Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

BACKGROUND:Paraspinal muscle degeneration is one of the main causative factors of low back pain,and the changes in the paraspinal muscles are closely related to its occurrence and development.At present,clinical practitioners focus on the changes of paraspinal muscles in degenerative lumbar diseases to prevent and treat lumbar diseases,but ignore the connection and related mechanisms between lumbar intervertebral disc degeneration and paraspinal muscles.OBJECTIVE:To comprehensively summarize the interaction between paraspinal muscles and lumbar intervertebral discs,and to review the relationship and mechanisms between lumbar intervertebral disc degeneration and paraspinal muscles,in order to provide a reference for clinical prevention and treatment.METHODS:Chinese keywords"lumbar intervertebral disc,paraspinal muscle,multifidus muscle,low back pain,degeneration,imaging,magnetic resonance imaging"were used to search the relevant literature in Chinese databases such as CNKI,VIP,and WanFang.English keywords"lumbar disc,paraspinal muscle,multifidus muscle,low back pain,degeneration,imaging,MRI"were used to search the relevant literature in databases such as Medline,PubMed,and Web of Science.After preliminary screening of titles and abstracts,68 articles were finally selected for result analysis according to the inclusion and exclusion criteria.RESULTS AND CONCLUSION:(1)Researchers have used various methods to evaluate the degree of paraspinal muscle degeneration,and at the same time evaluated the degree of lumbar intervertebral disc degeneration according to the Pfirrmann grading system.It is found that clinical diagnosis and treatment should pay attention to gender differences,and the influence of factors such as obesity on the degeneration of intervertebral discs and muscles,in order to develop more individualized treatment plans.(2)There is a certain correlation between lumbar intervertebral disc degeneration and paraspinal muscle fat infiltration,but the research results are controversial.Most studies have found that fat infiltration of the paraspinal muscles(especially the multifidus muscle)is positively correlated with the degree of lumbar intervertebral disc degeneration.(3)It is currently believed that the three mechanisms of disuse atrophy,denervation,and inflammatory factors may interact with each other to jointly lead to structural and functional changes in the paraspinal muscles,which are closely related to the occurrence of lumbar intervertebral disc degeneration and low back pain.(4)Clinically,attention should be paid to the changes of the muscles at the level below the affected nerve root segment,which is helpful for the diagnosis and localization of lumbar radiculopathy.At the same time,inhibition of inflammatory factors may become a potential target for treatment.(5)Clinically,the first step is to correct nerve root compression through appropriate medication or surgery to control inflammatory reactions and nerve root pain,and then carry out targeted muscle rehabilitation training.If necessary,consider using new treatment methods such as interferential current electrical stimulation to improve the patient's symptoms and prognosis.

Objectives:To analyze factors associated with physical fitness and health in children and adolescents from the perspective of cohort and urban-rural differences in order to provide evidence for optimizing health intervention policies.Methods:Using data from the China Family Panel Studies(CFPS)from 2012 to 2020,this study examined trends in the health of children and adolescents in terms of height and weight.A hierarchical mixed-effects model was used to examine the impact of socioeconomic factors such as household income,health insurance and regional public health expenditure on physical fitness and health.Interaction models were also used to assess heterogeneous effects across birth cohorts and urban-rural contexts.Results:The physical fitness and health of children and adolescents in China have improved significantly,but urban-rural disparities persist.Household income,parental education and health insurance have protective effects on health,but the strength of these effects varies by cohort and between urban and rural areas.Height and weight outcomes for rural children were more closely associated with economic development and health insurance coverage.Conclusions:The factors associated with physical fitness and health in children and adolescents are dynamic.It is necessary to establish a tiered and targeted health promotion system,strengthening health insurance coverage and interventions in rural areas,while prioritizing family-based healthy lifestyle counselling in urban areas.

Objective:To explore the clinical and pathological features and survival outcomes of patients with early-onset intrahepatic cholangiocarcinoma (EOICC).Methods:This is a multicenter, retrospective cohort study. Data of 1 160 intrahepatic cholangiocarcinoma patients undergoing radical resection in 14 tertiary Grade A hospitals in China from January 2010 to November 2021 were retrospectively collected. The cohort included 632 males and 528 females, aged( M (IQR)) 61 (14) years (range: 22 to 93 years). ICC aged ≤50 years at the time of diagnosis was defined as EOICC and >50 years as late-onset intrahepatic cholangiocarcinoma (LOICC). Of these, there were 247 cases in the EOICC group and 913 cases in the LOICC. The clinical and pathological characteristics of both groups were analyzed and compared using the independent sample t-test, Mann-Whitney U test or Kaplan-Meier method. Univariate and multivariate Cox regression models for patient outcomes were constructed and forest graphed. Results:Compared with the patients in the LOICC group, patients in the EOICC group had lower carcinoembryonic antigen levels (2.5(4.0) μg/L vs. 3.1(5.2)μg/L, U=124 899, P=0.009) and CA19-9 level (63.4(524.7)U/ml vs. 77.9(611.3)U/ml, U=120 320, P=0.013), higher levels of ALT (29(35)U/L vs. 24(26)U/L, U=101 214, P=0.013), a lower score of the Eastern US Cooperative Oncology Group (0 score patients: 54.7% vs. 44.1%, χ2=12.472, P=0.014), higher TNM stage ( χ2=11.807, P=0.038), and proportion of lymph node dissection (62.3% vs. 54.1%, χ2=5.355, P=0.021). Patients in the two groups in sex, first diagnosis symptoms, intrahepatic bile duct stone history, nail protein, albumin, total bilirubin, transaminase, liver function Child-Pugh grade, T stage, stage, N stage, preoperative laparoscopic exploration proportion, tumor diameter, vascular invasion proportion, differentiation, margin, intraoperative bleeding, postoperative complications, postoperative hospital days were no statistical significance (all P>0.05). Patients in the EOICC group had better outcomes than the LOICC group (median survival time: 29.7 months vs. 25.0 months, 3-year overall survival: 45.1% vs. 37.8%, P=0.027). Conclusion:EOICC patients are better than LOICC patients in carcinoembryonic antigen, CA19-9, ALT, physical strength status and TNM stage, and the long-term prognosis is also better than LOICC patients.

Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis* ; Electronic Nose ; Gas Chromatography-Mass Spectrometry/methods* ; Animals ; Volatile Organic Compounds/analysis* ; Deer ; Drugs, Chinese Herbal/chemistry*

Objective To assess the intervention effect of nicotinamide mononucleotide (NMN) on the mouse model of hematotoxicity induced by subacute benzene exposure. Methods Benzene exposure and NMN intervention were adopted in a 2×2 factorial design, as benzene exposure and non-exposure, and NMN intervention and non-intervention. Male specific pathogen-free C57BL/6J mice were randomly assigned to negative control group, NMN control group, simple benzene exposure group and NMN intervention group, with 12 mice in each group. Benzene exposure of mice in simple benzene exposure group and NMN intervention group was conducted by dynamic inhalation of benzene at a concentration of 325 mg/m³ for six hours per day, five days per week for four weeks (28 days). Mice in the negative control and NMN control group inhaled clean air. During benzene exposure, mice in the NMN control group and NMN intervention group received NMN in drinking water at a dose of 300 mg/kg body weight. Peripheral blood samples of mice were collected for complete blood count analysis and calculation of composite inflammatory indices after 28 days. Results Interaction analysis showed that the counts of peripheral white blood cell, neutrophil, lymphocyte, and platelet of mice in the simple benzene exposure group were lower than those in the negative control group (all P<0.05). Neutrophil and platelet counts in the NMN intervention group were higher than those in the simple benzene exposure group (all P<0.05). The results of main effect analysis showed that the monocyte count of peripheral blood, systemic inflammatory index, systemic inflammatory response index, neutrophil/lymphocyte ratio and platelet/lymphocyte ratio of mice in the benzene exposure group increased (all P<0.05), and the basophil count and lymphocyte/monocyte ratio decreased (all P<0.05), compared with the control group. Conclusion Oral NMN alleviates subacute benzene-induced decreases in peripheral neutrophil and platelet counts in mice. This protective effect may be related to the targeted intervention of NMN on mitochondrial energy metabolism disorder and oxidative damage induced by benzene exposure in male mice.

Objective:To present an evaluation indicator system for access to cancer screening services.Methods:The evaluation indicator pool was constructed through a scoping review. The theoretical framework was constructed based on the multi-source indicators, and the qualitative expert consultation method was employed to form the initial version of the three-level evaluation indicator system. Delphi expert consultation method was conducted in two rounds to evaluate the relevance, importance, and availability of the proposed evaluation indicator system. The expert positive coefficient, authority coefficient, coordination degree of expert opinions, and concentration of expert opinions were subjected to analysis. Subsequently, the three-level evaluation indicator system for access to cancer screening services was adjusted and determined based on the boundary value method and the open opinions of experts. Finally, the combination weight method was employed to determine the weight.Results:The initial version of the indicator system comprised 3 primary (first-level) indicators, 11 secondary (second-level) indicators, and 46 tertiary (third-level) indicators. Delphi expert consultation was conducted for the initial version, and 17 experts ultimately completed it, exhibiting a positive coefficient of 100% and an authority coefficient of 0.87. In comparison to the initial round of consultation, Kendall's W coefficient ranges (0.15-0.43, all P<0.05) of relevance, importance, and availability scores for each tertiary indicator in the second round exhibited an improvement. The analysis of the importance dimension indicates that expert opinions are also more concentrated, as evidenced by an increase of 8.5% and 7.0% in the proportion of the tertiary indicators with an arithmetic mean above 8 and a full mark ratio above 0.5, respectively. The final evaluation indicator system comprises three primary indicators, with the weights of structure evaluation, process evaluation, and outcome evaluation being 0.338, 0.378, and 0.285, respectively. It also comprises 11 secondary indicators and 45 tertiary indicators. Conclusions:The evaluation indicator system developed in this article can be an effective evaluation tool for quantitative comparison of access to cancer screening services across different populations, cancer types, and before and after intervention. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Objective To explore the application effect of multimodal somatosensory exercise based on artificial intelligence technology in home rehabilitation exercise for elderly patients with chronic obstructive pulmonary dis-ease(COPD),so as to promote COPD patients to participate in home rehabilitation exercise.Methods Using the convenient sampling method,80 elderly patients with COPD admitted to the Department of Respiratory Medicine of a tertiary A hospital in Urumqi from November 2023 to February 2024 were selected as the research subjects.Ac-cording to the random number table method,they were divided into a control group and an experimental group,with 40 cases in each group.The control group adopted the traditional exercise training method,and the experimental group adopted the multi-modal somatosensory movement based on artificial intelligence technology for exercise in-tervention,with 5 times a week,and the intervention was implemented for 12 weeks.The pulmonary function index,modified Medical Research Council scale score,physical fitness level,Chronic Obstructive Pulmonary Disease As-sessment Test scale score and exercise compliance of the 2 groups were compared before intervention and 12 weeks after intervention.Results 77 patients completed the study,with 39 in the experimental group and 38 in the control group.The forced vital capacity,forced expiratory volume in one second,forced expiratory volume in one second to forced vital capacity ratio,physical fitness level and exercise compliance of the experimental group were higher than those of the control group,while the modified British Medical Research Council scale score and Chron-ic Obstructive Pulmonary Disease Assessment Test score were lower than those of the control group.The differences were statistically significant(P＜0.05).Conclusion Somatosensory exercise based on artificial intelligence technology can improve the lung function of the patients with COPD,improve the exercise compliance and physical fitness in-dicators of elderly patients and improve the quality of life of the patients.

Objectives:To analyze factors associated with physical fitness and health in children and adolescents from the perspective of cohort and urban-rural differences in order to provide evidence for optimizing health intervention policies.Methods:Using data from the China Family Panel Studies(CFPS)from 2012 to 2020,this study examined trends in the health of children and adolescents in terms of height and weight.A hierarchical mixed-effects model was used to examine the impact of socioeconomic factors such as household income,health insurance and regional public health expenditure on physical fitness and health.Interaction models were also used to assess heterogeneous effects across birth cohorts and urban-rural contexts.Results:The physical fitness and health of children and adolescents in China have improved significantly,but urban-rural disparities persist.Household income,parental education and health insurance have protective effects on health,but the strength of these effects varies by cohort and between urban and rural areas.Height and weight outcomes for rural children were more closely associated with economic development and health insurance coverage.Conclusions:The factors associated with physical fitness and health in children and adolescents are dynamic.It is necessary to establish a tiered and targeted health promotion system,strengthening health insurance coverage and interventions in rural areas,while prioritizing family-based healthy lifestyle counselling in urban areas.