This paper systematically reviews the core concepts and lines of theoretical inheritance of major spleen-stomach theories in traditional Chinese medicine （TCM）， including spleen deficiency theory， spleen-stomach damp-heat theory， and liver-spleen disharmony theory. It is found that these theories have all undergone a developmental trajectory characterized by classical foundation， refinement of therapeutic methods， systematization of pathogenesis， and modern innovation. The evolution of spleen-stomach theory has achieved a shift from a singular focus on tonifying the spleen to regulating dynamic middle-jiao （焦） balance， and from localized spleen-stomach regulation to the circular movement of qi involving all five zang organs. In terms of modern disease-syndrome integrative research， spleen deficiency syndrome is shown to be closely associated with impairment of the gastrointestinal mucosal barrier， metabolic disorders， and gene polymorphisms related to Helicobacter pylori-associated gastric diseases. Spleen-stomach damp-heat syndrome is closely linked to hyperactive energy metabolism， inflammatory cytokines， and abnormal expression of aquaporins. Liver-spleen disharmony syndrome is mainly associated with dysregulation of the brain-gut axis and microbiota-related metabolic disorders. It is proposed that future research on spleen-stomach diseases and syndromes should further elucidate their potential multidimensional differential biological characteristics， thereby promoting the modernization of the TCM discipline of spleen-stomach studies.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Traditional Chinese medicine （TCM）， through its multi-target and systematic regulatory effects， has demonstrated unique advantages in the treatment of gastric precancerous lesions （GPL）. At present， TCM theoretical research on GPL is mainly reflected in three aspects， the integration of macroscopic syndrome differentiation， the inflammation-carcinoma transformation mechanism， as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL， and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways， gene expression regulation， cellular epigenetics， histone modification， and intestinal microecology. It is proposed that future research on GPL should focus on four key directions， establishing multi-omics data， exploring targeted intervention strategies on key regulatory nodes， advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies， and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system， coupled with interdisciplinary research， will provide valuable references for the clinical treatment and scientific research of GPL.

Objective To construct a lung cancer surgery-oriented disease-specific database covering the entire perioperative care pathway, thereby improving the quality and usability of key surgical data elements. Methods Real-world clinical data were extracted from a single-center thoracic surgery department. A standardized data model was established based on the open electronic health record (openEHR) standard. Large language model (LLM), optical character recognition (OCR), and artificial intelligence (AI)-driven techniques were employed to extract, structure, and perform quality control on unstructured clinical narratives, imaging reports, and radiological data, with a focus on capturing surgically relevant perioperative indicator. Results A multimodal database comprising 19 917 patients was established, including 7 930 males and 11 987 females, with ages ranging from 15 to 97 (61.7±9.7) years. The database includes 582 structured data variables, textual report data corresponding to 69 clinical indicators, 13 000 pulmonary function test PDF reports, and chest CT imaging data from 16 884 patients. This database comprehensively covers major information relevant to surgical diagnosis and treatment of lung cancer, significantly improving the completeness and granularity of surgical detail data. Large language models (LLMs) and optical character recognition (OCR) technologies enhanced the efficiency of converting unstructured data into structured formats, while a multi-level manual verification process ensured data accuracy and traceability. The database supports real-world research including comparisons of surgical procedures, prediction of postoperative complications, prognosis assessment, and multimodal data association analyses.

Animal model research on spleen and stomach diseases in traditional Chinese medicine （TCM） is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present， studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome， liver constraint syndrome， and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome， and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases， including chronic gastritis and gastric precancerous lesions， gastroesophageal reflux disease， functional dyspepsia， inflammatory bowel disease， irritable bowel syndrome， functional constipation， and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic， precise， and integrative development， and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.

Objective:To compare the efficacy of biplanar fixation combined with bone grafting and proximal femoral nail anti-rotation (PFNA) in the treatment of critically complicated osteoporotic intertrochanteric femoral fracture .Methods:A retrospective cohort study was conducted to analyze the clinical data of 28 patients with critically complicated osteoporotic intertrochanteric femoral fracture, admitted to Union Hospital, Tongji Medical College of Huazhong University of Science and Technology from January 2020 and December 2022, including 3 males and 25 females, aged 70-91 years [(79.4±6.3)years]. T score for bone mineral density was -2.5~-4.1 SD［（-3.3±0.6）SD］. All the patients were found with type A2.2-A3.3 fracture based on AO classification, and were complicated with trochanteric lateral wall fracture. Among them, 16 patients underwent biplanar fixation combined with bone grafting (biplanar fixation group), while 12 underwent PFNA internal fixation (PFNA group). All the patients received anti-osteoporosis therapy after surgery. The two groups were compared in terms of the operative time, intraoperative blood loss, hemoglobin levels at 3 days postoperatively, and time to weight-bearing. The visual analogue scale (VAS) scores and Harris hip scores at 1, 3, 6 months postoperatively, and at the last follow-up and the incidence of complications were also detected in the two groups.Results:All the patients were followed up for 12-16 months [(14.1±1.4)months]. In the biplanar fixation group, the operative time was (75.1±15.3)minutes, significantly longer than (45.6±14.2)minutes in the PFNA group ( P<0.01); the intraoperative blood loss was (234.1±11.8)ml, significantly more than (170.0±13.4)ml in the PFNA group ( P<0.01); the hemoglobin level at 3 days postoperatively was (82.6±9.3)g/L in the biplanar fixation group, higher than (64.8±6.8)g/L in the PFNA group ( P<0.01). The time to weight-bearing was (1.1±0.7)weeks in the biplanar fixation group, significantly shorter than (3.2±1.2)weeks in the PFNA group ( P<0.01). There were no statistically significant differences between the two groups in VAS scores and Harris hip scores at 1, 3, 6 months postoperatively, and at the last follow-up ( P>0.05). The VAS scores and Harris hip scores in the two groups were gradually improved with the prolongation of postoperative time ( P<0.05 or 0.01). No complications such as neurovascular injuries were observed in either group. One patient in the biplanar fixation group developed lower extremity deep vein thrombosis (DVT), with a complication rate of 6.3%, while 2 patients in the PFNA group developed lower extremity DVT and 4 hypostatic pneumonia, with a complication rate of 50.0% ( P<0.05). Conclusion:Compared with PFNA internal fixation, biplanar fixation with bone grafting has the advantages of less postoperative blood loss, earlier weight-bearing exercises and lower incidence of complications in the treatment of critically complicated osteoporotic intertrochanteric femoral fracture, despite longer operative time and more intraoperative blood loss.

Venetoclax (Ven) is now widely used for both acute myeloid leukaemia (AML) and high-risk myelodysplastic syndrome (MDS), yet there is no consensus on salvage regimens after Ven failure. This study retrospectively evaluated the efficacy and safety of selinexor combined with subcutaneous decitabine (DAC) in 10 patients with AML or MDS with excess blasts (MDS-EB1/2) who had experienced prior Ven treatment failure. A literature review was also performed. Among the 7 patients with AML, 1 achieved complete remission (CR), 2 achieved CR with incomplete hematologic recovery (CRi), 1 achieved partial remission (PR), 2 had no remission, and 1 experienced disease progression (PD). Among the 3 patients with MDS, 2 achieved marrow CR and 1 had stable disease (SD). The median duration of response among the 6 responding patients was 2 months (range, 0.5-6 months). All 10 patients experienced varying degrees of myelosuppression. Five patients had mild gastrointestinal reactions, all of which were manageable. The overall tolerability was good, and no treatment-related deaths occurred. These findings suggest that selinexor combined with subcutaneous decitabine offers a novel and well-tolerated therapeutic option for patients with myeloid malignancies who have previously failed venetoclax-based therapy.