Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.

Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.

Objective:To prepare a virus-like particle (VLP),containing Hepatitis B virus core antigen (HBcAg) and N-terminal peptides of the L2 protein of human papilloma virus (HPV),and investigate the immunogenicity of the VLP in mice and the protection against different strains of HPV .Methods:A fusion gene was synthesized to insert a DNA fragment ,coding for the N-terminal epitopes of the L2 protein of HPV16,into the HBcAg coding sequence;HBc-L2 fusion protein was highly expressed in E.coli using the pET9a and BL21(DE3) expression system;the purified fusion protein was used to immunize BALB/c mice and antibody titers against the L2 epitopes in mouse sera were determined by indirect ELISA;the levels of neutralizing antibodies against both HPV 16 and 18 were also analyzed.Results:HBc-L2 fusion protein was expressed in E.coli and purified,with the purity >80%,by ammonium sulfate pre-cipitation and CL-4B gel filtration;analysis of the purified fusion protein ,using size exclusion chromatography with multi-angle laser light scattering detection ( SEC-MALS) and electron microscope ,revealed that HBc-L2 was assembled into a stable VLP structure auto-matically following its expression;immunization of BALB/c mice with the purified VLPs resulted in high antibody titers in mouse sera against the L2 epitopes;furthermore,it was demonstrated that the sera from the immunized mice had neutralization activities against both HPV16 and HPV18.Conclusion:The immunogenicity of the L2 epitopes was highly enhanced by the construction of HBc-L2 fusion protein and the formation of the VLP structure;the fusion protein was also capable of inducing protections against different serotypes of HPV,therefore,it could be a potential HPV vaccine with a broad coverage and low production cost .

Objective To investigate the coverage of a recombinant protein vaccine based on pneumococcal surface protein A (PspA) from both family 1 and family 2.Methods One hundred and fifty-nine Streptococcus pneumoniae strains, including 47 invasive strains, were isolated from children in Nanjing Children′s Hospital.Cell lysates were prepared and reacted with three antibodies recognizing PspA -RX1, PspA-3296 and PspA-5668 for PspA typing by ELISA .Results Among 47 invasive isolates of 9 different serotypes, 10.7%were PspA family 1 and 89.3%were PspA family 2.Among all of 159 clinical isolates, 10.1% were identified as PspA family 1, 88.0%were family 2, while 1.9%of strains could not be typed by ELISA and PCR assays .None of strains belonged to PspA family 3.Conclusion The recombinant pro-tein vaccine based on PspA from both family 1 and family 2 has a broad coverage among clinical isolates and is potentially protective against both invasive and non-invasive pneumococcal diseases .