Objective: To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment. Methods: We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning). Results: QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. Conclusion Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.

OBJECTIVE To build a new workflow of pharmacy intravenous admixture services （PIVAS）， effectively connect intelligent equipment， and promote the intelligent development of PIVAS. METHODS Based on intelligent auxiliary equipment， PIVAS workflow was optimized， and a process-oriented model was established. This model integrated intelligent prescription review （automatic prescription review+manual intervention mode）， intelligent labeling， intelligent allocation， intelligent sorting， and finished infusion quality inspection system. Furthermore， an assessment was conducted to examine unreasonable medical order rate of intelligent prescription review， the working efficiency and error rate of intelligent labeling machine and intelligent sorting machine， and the dispensing efficiency and accuracy of intelligent dispensing robot. RESULTS Under the intelligent prescription review mode， the rate of unreasonable medical orders decreased from 0.157% to 0.050% （P＜0.05）； automatic labeling efficiency reached 21.7 sheets/min， surpassing the manual labeling efficiency of 13.8 sheets/min （P＜0.05）， and the daily labeling error rate decreased from 6.1‰ to 2.5‰ （P＜0.05）. Simultaneously operating two dispensing robots significantly improved the efficiency of batch dispensing and reduced the residual amount of liquid medicine （P＜0.05）； additionally， a quality testing system for finished infusion was established， involving appearance， Tyndall effect， insoluble particles， turbidity， absorbance， pH and osmotic pressure， to ensure the quality of finished infusion and reduce the risk of infusion. CONCLUSIONS The new process of PIVAS connected with intelligent devices in our hospital can improve work efficiency， reduce dispensing errors， ensure the quality of finished infusion， and improve the level of pharmaceutical care.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objective To investigate the protective effect and underlying mechanisms of HydroMg, a novel sustained-release hydrogen donor, in a model of doxorubicin (DOX)-induced chronic cardiotoxicity. Methods H9C2 cells were treated with 1 μmol/L DOX and/or 1 μg/mL HydroMg, and mitochondrial membrane potential, reactive oxygen species (ROS) levels, and apoptosis were measured. In the animal experiment, mice were divided into control, HydroMg, DOX, and DOX＋HydroMg groups. The HydroMg group received intraperitoneal injection of HydroMg (100 mg/kg). Chronic cardiotoxicity was established by intraperitoneal injection of DOX (5 mg/kg every week) for four consecutive weeks; In the DOX＋HydroMg group, HydroMg (100 mg/kg) was administered intraperitoneally 4–5 h prior to each DOX injection. Cardiac function and remodeling were evaluated by echocardiography and heart weight index (HWI). The long-term survival of mice were analyzed. Subsequently, transcriptome sequencing was performed on myocardial tissues from the DOX group to identify key molecular alterations compared with controls. Results At the cellular level, HydroMg treatment effectively reversed DOX-induced mitochondrial dysfunction and oxidative stress, as evidenced by restored membrane potential, reductions in total ROS and mitochondrial superoxide levels by approximately 30% and 9%, respectively, and a decrease in the apoptosis rate from 34.13% to 18.27%. In the animal model, compared with the DOX group, HydroMg intervention increased left ventricular ejection fraction (LVEF) and fractional shortening (LVFS) by 9.62% and 5.82%, respectively, attenuated the reduction in HWI (4.41 mg/mm vs 3.53 mg/mm), and improved the 4-week survival rate (80% vs 60%). Transcriptomic analysis revealed that the core molecular features of DOX-induced cardiotoxicity, including widespread suppression of oxidative phosphorylation and antioxidant pathways. Conclusions HydroMg protects against DOX-induced chronic cardiotoxicity by alleviating oxidative stress and improving mitochondrial function, and provides a potential therapeutic strategy against DOX-related cardiotoxicity.

ObjectiveTo systematically investigate the medication rules of chicken-derived medicinals for treating children enuresis in ancient Chinese medical classicals. MethodsThe China Medical Classics V5.0 database was searched to identify formulas and passages containing chicken-derived medicinals for pediatric enuresis. A database was established using Microsoft Excel 2021 to extract information including formulas， therapeutic categories， natures， flavors， channel entry， processing methods， dosage forms， and administration methods. Frequency analysis was performed， while association rule analysis and cluster analysis were conducted using R software. Gephi 0.10.1 software was used for complex network analysis. ResultsA total of 171 records were included， comprising 36 single-herb formulas and 135 compound formulas， sourced from 64 classical medical monographs. The identified chicken-derived medicinals included jichang （Intestinum Galli）， jineijin （Endothelium Corneum Gigeriae Galli）， jigan （Gallina Hepar）， jishibai （Faeces Galli Albi）， jisu （Ingluvies Galli）， jiheling （Pluma Alae Galli）， and jiweimao （Chicken tail feathers）. The top three frequently used single herbs were jichang （17 times）， jineijin （8 times）， and jiheling （5 times）. Among compound prescriptions， the three most frequently recorded formulas were Jineijin Powder （鸡内金散， 43 times）， Jichang Powder （鸡肠散， 25 times）， and Guigan Pills （桂肝丸， 24 times）， with jineijin， jichang， and jigan being the predominant chicken-derived medicinals. When converting the daily dosage of chicken-derived medicines into modern dosage units， the dose ranged from 0.53 g to 33.57 g for jineijin， with 4.48 g being the most frequently used dose， and from 0.25 g to 30.00 g for jichang， with 17.90 g being the most frequently used dose. Chicken-derived medicinals were mostly used after processing， commonly employing burning （68 times）， roasting/ stir-baking （37 times）， and calcining （24 times） to preserve properties. Powders （117 times）， pills （45 times）， and decoctions （9 times） were the principal dosage forms， and administration with wine （70 times） was the most common method. The most frequently used herbal pair was jineijin and roucongrong （Herba Cistanches）， while the core prescription combinations were Tusizi Powder （菟丝子散）， Yangshi Jichang Powder （杨氏鸡肠散）， and Rongxiang Pill （茸香丸）. ConclusionChicken-derived medicinals ， such as jichang and jineijin， are commonly processed by burning or roasting before use in the treatment of enuresis. They are often combined with longgu （Fossilia Ossis Mastodi）， muli （Concha Ostreae）， sangpiaoxiao （Oötheca Mantidis）， roucongrong and rougui （Cortex Cinnamomi） to warm and tonify the kidney qi， arrest enuresis and emission with astringents. Pills and powders are the predominant dosage forms and are commonly administered before meals with wine or salted water.

Objective:To evaluate the safety and effectiveness of robot-assisted coronary artery bypass(RACAB).Methods:We retrospectively analyzed the clinical outcomes from 252 consecutive patients who underwent RACAB in our center between April 2021 and August 2023. The internal mammary artery(IMA) was harvested using the skeletonized technique with the assistance of the robotic system. Then, graft-to-target vessel anastomoses were performed via a 4-6 cm left fifth intercostal thoracotomy. Coronary angiography or coronary CTA was routinely performed before discharge.Results:149 patients(59.1%) underwent multi-vessel coronary bypass. 140 patients(55.6%) underwent total arterial bypass grafting, with 131 patients(52.0%) undergoing RACAB with in situ bilateral IMA. IMA harvesting failed in 6 patients(1.6%). One patient(0.4%) was assisted by extracorporeal circulation, and 5 patients(2.0%) underwent re-thoracotomy postoperatively. The patency rate of grafts was 96.6%(449/465). The 12-month and 24-month survival rate were 97.8% and 96.5% respectively; The 12-month and 24-month MACCE-free survival rate were 95.2% and 92.6%, respectively.Conclusion:RACAB is safe and feasible. With the assistance of the robotic system, in situ bilateral IMA can be obtained and bypassed to all target vessels territory. Extended follow-up is warranted.

AIM To invesigate the quantitative transmitting rules of benchmark samples of Ganjiang Lingzhu Decoction.METHODS HPLC fingerprints were established,after which principal component analysis and partial least squares discriminant analysis were performed.The contents of 6-gingerol,liquiritin and glycyrrhizic acid were determined,after which their transfer rates and dry paste rate were calculated.RESULTS There were 22 common peaks in the fingerprints for 15 batches of benchmark samples with the similarities of more than 0.9.Various batches of benchmark samples were clustered into 3 categories,4 principal components demonstrated the accumulative variance contribution rate of 92.676％,and liquiritin made a great contribution to grouping.In various batches of medicinal materials-decoction pieces,decoction pieces-standard decoctions and standard decoctions-benchmark samples,the transfer rates of 6-gingerol were 84.72％-100.00％,14.29％-24.14％,88.60％-99.36％,those of liquiritin were 74.38％-100.00％,38.54％-64.20％,96.91％-100.30％,and those of glycyrrhizic acid were 68.28％-103.27％,28.48％-49.79％,92.93％-100.49％,the dry paste rate was 13.75％-16.41％.CONCLUSION The preparation process for benchmark samples of Ganjiang Lingzhu Decoction is stable,6-gingerol,liquiritin and glycyrrhizic acid can be taken as their quality markers.Fingerprint combined with content determination can provides a reference for the quality control of Ganjiang Lingzhu Decoction and their related preparations.

Laccase is a type of polyphenol oxidase that can catalyze the oxidation of various substances,including phenols,aromatic amines,and catecholamines.It has been widely utilized in pollutant degradation and analytical applications.However,the high cost of preparation of natural laccase and its susceptibility to environmental factors,which can lead to denaturation and inactivation,limit its practical applications.Nanozymes,which are nanomaterials that exhibit enzyme-like properties,offer advantages such as easy preparation,adjustable activity,and exceptional stability.Currently,many types of nanozymes have been developed.Inspired by the coordination of Cu2+with amino acids in the active site of natural laccase,researchers have employed coordination synthetic strategies to prepare laccase-like nanozymes.The metal nodes in these laccase-like nanozymes include copper,manganese,and cerium,while the ligands involve a variety of chemicals like nucleotides,amino acids,polypeptides,and aromatic acids.By manipulating factors such as the metal-to-ligand ratio,reducing capacity of ligands,buffer solutions,chloride ions,bromine ions,the catalytic activity of laccase-like nanozymes can be finely tuned.In this paper,laccase-like nanozymes developed through coordination strategies were categorized and summarized,along with review of their analytical applications in detection of phenolic compounds,disease biomarkers,antibiotics,pesticides,sulfur-containing pollutants,and time-temperature indicators.Furthermore,the challenges currently faced in the research of laccase-like nanozymes and future research directions were discussed.

A second-order calibration method combined with excitation-emission matrix(EEM)fluorescence spectroscopy was presented for simultaneous quantitative analysis of two anti-hypertensive drugs,metolazone(MET)and valsartan(VAL),in human serum and urine,and the quantitative results were compared with the results obtained by zero-and first-order calibration methods.The results indicated that the methods based on zero-and first-order calibration were inadequate for accurately quantifying the components of interest in cases where severe spectral overlap and unknown interferences coexisted.However,it was possible to obtain satisfactory results with the second-order calibration method based on alternating normalization-weighted error(ANWE)algorithm because of its strong"mathematical separation",even when the fluorescence spectra of the target analytes and unknown interferents considerably overlapped.Correlation coefficients for both analytes were greater than 0.99,with mean recoveries of 104.9%±5.7%and 107.8%±9.2%for MET and VAL in human serum,and 103.7%±8.9%and 94.7%±3.8%in human urine,respectively.In addition,the sensitivity,selectivity,limit of detection,limit of quantification,repeatability,and reproducibility of the proposed second-order calibration method were thoroughly examined.All results indicated that the established method was capable of achieving simultaneous and accurate quantification of MET and VAL in human body fluids,which was expected to be applied to analysis of both drugs in clinical settings.

The academic literature on near-infrared brain functional imaging in the field of resuscitation medicine published in the Web of Science core collection,MEDLINE and PubMed databases from January 2006 to May 2025 were collected,which underwent statistical and visualized analyses with CiteSpace and VOSviewer software in terms of annual publication trends,authors,countries/regions,institutions,co-cited literature and keyword co-occurrence,clustering and emergence.It was pointed out that the overall number of publications in this research field had been on the rise in the past two decades.Stroke patients were the core research group in this field,and cortical activation mechanisms had always been the focus of research.Motor imagery was a high-frequency research content in this field,and multimodal technology integration was the trend of research in this field.New research ideas and methods were provided for relevent research in the field of rehabilitation medicine in China.