OBJECTIVE To systematically evaluate the correlation between dynamic changes in inflammatory markers during treatment with epidermal growth factor receptor-tyrosine kinase inhibitors （EGFR-TKIs） in non-small cell lung cancer （NSCLC） patients and therapeutic efficacy， with the aim of providing evidence-based support for clinical prognosis assessment and treatment strategy adjustment. METHODS Databases including PubMed， Embase， Cochrane Library， CNKI， Wanfang Data， and CBM were searched from the inception to July 20， 2025. Following literature screening， data extraction and quality assessment， descriptive analysis was conducted on the outcomes of included studies. RESULTS A total of eight studies were included to analyze the correlation of 6 inflammatory markers before and after treatment with EGFR-TKIs with therapeutic efficacy. The risk of bias assessment identified six high-quality studies and two moderate-quality studies. Among these studies， seven studies demonstrated that lower levels of neutrophil-to-lymphocyte ratio （NLR）， derived neutrophil-to-lymphocyte ratio （dNLR）， platelet-to-lymphocyte ratio （PLR）， and monocyte-to-lymphocyte ratio （MLR）， higher lymphocyte-to-monocyte ratio （LMR） before treatment， as well as decreased NLR and MLR and increased LMR after treatment were associated with longer median progression-free survival. Five studies indicated that lower levels of NLR， dNLR， PLR， and interleukin-6 （IL-6）， higher LMR before treatment as well as decreased NLR and dNLR and increased LMR were associated with longer median overall survival. Three studies indicated that lower levels of IL-6 were associated with a higher objective response rate， while the association of these markers after treatment remained controversial； another study showed that an early decline in NLR， MLR， and PLR after treatment may be associated with objective response benefit. CONCLUSIONS Lower inflammatory levels during EGFR-TKIs therapy correlate with better therapeutic efficacy in NSCLC patients.

Objective To explore the short-term efficacy of endoscopic submucosal dissection (ESD) in the treatment of early carcinoma in the remnant stomach. Methods A retrospective study was conducted on 45 patients with early residual gastric cancer underwent ESD at the Endoscopy Center of Zhongshan Hospital, Fudan University from December 2014 to April 2024, with a total of 45 lesions. The patients were divided into an anastomotic group (n=15) and a non-anastomotic group (n=30) based on the location of tumor occurrence, and their clinical data, endoscopic diagnosis and treatment, and histopathological conditions were compared between the two groups. Results All 45 patients had lesions with redness and erosion. There were 9 cases of poor lifting of submucosal injection in the anastomotic group and 2 cases in the non-anastomotic group, respectively, and the difference was statistically significant (P<0.05). ESD surgery was performed on 13 lesions in the anastomotic group and 28 lesions in the non-anastomotic group, with surgery times of 80.00 (50.00, 100.00) min and 55.00 (43.75, 80.00) min, respectively. The difference in surgery time between the two groups was statistically significant (P=0.03). Among the 45 patients, ESD surgery achieved curative resection in 35 cases, including 11 cases in the anastomotic group and 24 cases in the non-anastomotic group, with no statistically significant difference. Conclusions Careful preoperative evaluation of early carcinoma in the remnant stomach is essential to prevent oversight. Lesions at anastomotic sites and suture lines present higher technical challenges for complete resection. ESD is safe and effective, with auxiliary traction technique available when necessary.

Triple-negative breast cancer (TNBC) is aggressive, with high recurrence rates and poor prognosis. Paclitaxel (PTX) remains a key chemotherapeutic agent for TNBC, but its efficacy diminishes due to the emergence of drug resistance, largely driven by cancer stem-like cells (CSCs), vasculogenic mimicry (VM) formation and tumor immunosuppressive microenvironment (TIME). Pyruvate kinase M2 (PKM2) is highly expressed in TNBC, and is a potential target for TNBC treatment. In this study, we developed a biomimetic codelivery system using albumin nanoparticles (termed S/P NP) to co-encapsulate PTX and shikonin (SHK), a natural inhibitor of PKM2. By inhibiting PKM2, SHK suppressed β-Catenin signaling, thereby reversing CSC stemness and preventing VM formation. The S/P NP system exhibited tumor-targeting delivery effect and significantly inhibited TNBC growth and lung metastasis. Mechanistically, the treatment reversed epithelial-mesenchymal transition (EMT) and stem-like properties of TNBC cells, suppressed VM formation, and remodeled the TIME. It reduced immunosuppressive cells (M2 macrophages, MDSCs) while promoting anti-tumor immunity (M1 macrophages, dendritic cells, cytotoxic T cells, and memory T cells). This dual-action strategy holds promise for improving TNBC therapy by targeting CSCs, VM, and the immune microenvironment, and for overcoming PTX resistance and reducing metastasis.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Tuberculosis is a zoonotic disease posing a substantial public health threat.Immunological diagnosis and vaccine im-munization are both necessary to control tuberculosis prevalence.However,the identical antigenic components in diagnostic reagents and vaccines hinder the use of animal vaccines and limit the specificity of clinical diagnosis in humans.Differentiating infected from vaccinated animals can overcome these problems.This article reviews the progress in differential diagnosis research from three as-pects:the diagnostic effects of antigens,methods for discovering new antigens,and screening of new host immune markers,to provide a theoretical basis for future research.

Objective:To investigate the prognostic impact of perineural invasion in patients with stageⅢ colon cancer and to clarify its guidance value for the duration of postoperative adjuvant chemotherapy.Methods:This study employed a retrospective cohort study method. It analyzed 426 patients with stageⅢ colon cancer who underwent radical surgery at Sun Yat-sen University Cancer Center and Longyan First Affiliated Hospital of Fujian Medical University, between April 2008 and June 2020. Inclusion criteria: patients received at least 3 months of adjuvant CapeOX therapy post-surgery, had complete pathological data, and were followed up for at least 12 months after the last chemotherapy. Among these patients, 231 were male, the median age was 59 (50~67) years, and 263 tumors were located in the right-sided colon. Postoperative pathology indicated that 107 cases (25.12%) had neural invasion, and 131 patients (30.75%) had vascular tumor thrombus. All patients received at least 4 cycles of postoperative CapeOX adjuvant chemotherapy, with 193 patients receiving 8 cycles and 233 patients receiving 4 to 7 cycles of adjuvant chemotherapy. The study analyzed the impact of neural invasion status and the duration of adjuvant chemotherapy on disease-free survival (DFS). Furthermore, within subgroups stratified by different risk levels (referencing the criteria proposed by the IDEA study: high risk: T4, N2 or T4N2; low risk: T3N1) and different neural invasion statuses, the impact of the duration of adjuvant chemotherapy on prognosis was analyzed.Results:The median follow-up time for the entire cohort was 94.00 months (55.27-128.80 months). Multivariate Cox analysis indicated that pathological T stage T4 (HR = 2.457, 95%CI: 1.499-4.029, P<0.001) and postoperative pathological confirmation of perineural invasion (HR = 2.465, 95% CI: 1.519-4.000, P<0.001) were independent adverse prognostic factors for 5-year DFS. In the perineural invasion-positive group, the 5-year DFS for patients who received 8 cycles of postoperative adjuvant CapeOX chemotherapy was 86.90%, compared to 58.22% for those who received 4-7 cycles, with statistically significant differences (both P<0.05). In the perineural invasion-negative group, the 5-year DFS for patients who received 8 cycles was 88.66%, compared to 90.99% for those who received 4-7 cycles, with no statistically significant differences ( P=0.929). Among IDEA high-risk patients with perineural invasion, the 5-year DFS was 91.81% for those who received 8 cycles versus 50.66% for those who received 4-7 cycles, showing a statistically significant difference ( P=0.003). In IDEA high-risk patients without perineural invasion, the 5-year DFS for those who received 8 cycles was 82.28% compared to 87.32% for those who received 4-7 cycles, with no statistically significant difference ( P=0.806). In the IDEA low-risk patients, no differences were observed in the 5-year DFS between patients receiving 8 cycles and those receiving 4-7 cycles of adjuvant CapeOX chemotherapy in both perineural invasion-positive and negative subgroups (both P>0.05). Conclusion:Perineural invasion serves as a significant prognostic factor for 5-year DFS in stage Ⅲ colon cancer patients who have undergone radical surgery and postoperative adjuvant chemotherapy. It can also be considered an important reference factor in deciding the duration of postoperative adjuvant chemotherapy.

Tuberculosis is a zoonotic disease posing a substantial public health threat.Immunological diagnosis and vaccine im-munization are both necessary to control tuberculosis prevalence.However,the identical antigenic components in diagnostic reagents and vaccines hinder the use of animal vaccines and limit the specificity of clinical diagnosis in humans.Differentiating infected from vaccinated animals can overcome these problems.This article reviews the progress in differential diagnosis research from three as-pects:the diagnostic effects of antigens,methods for discovering new antigens,and screening of new host immune markers,to provide a theoretical basis for future research.

Objective To develop a solvent desorption-gas chromatography method for quantifying malononitrile in workplace air. Methods Malononitrile in workplace air was collected using a silica gel tube and desorbed with methanol. Separation was performed using DB-FFAP capillary column, and detection was performed by hydrogen flame ionization detector. Results The linear ranges of malononitrile were 4.00-600.00 mg/L, with the correlation coefficient of 0.999 92. The detection limit was 0.54 mg/L. The minimum detection concentration was 0.36 mg/m³ (based on a collected air volume of 1.5 L). The average desorption efficiency was 95.0%-101.0%. The within-run and between-run relative standard deviations were 0.9%-5.3% and 1.0%-6.8%, respectively. The sampling efficiency was 100.0%. The samples were stable at 4 ℃ for at least 14 days. Conclusion The solvent desorption-gas chromatography method established in this study for the determination of malononitrile in workplace air is simple to use, with high accuracy and good precision, and is suitable for the determination of malononitrile in workplace air.

Dust and chemical substances are widely present occupational hazards in workplaces. Long-term exposure to dust and chemical substances can pose serious threats to workers′ health. Owing to their advantages in real-time detection, rapid response, and high accuracy, online monitoring technologies enable continuous measurement and analysis of the concentration and composition of dust and chemical substances in workplaces. These technologies provide timely and effective data support for the prevention and control of occupational diseases and have become an important protective tool in the field of occupational hazard. Current online monitoring technologies for workplace dust mainly include the tapered element oscillating microbalance method, light scattering method, β-ray method, triboelectric charging, video exposure monitoring, and ultrasonic methods. Online monitoring devices for workplace chemical substances are still in the early stages of development. However, this equipment has been partially applied in environmental monitoring, covering methods such as spectral analysis, electrochemical sensors, cataluminescence sensors, and intelligent sensing systems. In the future, the development of online dust monitoring technology should focus on overcoming technical bottlenecks to improve detection accuracy and exploring the synergistic effects of different technologies to compensate for the limitations of single methods. Meanwhile, online monitoring technologies for chemical substances should aim to develop integrated detection systems that combine high precision, real-time performance, low cost, and stability.

Objective To establish a method for simultaneous determination of four high-molecular-weight thiol derivatives (TDs) in workplace air by gas chromatography. Methods The four kinds of vapor-phase macromolecular TDs (1-pentanethiol, 1-hexanethiol, 1-benzyl mercaptan, and n-octanethiol) in the workplace air were collected using the GDH-1 air sampling tubes, desorbed with anhydrous ethanol, separated on a DB-FFAP capillary column, and determined by flame ionization detector. Results The quantitation range of the four TDs was 0.30-207.37 mg/L, with the correlation coefficients greater than 0.999 00. The minimum detection mass concentrations and minimum quantitation mass concentrations were 0.18-0.32 and 0.60-1.05 mg/m³, respectively (both calculated based on the 1.5 L sample and 3.0 mL desorption solvent). The mean desorption efficiencies ranged from 87.07% to 103.59%. The within-run and between-run relative standard deviations were 1.92%-8.22% and 1.89%-8.45%, respectively. The samples can be stored at room temperature or 4 ℃ for three days and up to 7 days at -18 ℃. Conclusion This method is suitable for the simultaneous determination of four vapor-phase TDs in workplace air.