With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

With the rapid advancement of artificial intelligence(AI)technology,its applications in the medical field have been expanding significantly.In the realm of hematopathological diagnosis,the advent of whole slide imaging(WSI)technology has paved the way for AI-based automatic slide reading,which is gradually transforming traditional diagnostic approaches.By establishing and training sophisticated algorithm models,AI,particularly deep learning and machine learning,can accurately and swiftly identify and analyze abnormal cells or tissues,as well as correctly inter-pret immunohistochemical staining results.This not only alleviates the workload of hematopathologists but also shortens the reporting cycle.As a result,it holds substantial application value in the fields of bone marrow pathology and bone marrow cell morphology diagnosis.Moreover,AI also demonstrates broad potential in the analysis of results from flow cytometry,chromosome karyotyping,and next-generation sequencing.Overall,the integration of AI technology is of great significance in propelling the development of intelligent diagnosis in hematopathology.This article aims to provide a comprehensive review of the application of AI in hematopathological diagnosis,and to explore its current status and future prospects.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

With the rapid advancement of artificial intelligence(AI)technology,its applications in the medical field have been expanding significantly.In the realm of hematopathological diagnosis,the advent of whole slide imaging(WSI)technology has paved the way for AI-based automatic slide reading,which is gradually transforming traditional diagnostic approaches.By establishing and training sophisticated algorithm models,AI,particularly deep learning and machine learning,can accurately and swiftly identify and analyze abnormal cells or tissues,as well as correctly inter-pret immunohistochemical staining results.This not only alleviates the workload of hematopathologists but also shortens the reporting cycle.As a result,it holds substantial application value in the fields of bone marrow pathology and bone marrow cell morphology diagnosis.Moreover,AI also demonstrates broad potential in the analysis of results from flow cytometry,chromosome karyotyping,and next-generation sequencing.Overall,the integration of AI technology is of great significance in propelling the development of intelligent diagnosis in hematopathology.This article aims to provide a comprehensive review of the application of AI in hematopathological diagnosis,and to explore its current status and future prospects.

Bone marrow biopsy is one of the important means of hematopathological diagnosis, which has decisive diagnostic significance for various benign and malignant lymphohematopoietic system diseases. Its diagnostic value includes morphological observation, immunohistochemistry, genetics, and molecular biology testing. Owing to the unique nature of bone marrow biopsy, decalcification is an essential step in the pre-treatment process. Its purpose is to remove calcium from bone tissue, preserve intact collagen fiber components, facilitate tissue sectioning, and prevent tissue detachment during staining. If bone marrow biopsy lacks sufficient decalcification, preparing a section is difficult. Conversely, if decalcification is excessive, it can seriously disrupt tissue antigen activity. Therefore, a decalcification method with high decalcification efficiency and mild antigen damage is essential for bone marrow biopsy. This article introduces a bone marrow biopsy tissue decalcification method with high efficiency and less antigen loss: decalcification is performed at room temperature with 12% formic acid and 8% hydrochloric acid decalcification solution on a shaker.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To observe the curative effect of comprehensive traditional Chinese medicine(TCM)therapy for the treatment of refractory sudden hearing loss(i.e.,suffering sudden hearing loss more than 2 weeks),and to analyze the factors that may affect the prognosis.Methods A retrospective analysis was carried out in 405 hospitalized patients with refractory sudden hearing loss who were treated in the Department of Otorhinolaryngology,the First Affiliated Hospital of Guangzhou University of Chinese Medicine from 2005 to 2022.The patients were all treated by comprehensive TCM therapy including oral administration of Chinese medicine,acupuncture,acupoint seed-pressing application after individualized syndrome differentiation.The overall clinical efficacy was evaluated,and the difference of efficacy in the patients with various courses of disease,degrees of deafness,types of hearing curve,concomitant symptoms and TCM syndrome types,having or not having previous treatment history was analyzed.Results For the 405 patients with refractory sudden hearing loss,the cure rate was 5.7％and the total effective rate was 28.1％.Among the 405 patients,the best efficacy was achieved in the patients with mild hearing loss,low-frequency decline type of hearing curve,and having no previous treatment history,and the differences were statistically significant(P＜0.05 or P＜0.01).There was no significant difference in the efficacy of patients with different courses of disease,with or without concomitant symptoms,or with various syndrome types(P＞0.05).Conclusion The comprehensive TCM therapy has a certain effect on refractory sudden hearing loss.Patients with poor efficacy after conventional western medicine can still benefit from the comprehensive TCM therapy.

BACKGROUND: Human umbilical cord mesenchymal stem cells (hUCMSCs) have emerged as promising therapy for immune and inflammatory diseases. However, how to maintain the activity and unique properties during cold storage and transportation is one of the key factors affecting the therapeutic efficiency of hUCMSCs. Schisandrin B (SchB) has many functions in cell protection as a natural medicine. In this study, we investigated the protective effects of SchB on the hypothermic preservation of hUCMSCs. METHODS: hUCMSCs were isolated from Wharton’s jelly. Subsequently, hUCMSCs were exposed to cold storage (4 °C) and 24-h re-warming. After that, cells viability, surface markers, immunomodulatory effects, reactive oxygen species (ROS), mitochondrial integrity, apoptosis-related and antioxidant proteins expression level were evaluated. RESULTS: SchB significantly alleviated the cells injury and maintained unique properties such as differentiation potential, level of surface markers and immunomodulatory effects of hUCMSCs. The protective effects of SchB on hUCMSCs after hypothermic storage seemed associated with its inhibition of apoptosis and the anti-oxidative stress effect mediated by nuclear factor erythroid 2–related factor 2 signaling. CONCLUSION These results demonstrate SchB could be used as an agent for hypothermic preservation of hUCMSCs.