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

Objective To describe the current state of research and future research hotspots through a metrological analysis of the literature in the field of forensic anthropological remains identification re-search.Methods The data retrieved and extracted from the Web of Science Core Collection (WoSCC),the core database of the Web of Science information service platform (hereinafter referred to as "WoS"),was used to analyze the trends and topic changes in research on forensic identification of human re-mains from 1991 to 2022.Network visualisation of publication trends,countries (regions),institutions,authors and topics related to the identification of remains in forensic anthropology was analysed using python 3.9.2 and Gephi 0.10.Results A total of 873 papers written in English in the field of forensic anthropological remains identification research were obtained.The journal with the largest number of publications was Forensic Science International (164 articles).The country (region) with the largest number of published papers was China (90 articles).Katholieke Univ Leuven (Netherlands,21 articles) was the institution with the largest number of publications.Topic analysis revealed that the focus of forensic anthropological remains identification research was sex estimation and age estimation,and the most commonly studied remains were teeth.Conclusion The volume of publications in the field of forensic anthropological remains identification research has a distinct phasing.However,the scope of both international and domestic collaborations remains limited.Traditionally,human remains identifica-tion has primarily relied on key areas such as the pelvis,skull,and teeth.Looking ahead,future re-search will likely focus on the more accurate and efficient identification of multiple skeletal remains through the use of machine learning and deep learning techniques.

OBJECTIVE: This study aimed to investigate the therapeutic effects of Xiaoyao San (XYS), a herbal medicine formula, on exercise capacity and liver mitochondrial metabolomics in a rat model of depression induced by chronic unpredictable mild stress (CUMS). METHODS: A total of 24 male SD rats were randomly divided into four groups: control group (C), CUMS control group (M), Venlafaxine positive treatment group (V), and XYS treatment group (X). Depressive behaviour and exercise capacity of rats were assessed by body weight, sugar-water preference test, open field test, pole test, and rotarod test. The liver mitochondria metabolomics were analyzed by using liquid chromatography-mass spectrometry (LC-MS) method. TCMSP database and GeneCards database were used to screen XYS for potential targets for depression, and GO and KEGG enrichment analyses were performed. RESULTS: Compared with C group, rats in M group showed significantly lower body weight, sugar water preference rate, number of crossing and rearing in the open field test, climbing down time in the pole test, and retention time on the rotarod test (P < 0.01). The above behaviors and exercise capacity indices were significantly modulated in rats in V and X groups compared with M group (P < 0.05, 0.01). Compared with C group, a total of 18 different metabolites were changed in the liver mitochondria of rats in M group. Nine different metabolites and six metabolic pathways were regulated in the liver mitochondria of rats in X group compared with M group. The results of network pharmacology showed that 88 intersecting targets for depression and XYS were obtained, among which 15 key targets such as IL-1β, IL-6, and TNF were predicted to be the main differential targets for the treatment of depression. Additionally, a total of 1 553 GO signaling pathways and 181 KEGG signaling pathways were identified, and the main biological pathways were AGE-RAGE signaling pathway, HIF-1 signaling pathway, and calcium signaling pathway. CONCLUSION XYS treatment could improve depressive symptoms, enhance exercise capacity, positively regulate the changes of mitochondrial metabolites and improve energy metabolism in the liver of depressed rats. These findings suggest that XYS exerts antidepressant effects through multi-target and multi-pathway.

Humans ; Lung Neoplasms/genetics* ; SMARCB1 Protein

Objective - To establish a new non exposed intratracheal instillation method for establishing a rat silicosis model. Methods ， The specific pathogen free SD rats were randomly divided into control group and experimental group with ten rats in ， each group. Rats in the control group were given 1.0 mL of 0.9% sodium chloride solution and rats in the experimental group - were given 1.0 mL of silica suspension with a mass concentration of 50 g/L adopting to the one time intratracheal instillation ， - ， method and then followed by ventilator assisted ventilation immediately. When the tidal volume stabilized at 2.0 mL the ventilator was removed and the tracheal intubation was pulled out. Five rats in each group were sacrificed after two and four ， - Results weeks after modeling and hematoxylin eosin staining and Masson staining of lung tissue were performed. There was ， ， no death in the two groups of rats during the experiment. After two and four weeks the control group had normal lung structure ， ， ， normal alveolar cavity size no inflammatory cell infiltration thin alveolar wall only a small amount of collagen distribution ， around the lung interstitium and bronchus. At the second week of modeling the alveolar wall of the rats in the experimental ， ， ， group was slightly thickened interstitial lymphocytes and macrophages were infiltrated slight hyperplasia was found and a ， small amount of fibroblasts were visible. At the 4th week of modeling the alveolar wall of the rats in the experimental group was ， ， ， ， significantly thickened fibrous nodules were formed and fibroblasts fibrocytes collagen fibers were significantly increased. Conclusion - The combination of ventilator and non exposed intratracheal instillation method can be used to successfully ， ， . establish a rat silicosis model which is simple safe and effective

Objective:To explore the feasibility and safety of the clinical application of the diagnosis and treatment mode combining rapid frozen pathological examination of prostate biopsy tissue with radical prostatectomy.Methods:Suspected prostate cancer patients with PSA>10 ng/ml and PI-RADS score ≥4 in, Northern Jiangsu People's Hospital from April to September 2021 were collected. The included patients underwent mpMRI/TRUS image fusion-guided transperineal prostate targeted biopsy with 16G biopsy needle, 2-3 needles for biopsy, and rapid frozen pathological examination. Robot-assisted laparoscopic radical prostatectomy (RALP) was performed immediately for patients with prostate cancer with rapid freezing pathology. For undiagnosed prostate cancer, 18G biopsy needle for prostate targeted + systematic biopsy were used, 18-22 needles for systematic biopsy, and routine pathological examination. The baseline data, frozen pathological results, perioperative conditions, pathological results and follow-up data of all patients were collected.Results:Eleven patients were included in the study, the mean age of the patients was 69.9(66-73) years, the mean BMI was 22.8(19-26) kg/m 2, the mean PSA was 23.2(14.25-32.00), the mean prostate volume was 45(32-52) ml, mean PSAD 0.54(0.33-0.75). PI-RADS score was 4 in 3 cases and 5 in 8 cases; digital rectal examination was positive in 5 cases. All 11 cases underwent rapid freezing and the pathological results showed that: 9 cases were prostate adenocarcinoma, and RALP was performed immediately. The operation time was 111.5(96-126) min, the intraoperative blood loss was 78.9(55-105) ml, and the postoperative extubation time was 4.3(3.5-5.0) days, postoperative hospital stay 5.8(5.0-6.5) days. Postoperative pathology showed that Gleason score 3+ 4=7 in 1 case, 4+ 3=7 in 3 cases, 8 points in 4 cases, and 10 points in 1 case; 3 cases had positive resection margins, and 1 case had seminal vesicle invasion, the average number of dissected lymph nodes was 10.9 (8.5-14.0), and there was no tumor metastasis. Pathological T staging included 2 cases of T 2b stage, 5 cases of T 2c stage, 1 case of T 3a stage, and 1 case of T 3b stage. Two patients were undiagnosed by rapid freezing pathology, of which one was prostate adenocarcinoma with a Gleason score of 4+ 3=7, and then received RALP; the other one was prostate inflammation. 11 patients were followed up; the postoperative follow-up time was 3-7 months, with an average of 5.2 months. Among the 10 patients who underwent RALP, 8 patients recovered urinary continence 2 weeks after surgery, and all recovered within 2 months after surgery. Three patients with positive surgical margins were given regular androgen deprivation therapy in the second week after surgery. PSA did not drop below 0.1 ng/ml in patients with positive margins and seminal vesicle invasion 3 months after surgery. No complications of Clavien grade Ⅰ or higher occurred after operation and during follow-up. Conclusions:For patients with high suspicion of prostate cancer, rapid frozen pathological examination of prostate biopsy tissue is performed. RALP is performed immediately for patients with prostate cancer. The results show that this diagnosis and treatment model could be safe and feasible.

Animals ; COVID-19/virology* ; Disease Models, Animal ; Evolution, Molecular ; Humans ; Polymorphism, Single Nucleotide ; SARS-CoV-2/metabolism* ; Spike Glycoprotein, Coronavirus/genetics*

The epidemic situation of coronavirus disease 2019(COVID-19) is developing rapidly in the world, and the influence is serious. In this study, the prescription of Mongolian medicine to prevent new type of COVID-19 was investigated. Based on the second edition and the third edition of COVID-19 Mongolian Medicine Prevention and Treatment Guidance Program issued by the Inner Mongolia Autonomous Region Health Commission, using Excel 2007, SPSS Modeler 18, SPSS Statistics 25, Cytoscape 3.7.1 statistical software as a tool, the association rules analysis and cluster analysis of Mongolian medicine included in the standard were carried out. Among the 45 prophylactic prescriptions included in the standard, a total of 34 high-frequency drugs using frequency ≥5 were used, of which Carthami Flos(21 times, 4.46%), Chebulae Fructus(20 times, 4.26%), Moschus(13 times, 2.77%), Myristicae Semen(12 times, 2.55%), Santali Albi Lignum(12 times, 2.55%), and Bovis Calculus(12 times, 2.55%) were the most common. The main drugs for the prevention of COVID-19 were Liang(13 times, 38.23%), Wen(9 times, 26.47%), the flavor was Ku(20 times, 34.48%), Xin(13 times, 22.41%), Gan(11 times, 18.97%), the most used drugs treating hot evil(99 times, 32.46%), treatment of "Heyi" drugs(51 times, 16.72%), treatment of "Badagan" drugs(40 times, 13.11%), treatment of "sticky" drugs(37 times, 12.13%), and a cough, eliminating phlegm and antiasthmatic(31 times, 10.16%), the association rule analysis found that the highest association intensity of the drug pair combination of 11. Clustering analysis using the cluster analysis of inter-group join method found a total of 8 categories. In this study, 45 prescriptions of Mongolian medicine for the prevention of COVID-19 were collec-ted and further analyzed, hoping to provide new ideas for clinical diagnosis and treatment.
Betacoronavirus ; China ; Coronavirus Infections ; drug therapy ; Humans ; Medicine, Mongolian Traditional ; Pandemics ; Pneumonia, Viral ; drug therapy