The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

BACKGROUND:The pathogenesis of osteoporosis is complex,and its essence is the weakening of bone formation and the enhancement of bone absorption caused by various reasons,resulting in the imbalance of bone metabolism.In recent years,N6-methyladenosine has been found(N6-methyladenosine,m6A)methylation can prevent and treat osteoporosis by regulating bone metabolism. OBJECTIVE:Taking the regulation of bone metabolism by m6A methylation as an entry point,to systematically sort out and summarize the research progress of m6A methylation in osteoporosis,so as to provide certain theoretical reference bases for the search of new therapeutic targets for osteoporosis. METHODS:CNKI,WanFang,VIP,PubMed,MEDLINE,Nature,and Cochrane databases were retrieved for relevant literature published from database inception to 2023.The keywords were"osteoporosis,m6A methylation,bone metabolism,bone marrow mesenchymal stem cells,osteoblasts,osteoclasts"in Chinese and English.Duplicates and obsolete non-referenced documents were excluded,and a total of 73 standard papers were included for further review. RESULTS AND CONCLUSION:m6A methylation can affect the activity and differentiation of bone marrow mesenchymal stem cells,osteoblasts,and osteoclasts through various pathways to regulate bone metabolism and prevent osteoporosis.The regulatory process of m6A methylation is extremely complex,and its related proteins play different roles in different cells.Even in the same kind of cells,the same type of proteins may have radically different roles,regulating different physiological and pathological processes.

Objective:To analyze identification of copper death gene related subtypes,construction of prognosis model and influence of immune infiltration in osteosarcoma(OS)on basis of copper death gene.Methods:Survival and prognosis of OS associated copper death gene were analyzed combining by TARGET and GEO database.OS was divided into different subtypes of copper death by consistent clustering method.SSGSEA was used to analyze difference of immune cells in classification of copper death.Setting P value= 0.05 and q value=0.05,GO and KEGG enrichment analysis were performed on differential genes of copper death typing.Prognosis model was constructed according to results of Lasso regression analysis and cross validation,risk assessment analysis and ROC curve were used to evaluate accuracy of model prediction.Combined with clinical characteristics,nomograms were constructed to predict survival time of patients,and risk differences were analyzed.Immune cell infiltration and tumor microenvironment analysis were performed on OS samples."pRRophetic"package in R software was used to analyze drug sensitivity of OS samples.Results:FDX1,GLS,DLAT and PDHB as high-risk genes for OS prognosis were identified.According to copper death classification of OS samples,OS could be divided into two types:CRGclusterA and CRGclusterB.CRGclusterA was associated with Th2 cells,and CRGclusterB was associated with Th1 cells.Most OS copper death genes were highly expressed in CRGclusterA.Immune cell infiltration analysis results showed that γδ T cells,resting mast cells and resting dendritic cells were positively correlated with risk score,while CD8 T cells were negatively correlated with risk score.Drug sensitivity analysis showed that OS showed higher sensitivity to Elesclomol and GW.441756.Conclusion:Two subtypes of CRGclusterA and CRGclusterB are identified in this study.Four high-risk prognostic genes FDX1,GLS,DLAT and PDHB are identified,providing new insights into prognostic evaluation and immunotherapy target candidates for OS.

Objective:To investigate the impact of neuroendocrine function on postoperative complications and nutritional status in gastric cancer patients.Methods:Clinical data of 102 gastric cancer patients who underwent radical gastrectomy at the Department of General Surgery, First Affiliated Hospital of Soochow University, from Aug 2021 to Jun 2022 were retrospectively analyzed.Results:Among the 102 gastric cancer patients, 18 (17.6%) suffered from postoperative complications. Univariate analysis indicated that age, BMI, preoperative plasma ghrelin concentration, and preoperative hemoglobin levels were associated with early postoperative complications following radical gastrectomy. Multivariate analysis revealed that age, BMI, and preoperative plasma ghrelin concentration ( P<0.05) were independent risk factors for postoperative complications in gastric cancer patients. Differential analysis of ghrelin concentration demonstrated correlations with hemoglobin levels, skeletal muscle index, albumin, and creatinine, and a positive correlation with the skeletal muscle index. Conclusions:Reduced preoperative neuroendocrine hormone ghrelin concentration is an independent risk factor for postoperative complications in gastric cancer patients. Ghrelin concentration is correlated with the skeletal muscle index in these patients.

Ghrelin is a newly discovered gastrointestinal peptide that is involved in regulating the body's growth,development and energy balance,and plays a key role in the occurrence and progression of malignant tumors,such as cell proliferation,migration,invasion,apoptosis,inflammatory response and vascular disease.Generate immune cell infiltration and so on.Ghrelin affects the progression of gastric cancer by activa-ting NF-κB/p65 and AMPK and other signaling pathways.Ghrelin not only assist in early screening of gastric cancer,but also function a new marker for predicting the prognosis and survival of gastric cancer patients.Ghrelin and its analogs have clinical application value in the treatment of gastric cancer-related syndromes such as cachexia or sarcopenia.

Objective:To study the common pathogenesis of gout and rheumatoid arthritis(RA)by bioinformatics analysis.Methods:Microarray expression profiles of peripheral blood mononuclear cells in gout and RA were obtained from the GEO public da-tabase.R language and other tools were used to re-annotates the chip,and then the differential genes(DEGs)of the two were screened and the intersection was taken.The protein-protein interaction(PPI)network and topology analysis of common differential genes(CO-DEGs)were constructed by STRING database and Cytoscape software(including CytoNCA plug-in).The HubGene was screened and validated by ROC curve.Finally,the DAVID online analysis tool was used to perform GO and KEGG functional enrichment analysis of HubGene.Results:There were 9 HubGene screened,they were TNF,RGS1,CD69,IL7R,DDX3X,SOCS3,IFIT1,IFIT3,CCL3.GO enrichment showed that HubGene was mainly involves the regulation of virus,STAT receptor signaling pathway and positive regu-lation of neuroinflammatory response.KEGG enrichment showed that HubGene was mainly involved in Toll like receptor signaling pathway,TNF signaling pathway,JAK-STAT signaling pathway,adipocytokine signaling pathway,RIG-Ⅰ-like receptor signaling pathway and osteoclast differentiation.Conclusion:Using bioinformatics analysis,nine HubGene and related signaling pathways in-volved in the pathogenesis of gout and RA have been identified,which may serve as novel biomarkers and potential targets.

Background and Aims:In recent years,function-preserving proximal gastrectomy with reconstruction has become an important approach for the treatment of early gastric cancer.However,there is no standardized surgical technique,and the short-and long-term outcomes of various new procedures remain unclear.This study was performed to evaluate the safety and short-term efficacy of laparoscopic proximal gastrectomy plus esophagogastrostomy with single-flap technique for early gastric cancer. Methods:The clinical data and follow-up records of 7 patients who underwent laparoscopic proximal gastrectomy with single-flap esophagogastrostomy in the First Affiliated Hospital of Soochow University between December 2021 and December 2022 were retrospectively analyzed.Perioperative safety,postoperative reflux,anastomotic stricture at 6 months,and related nutritional parameters were assessed.The nutrition-related indicators of this group of patients were compared with those of 11 patients who underwent total gastrectomy with Roux-en-Y anastomosis for early gastric cancer during the same period. Results:All 7 patients successfully underwent laparoscopic proximal gastrectomy with single-flap esophagogastrostomy.The average operative time was(212.9±20.6)min,with anastomosis taking(54.7±10.5)min;the mean intraoperative blood loss was(28.6±9.0)mL.No Clavien-Dindo grade Ⅲ or higher complications were observed during hospitalization.None of the patients experienced significant reflux symptoms,although 1 patient developed anastomotic stricture 3 months after operation.There were no statistically significant differences in hemoglobin concentration,albumin level,prealbumin level,total protein concentration,and lymphocyte count between preoperative and 6-month postoperative measurements(all P＞0.05).Compared to patients who underwent total gastrectomy with Roux-en-Y anastomosis,those who had the proximal gastrectomy with single-flap esophagogastrostomy showed a lower percentage decrease in body weight,skeletal muscle area at the third lumbar vertebra(L3),visceral fat area at L3,and hemoglobin concentration at 1 year after operation(all P＜0.05). Conclusion:Laparoscopic proximal gastrectomy with single-flap esophagogastrostomy is a safe and feasible surgical option for early gastric cancer,offering effective anti-reflux outcomes while minimizing the risk of anastomotic stricture.This procedure has a lower impact on postoperative nutritional status compared to total gastrectomy.

Objective:To explore the molecular mechanism of Danggui Niantong Decoction in the treatment of gouty arthritis (GA) based on network pharmacology and molecular docking.Methods:By selecting for the active components and targets of Danggui Niantong Decoction with TCMSP, and retrieving the GeneCards, OMIM, PharmGKB and DrugBank databases to obtain GA related targets. The potential targets of Danggui Niantong Decoction in the treatment of GA were obtained by the intersection of mappings. The regulation network of Chinese medicine compound and protein-protein interaction network of Danggui Niantong Decoction were constructed by Cytoscape software, and the targets of Danggui Niantong Decoction in the treatment of GA were analyzed by GO and KEGG enrichment by David Database. Finally, molecular docking was performed by using Autodock software.Results:There are 198 active components that could treat GA in Danggui Niantong Decoction. The key active components are Quercetin and Kaempferol. There are 46 key targets, the core targets are NFE2L2, HMOX1, PPARA, PTGS2, IL1β, CXCL8. GO enrichment suggests that the key genes are primarily involved in many biological processes such as Inflammatory response regulation, response to oxidative stress, Fatty acid metabolism process, steroid metabolism, lipopolysaccharide response and reactive oxygen species metabolism. KEGG pathway indicates that Danggui Niantong Decoction mainly acted on IL-17 signal pathway, HIF-1 signal pathway, TNF signal pathway and AGE-RAGE signal pathway. Molecular docking shows that the active components of Danggui Niantong Decoction and action target of GA can combine toghether with high efficiency, and the structure is stable.Conclusion:Danggui Niantong Decoction has multi-component, multi pathway and multi-protein characteristics. Danggui Niantong Decoction can treat GA by regulating immune inflammatory reaction and oxidative stress reaction.

Objective: To explore the interaction effects and possible sex differences in childhood emotional overeating and polygenic influences on adolescent pubertal timing and tempo. Methods: In March 2016 (T0), all participants were recruited from grades 1 to 3 from two primary school of Bengbu, Anhui Province using cluster sampling, and follow up surveys were conducted once per year (T1, T2, T3). Emotional overeating was assessed at T1 and pubertal development was assessed annually (breast Tanner stage in girls and testicular volume in boys). The nonlinear growth model was used to estimate pubertal timing and tempo. Polygenic risk scores were calculated based on 17 SNPs for early pubertal timing. Hierarchical linear regression was performed to examine the interaction effects between childhood emotional overeating and polygenic risk scores on pubertal timing and tempo. Results: The complete data of 896 children were analyzed, including 373 boys (41.60%) and 523 girls (58.40%). A total of 203 (22.7%) children reported emotional overeating behavior at T1. After adjusting for several variables including early life adversity, delivery mode, and birthweight, only emotional overeating was associated with accelerated pubertal tempo among girls with a high genetic risk (B=0.19, 95%CI=0.07~0.32， P<0.01), although there was no association with pubertal timing (B=0.14, 95%CI=-0.12~0.41，P=0.28). In girls with a low genetic risk and boys, no evidence was found to support interaction effects between childhood emotional overeating and polygenic influences on pubertal timing and tempo (P＞0.05). Conclusion Emotional overeating was associated with a faster pubertal tempo in girls who had a high genetic risk of early pubertal development.

Objective: To evaluate the development trajectory of sugar-sweetened beverage (SSB) intake in childhood, and to explore the influence of different SSB intake patterns on childhood obesity. Methods: In 2016, a follow-up cohort study was carried out in two primary schools in Bengbu, Anhui Province. Three annual follow-ups were conducted in 1 263 children at baseline, and 997 children were included in the final analysis. Parental and student questionnaires were used to obtain basic information related to the children s consumption of SSBs. A group-based trajectory model (GBTM) was applied to classify the development trajectory of SSB intake patterns in childhood. Multiple linear regression analyses were performed to assess the correlation between different SSB intake patterns and childhood obesity. Results: GBTM identified four childhood SSB intake patterns, namely, the "persistently-low group (n=822), “decreasing-after-increasing” group (n=20), “gradually-decreasing” group (n=106), and “increasing” group (n=49). In the decreasing-after-increasing group and the gradually-decreasing group, baseline BMI levels and BMI levels obtained at the three follow-ups were significantly higher than those observed in the persistently-low group (F=6.26, 5.90, 5.99, 5.87, P<0.01). There were sex differences in the association between SSB intake patterns and the children s BMI levels. Among girls, after adjusting for confounding factors, the gradually decreasing group increased by 1.20 kg/m 2(B=1.20，95%CI=0.25-2.15, P=0.01) when compared with the persistently low group at the third follow-up. Among boys, no statistically significant association was found between SSB intake patterns and BMI levels (P>0.05). Conclusion Sex differences were observed with respect to the association between SSB intake patterns and obesity in children. Girls with a higher SSB intake had a significantly increased risk of obesity. Further studies are needed to explore the physiological mechanisms underlying sex differences, to provide the theoretical basis for developing intervention programs to prevent childhood obesity.