expression levels of their mRNAs (all P < 0.001), as well as the protein expression levels of SFRP2, Wnt3a, and β-catenin; after intervention with HLJDT-XJDH-containing serum, all the above indices significantly decreased (all P < 0.001). However, when 20% drug-containing serum intervention was administered simultaneously, the expression of inflammatory factors and chemokines in fibroblasts was significantly higher in the SFRP2 overexpression group than in the non-overexpression group (all P < 0.01). When fibroblasts were co-cultured with HaCaT cells, the model group showed significantly increased cell viability but a decreased apoptosis rate of HaCaT cells compared with the control group, while the low- and high-dose intervention groups showed significantly decreased cell viability but increased apoptosis rates of HaCaT cells compared with the model group (all P < 0.05) . Conclusion:HLJDT-XJDH may exert therapeutic effects in psoriasis by downregulating the SFRP2/Wnt/β-catenin signaling pathway, thereby inhibiting fibroblast activation and inflammatory process, which subsequently suppresses the proliferation of keratinocytes and the activation of inflammatory cells.

Objective To develop the functions and optimize the automatic monitoring module for arrhythmias of the adverse drug event active surveillance and assessment system-Ⅱ,in order to continuously improve the performance,enhance the monitoring efficiency,and explore the ways to optimize the module.Methods Expand and optimize the functions of the module,increase the customized configuration,and determine the optimal setting conditions;compare the optimized test data with the results of the evaluation studies on the automatic monitoring of drug-induced arrhythmias in large samples of medicated population previously,and verify the optimization extent as well as the accuracy of the module.Results In the new module optimized according to the characteristics of the monitoring population,the function of"mandatory medical order keywords"was added,and it was determined that the inclusion of 6 electrocardiogram examination-related medical order keywords with a frequency of not less than 2 occurrences was the optimal configuration condition for the optimization of the module;combining the results of the previous automatic monitoring and evaluation researches,the system functions were verified and compared under the conditions of using the whole drugs and 2 kinds of single drug.While there was no loss of true positive cases,the number of cases with system alarms decreased by 30.75％,80.13％and 90.82％,respectively,compared with that before the optimization of the module,and the positive predictive value was significantly improved.Conclusion After the function expansion and optimization,the automatic monitoring module of drug-induced arrhythmias significantly reduces the labor cost of case evaluation and keeps the accuracy of monitoring results constant;the new module can better adapt to the demands of different automatic monitoring modes and operates stably,which is more generalizable and flexible,and provides a new way of considering for the research and development of automatic monitoring modules.

Objective To obtain the occurrence and clinical characteristics of central nervous system adverse drug reactions(CNS-ADR)associated with three kinds of carbapenems,and to provide reference for clinical drug safety.Methods Based on adverse drug event active surveillance and assessment system-Ⅱ(ADE-ASAS-Ⅱ),retrospective automated monitoring of inpatients using imipenem,meropenem,and biapenem in a tertiary hospital from January 2022 to December 2022 was conducted.The incidence of carbapenem related CNS-ADR was calculated,and the basic conditions,disease conditions,drug use,occurrence time of ADR and symptoms of patients with CNS-ADR were analyzed by descriptive statistics.Results A total of 2 482 patients with 2 709 times of medication were included in this study,and a total of 93 positive cases of CNS-ADR occurred,with an overall incidence of 3.43％for all three medications,3.98％for imipenem,3.51％for meropenem,and 2.78％for biapenem.The indications for the 93 positive cases of CNS-ADR were mainly pulmonary infections(59.13％)and abdominal infections(25.80％);they occurred mostly within 7 days of the administration of the medication;with a variety of clinical manifestations,with anxiety/irritability being the most common,and epilepsy appearing most frequently in severe cases.Co-administration of proton pump inhibitors and cephalosporins accounted for a greater proportion of positive cases,50.54％of positive cases had a history of surgery,and 69.89％of positive cases were associated with electrolyte disturbances.Conclusion Clinical use of carbapenems should be based on the actual situation of the patient to develop an individualised drug regimen,and special attention should be paid to patients with comorbidities of renal disease,electrolyte disorders,and a history of previous surgery and neurological disorders,in order to reduce the risk of the occurrence of CNS-ADR.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

This is the first reported case of a female with monkeypox infection in Kunming City,Yunnan Province.An epi-demiological investigation was conducted to provide a scientific basis for the prevention and control of monkeypox epidemics in China,especially for early detection in females in accordance with the"Monkeypox prevention and control program(2023 ver-sion)".Diagnosis was performed as described in the"Monkeypox Diagnosis and Treatment Guidelines(2022 version)".Speci-mens were collected for laboratory testing.The epidemiological investigation determined that the female patient had sexual in-tercourse with her newly married husband once before disease onset and the husband hid his history of male homosexual sex.The laboratory test results of the woman and her husband were positive for the nucleic acid of the monkeypox virus.Both had typical clinical symptoms,including rash.The epidemiological investigation,clinical symptoms,laboratory test results,and previous epidemic data of monkeypox in Yunnan province confirmed the woman as the first female infected with monkeypox in Yunnan Province and her husband was the presumed source of infection.

Objective To propose a SSA-BP algorithm based on the back propagation(BP)neural network and sparrow search algorithm(SSA)to predict battery remaining life accurately.Methods Firstly,the total number of the weights and thresholds was determined with the structure of the BP neural network;secondly,the initial weights and thresholds were optimized using the SSA algorithm and assigned to the BP neural network;and finally,the predicted output values were obtained by training the input samples.The data of 18650 model lithium batteries at different ambient temperatures(4,24,43 ℃)were selected for testing,and the prediction accuracy of the SSA-BP neural network algorithm and BP neural network algorithm on the remaining life of medical device batteries was verified by the mean absolute error,root mean square error and mean absolute percentage error.Results The SSA-BP algorithm had the average absolute error,root mean square error and mean absolute percentage error lower than those of the BP neural network when used to predict battery remaining life.Conclusion The SSA-BP algorithm can effectively predict battery remaining life,and enhances battery reliability during practical application.[Chinese Medical Equipment Journal,2024,45(8):21-25]

Objective To calculate the pre-stretching of the microscopic components of the aortic wall under physiological homeostasis by considering a three-dimensional(3D)residual stress field.Methods The aortic wall was simplified into a double-layer ideal circular tube,and the 3D residual stress field of the vascular wall was calculated based on a 3D expansion angle experiment.Then,the in vivo stress distribution characteristics under mean blood pressure and the pre-stretching of each microscopic constituent of the vascular wall under a physiologically steady state were obtained.The inverse problem was constructed according to the internal pressure-radius relationship measured in vivo.Physiological homeostasis of the aorta was considered the reference state,and inversion identification of the material parameters of the aorta in vivo was realized while integrating the three residual stress fields.Results When residual stress was not considered,the mean stress of the middle membrane was greater than that of the outer membrane.When residual stress was considered,the outer membrane bore more stress than the middle membrane,and the outer membrane protected the middle membrane.The pre-stretching of the middle film with residual stress was lower than that without residual stress,whereas the pre-stretching of the outer film was higher than that without residual stress.Moreover,the pre-stretching of the outer membrane collagen fibers was greater than that of the middle membrane collagen fibers.The in vivo calculations of the material parameters of the aorta were performed using physiological homeostasis as the reference configuration,and the proportion of each component was consistent with the experimental results.However,the proportion of elastin in the outer membrane was significantly overestimated when the non-stress configuration was used as the initial configuration,which was inconsistent with the experimental results.Conclusions Residual stress significantly influences the pre-stretching and physiologically steady mechanical states of the microscopic components of the aortic wall.Therefore,it is necessary to fully consider the influence of residual stress to establish the physiologically steady state of the aortic wall accurately.Furthermore,it is also necessary to fully consider the 3D characteristics and layer specificity of residual stress in the in vivo identification of material parameters.