Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Ulcerative colitis （UC） is a chronic， non-specific inflammatory bowel disease. The pathogenesis of this disease is complex and is attributed to multiple factors. Intestinal mucosal barrier damage is the basic pathological change of UC， and intestinal flora disorder is one of the important characteristics of UC. Intestinal flora plays a key role in the pathological process of UC by regulating intestinal mucosal immunity and inflammatory response to repair the damaged intestinal mucosal barrier. At present， western medicine has the advantages of rapid action onset and significant short-term efficacy， but the curative effect of long-term use is not good， accompanied by many adverse reactions， causing great physical and mental pain to patients. Therefore， it is urgent to explore new treatment methods with definite long-term efficacy and mild adverse reactions. A large number of studies have shown that Chinese medicine can regulate intestinal flora through multiple targets in an all-around way， restore the homeostasis of the flora， and repair the damaged intestinal mucosal barrier， thereby inhibiting the progression of UC. Numerous studies have shown that the active components， monomers， and compounds of Chinese medicine can effectively antagonize UC by regulating the intestinal flora to improve the intestinal mucosal immunity， reduce the inflammatory response of the intestinal mucosa， and restore the normal physiological function of the intestinal mucosal barrier， providing a new strategy for UC prevention and treatment. Although there are some studies of the regulation of intestinal flora by Chinese medicine to prevent and treat UC， those studies have the shortcomings of systematic and comprehensive inadequacy. Therefore， based on the research status of UC， intestinal flora， and Chinese medicine treatment， this study reviewed the relationship between intestinal flora and UC and clarified the key role of intestinal flora in the occurrence and development of UC. At the same time， this paper comprehensively summarized the Chinese medicine that targeted the regulation of intestinal flora for the treatment of UC in the past five years to provide new strategies and ideas for UC treatment.

ObjectiveTo explore the molecular mechanism of Sanhuang Xiexintang （SHXXT） in protecting stress gastric ulcer （SGU） in rats through network pharmacology， molecular docking， and animal experiments. MethodThe active ingredients and corresponding targets in SHXXT were collected and screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Traditional Chinese Medicine Information Database （TCMID）， Bioinformation Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）， and Swiss Target Prediction database. SGU-related targets were screened from the Online Mendelian Inheritance in Man （OMIM）， Therapeutic Target Database （TTD）， GeneCards database， and PharmGKB database. Herbal-ingredient-target （H-C-T） network was constructed by using Cytoscape 3.9.1 software. Protein-protein interaction （PPI） of drug and disease intersection targets was analyzed by using the Protein Interaction Platform （STRING） database. Gene ontology （GO） enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis were conducted through the Database for Annotation Visualization and Integrated Discovery （DAVID）. The active ingredients and key targets were validated using AutodockVina 1.2.2 molecular docking software， and the experimental results were further validated through animal experiments. ResultThe 55 active ingredients were screened， and 255 potential target genes for SHXXT treatment of SGU were predicted. The PPI analysis showed that protein kinase B （Akt）， phosphatase and tensin homolog deleted on chromosome ten （PTEN）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and cyclooxygenase-2 （COX-2） are the core targets of SHXXT for protecting SGU. GO and KEGG analyses showed that SHXXT may affect the development of SGU by regulating various biological processes such as the phosphoinositide 3-kinase （PI3K）/Akt signaling pathway and inflammatory processes. The molecular docking results showed that both the active ingredients and key targets had good binding ability. Animal experiments showed that compared with the blank group， the ulcer index （UI） of the model group was significantly increased （P<0.01）， and the serum levels of TNF-α and IL-1β significantly increased （P<0.01）. The phosphorylation level of PTEN in gastric mucosal tissue was significantly down-regulated （P<0.05）. The phosphorylation levels of PI3K， Akt， and nuclear factor kappa-B （NF-κB） were significantly up-regulated （P<0.05）. Compared with the model group， the UI of the treatment group was significantly reduced （P<0.01）， and the serum levels of TNF-α and IL-1β were significantly reduced （P<0.01）. The phosphorylation level of PTEN in gastric mucosal tissue was significantly up-regulated （P<0.01）， and the phosphorylation levels of PI3K， Akt， and NF-κB were significantly downregulated （P<0.01）. ConclusionThe application of network pharmacology prediction， molecular docking simulation， and animal experimental validation confirms that SHXXT regulates the PI3K/Akt/NF-κB signaling pathway to regulate the inflammatory response of rats and thus protects the gastric mucosa of SGU rats.

Objective To investigate the expression and clinical relevance of heterogeneous nuclear ribonucleoproteins F(HNRNPF)in prostate cancer and its effect on the proliferation,migration and invasion of prostate cancer cells.Methods The expression and immune infiltration characteristics of HNRNPF in prostate cancer and its correlation with the clinicopathological characteristics of prostate cancer patients were analyzed using TCGA database and GEO database.The HNRNPF gene was silenced by RNA interference in prostate cancer cell PC-3 and DU145,then the changes in cell proliferation ability was detected by CCK-8,EdU and colony formation assays,and the changes in cell migration and invasion abilities were detected by Transwell and wound-healing assays.Results The expression of HNRNPF was significantly increased in prostate cancer compared with normal prostate tissue and significantly associated with T stage,Gleason score,prostate specific antigen and the infiltration level of multiple immune cells of prostate cancer patients.The prostate cancer patients with high expression of HNRNPF had shorter overall survival and disease-specific survival.HNRNPF silencing decreased the proliferation,migration,and invasion abilities of prostate cancer cells PC-3 and DU145.Conclusion HNRNPF is a gene that is highly expressed in prostate cancer,has significant clinical relevance,and can promote the proliferation,migration,and invasion of prostate cancer cells.

The treatment of mediastinal tumor has always been a clinical difficulty due to its complex anatomical location and many important organs.Compared with traditional local treatment,endobronchial ultrasound guided laser multi-point ablation of mediastinal tumors has many advantages,including real-time monitoring of ablation range and effect,avoidance of damage to normal tissue and organs,few side effects and good tolerance.This article describes the standard operating procedure for endobronchial ultrasound guided laser multi-point ablation of mediastinal tumors.

Systemic application of effective antifungal drugs is the basic treatment for pulmonary mycosis,meanwhile,drug spraying under bronchoscope is one of the most important treatment options for tracheal,bronchial and pulmonary mycosis.Compared with bronchoscopic drug injection,indwelling guided drug injection cannula through nasal suspension with or without anchoring has more advantages in the treatment of pulmonary mycosis,including the ability to connect to a syringe pump for continuous and slow injection of drugs,which can avoid repeatedly performing bronchoscopy.This article describes the standard operating procedure of indwelling nasal cannula with or without anchoring for the treatment of pulmonary mycosis.

Recognizing upper airway obstruction and stenosis is critical to determine the subsequent treatment options in patients with obstructive sleep apnea(OSA).Drug-induced sleep endoscopy(DISE)is a 3D visual evaluation technology for the anatomical structure of the upper respiratory tract of OSA patients during"sleeping"state after being anesthetized.The dynamic situation of upper respiratory tract obstruction and collapse can be observed safely and quickly through endoscopy,which provides important reference for formulating surgical methods and positive airway pressure(PAP)intervention treatments.With the assistance of polysomnography(PSG),DISE plays an important role in optimizing individualized treatment plans for OSA.The present article introduces the technical operating points of PSG-assisted drug-induced sleep endoscopic positive airway pressure titration.

Ulcerative colitis （UC） is a chronic inflammatory bowel disease with complex etiology. The pathogenesis of this disease， due to a combination of factors， is complex and has not yet been elucidated. Among them， intestinal mucosal barrier damage is the basic pathological change of UC. As a non-destructive response of cells， autophagy regulates intestinal mucosal immunity， inflammation， oxidative stress， and bacterial homeostasis through degradation and reabsorption to actively repair damaged intestinal mucosal barrier， exerting a key role in the occurrence and development of UC. The disease is mainly treated clinically with aminosalicylic acid preparations， glucocorticoids， and immunosuppressants. Western medicine treatment of the disease has a fast onset of effect， and the short-term efficacy is definite， but the long-term application is easy to be accompanied by more adverse reactions. Moreover， some drugs are expensive， bringing great physical and mental pain and economic burden to patients. Therefore， it is urgent to explore new therapies with stable efficacy and mild adverse effects. In recent years， a large number of studies have shown that Chinese medicine can regulate autophagy of the intestinal mucosa with multiple targets and effects and repair the intestinal mucosal barrier function， thereby inhibiting the development of UC. Many experiments have shown that the active ingredient or monomers and compound formulas of Chinese medicine can improve the immunity of the intestinal mucosa， inflammation， oxidative stress， and flora by regulating the level of autophagy to maintain the normal function of the intestinal mucosal barrier to effectively intervene in UC， providing a new measure for the prevention and treatment of UC. However， there is a lack of systematic review of Chinese medicine in regulating the level of autophagy in the intestinal mucosa for the prevention and treatment of UC. Therefore， based on the current research on UC， autophagy process， and Chinese medicine treatment， this article reviewed the relationship of autophagy and its key target proteins with UC to clarify the key role of autophagy in UC production and systematically summarized Chinese medicines targeting the regulation of autophagy to treat UC in recent years to provide new ideas for the treatment and drug development of UC.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.