Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective:To establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the determination of N-desalkylquetiapine, hydroxybupropion, N-desmethyl clozapine, N-desmethyl clomipramine, O-desmethyvenlafaxine and dehydro aripiprazole in human plasma.Methods:In June 2023, plasma samples were treated with methanol-acetonitrile (volume ratio of 1∶1) for protein precipitation and then detected by LC-MS/MS. It was separated by C18 column and eluted with 5 mmol/L ammonium acetate water and 5 mmol/L ammonium acetate methanol solution as mobile phase gradient. The metabolites of six psychotropic drugs were qualitatively and quantitatively by using electrospray positive ion multi-reactive ion monitoring scanning mode (MRM) .Results:The linear relationships of six psychotropic drug metabolites were good in the concentration range of 2-100 μg/L. The linear correlation coefficients were 0.9971-0.9999, the limits of quantification of the method were 0.10-6.00 μg/L, and the inter-and intra-day precision were 4.6%-9.8% and 1.5%-8.6%, with the recoveries of the spiked standards ranged from 90.0% to 106.1%.Conclusion:The LC-MS/MS method for the determination of metabolites of six psychotropic drugs in human plasma is simple, rapid and sensitive, and can be used for the qualitative and quantitative determination of metabolites in plasma samples of patients suspected of psychotropic drug poisoning.

Objective:To establish a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for the fast determination of maduramicin ammonium (MAD) in rat serum.Methods:In February 2024, rat serum samples were selected and directly injected after extraction and purification with methanol: acetonitrile (1: 1), separated on a C18 chromatographic column, and gradient-eluted using 0.1% formic acid aqueous solution -0.1% formic acid methanol solution as the mobile phase. Under optimized instrument conditions, electrospray positive ion multiple reaction monitoring (MRM) mode was employed for quantification using the external standard method, followed by methodological validation of the established approach.Results:The linearity of MAD in serum was good in the concentration range of 0.5-100 μg/L, and the correlation coefficient was 0.9997. The mean recoveries of MAD from spiked samples were 86.0%-109.6%, with the relative standard deviations were less than 10%. The limit of detection was 0.23 μg/L, The limit of detection was 0.75 μg/L.Conclusion:This method is high sensitive and reliable, which is suitable for the determination of MAD in in mouse serum.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To establish a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for the fast determination of maduramicin ammonium (MAD) in rat serum.Methods:In February 2024, rat serum samples were selected and directly injected after extraction and purification with methanol: acetonitrile (1: 1), separated on a C18 chromatographic column, and gradient-eluted using 0.1% formic acid aqueous solution -0.1% formic acid methanol solution as the mobile phase. Under optimized instrument conditions, electrospray positive ion multiple reaction monitoring (MRM) mode was employed for quantification using the external standard method, followed by methodological validation of the established approach.Results:The linearity of MAD in serum was good in the concentration range of 0.5-100 μg/L, and the correlation coefficient was 0.9997. The mean recoveries of MAD from spiked samples were 86.0%-109.6%, with the relative standard deviations were less than 10%. The limit of detection was 0.23 μg/L, The limit of detection was 0.75 μg/L.Conclusion:This method is high sensitive and reliable, which is suitable for the determination of MAD in in mouse serum.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective:To establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the determination of N-desalkylquetiapine, hydroxybupropion, N-desmethyl clozapine, N-desmethyl clomipramine, O-desmethyvenlafaxine and dehydro aripiprazole in human plasma.Methods:In June 2023, plasma samples were treated with methanol-acetonitrile (volume ratio of 1∶1) for protein precipitation and then detected by LC-MS/MS. It was separated by C18 column and eluted with 5 mmol/L ammonium acetate water and 5 mmol/L ammonium acetate methanol solution as mobile phase gradient. The metabolites of six psychotropic drugs were qualitatively and quantitatively by using electrospray positive ion multi-reactive ion monitoring scanning mode (MRM) .Results:The linear relationships of six psychotropic drug metabolites were good in the concentration range of 2-100 μg/L. The linear correlation coefficients were 0.9971-0.9999, the limits of quantification of the method were 0.10-6.00 μg/L, and the inter-and intra-day precision were 4.6%-9.8% and 1.5%-8.6%, with the recoveries of the spiked standards ranged from 90.0% to 106.1%.Conclusion:The LC-MS/MS method for the determination of metabolites of six psychotropic drugs in human plasma is simple, rapid and sensitive, and can be used for the qualitative and quantitative determination of metabolites in plasma samples of patients suspected of psychotropic drug poisoning.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Oromandibular dystonia (OMD) is a type of Meige syndrome, which is characterized by involuntary repeated abnormal postured contraction of bilateral masticatory muscles, orbicularis oris muscles and mimetic muscles. Involved nerves are buccal branch of facial nerve, mandibular marginal branch and/or mandibular branch of trigeminal nerve. At present, the pathogenesis of OMD is still unclear, and no specific treatment for OMD is noted. This article reviews the pathogenesis, clinical manifestations, classifications, diagnoses, differential diagnoses and treatments of oromandibular dystonia in order to strengthen the understanding of the disease.