Intrahepatic cholangiocarcinoma (ICC) is a highly malignant primary tumor originating from the intrahepatic bile duct epithelium. Current clinical consensus emphasizes that early detection,timely diagnosis,and R0 resection (when feasible) are critical strategies for improving outcomes. Advances in surgical techniques and multidisciplinary approaches have facilitated precision medicine-guided systemic therapies,including adjuvant and neoadjuvant regimens. These interventions significantly delay postoperative recurrence and improve 5-year survival rates. Systemic treatments have also modestly enhanced prognoses for advanced ICC patients. Artificial intelligence-driven radiomics and deep learning technologies show substantial efficacy in ICC diagnosis,prognostic assessment,and lymph node metastasis prediction,advancing precision medicine applications. Despite these therapeutic advances,survival outcomes-particularly for advanced-stage ICC-remain suboptimal. Future efforts should prioritize molecular signature-guided therapies,novel combination regimens,and artificial intelligence-assisted comprehensive management to establish a molecularly driven precision treatment framework.

Intrahepatic cholangiocarcinoma (ICC) is a highly malignant primary tumor originating from the intrahepatic bile duct epithelium. Current clinical consensus emphasizes that early detection,timely diagnosis,and R0 resection (when feasible) are critical strategies for improving outcomes. Advances in surgical techniques and multidisciplinary approaches have facilitated precision medicine-guided systemic therapies,including adjuvant and neoadjuvant regimens. These interventions significantly delay postoperative recurrence and improve 5-year survival rates. Systemic treatments have also modestly enhanced prognoses for advanced ICC patients. Artificial intelligence-driven radiomics and deep learning technologies show substantial efficacy in ICC diagnosis,prognostic assessment,and lymph node metastasis prediction,advancing precision medicine applications. Despite these therapeutic advances,survival outcomes-particularly for advanced-stage ICC-remain suboptimal. Future efforts should prioritize molecular signature-guided therapies,novel combination regimens,and artificial intelligence-assisted comprehensive management to establish a molecularly driven precision treatment framework.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

As China has become the second largest market for medical devices in the world,the domestic medical device industry has been growing.As an important part of preclinical evaluation of medical devices,large animal research directly affects the research and application of medical devices.Large animals are widely used in the evaluation of safety and feasibility of medical devices because they are closer to humans in terms of body size,anatomical structure and physiological functions.In large animal experimental research,the selection of suitable experimental animals and the establishment of suitable animal disease models are the basis for ensuring the smooth progress of experiments.In this paper,the selection of experimental animals and the establishment of disease models in medical device large animal experimental research are systematically sorted out,and the existing problems and deficiencies are pointed out.

Objective:To summarize the experience and effect of extracorporeal cardiopulmonary resuscitation (ECPR) in acute myocardial infarction (AMI) with in-hospital cardiac arrest (IHCA).Methods:The data of 70 patients with AMI-IHCA-ECPR in extracorporeal life support center of the first affiliated hospital of Nanjing medical university from January 2017 to December 2024 were retrospectively analyzed. The patients were grouped by Survival/death at 90 days, with/without combined intra-aortic balloon pump (IABP). Age, sex, Charlson comorbidity index, initial rhythm, Gensini score, ECPR initial blood gas pH and lactate value, no-flow time, time from cardiac arrest to extracorporeal membrane oxygenation (ECMO) initiation (CA-Pump On time), ECMO treatment time, 90-day survival rate were analyzed.Results:Among the 70 patients with AMI-IHCA-ECPR, 22 (31.4%) patients survived at 90 days, of whom 19 (86.4%) patients had good neurological outcomes. About 50% of AMI-IHCA-ECPR patients had severe multi-vessel coronary artery lesions, and there was no significant difference in survival outcomes among different vascular lesions. In the IABP group, the success rate of ECMO withdrawal was low, the duration of ECMO treatment was long, and the combination of IABP did not reduce the mortality. Compared with the death group, the 90-day survival group had a lower Gensini score, a higher ECPR initial blood gas pH and a lower lactic acid value.Conclusions:AMI-IHCA-ECPR combined with IABP did not show significant survival benefits, and about 50% of patients had severe lesions of multiple coronary arteries. It is difficult to evaluate the prognosis based on a single offender vessel. It is recommended to evaluate the outcome of patients by quantification of the severity of coronary artery lesions by Gensini score.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

Atherosclerosis(AS)is a chronic inflammatory disease involving disorders of lipid and iron metabolism.The establishment of suitable animal models is required to further the study of the etiology,pathogenesis,prevention,and therapeutic measures of AS.The main animal models of AS related to iron and lipid metabolism are mice and miniature piglets,especially male ApoE-/-mice.Single-factor high-fat diet-induced iron and lipid metabolism disorders are a common type of AS model,manifesting as elevated blood lipid levels,large plaques and iron deposition in the aorta,and significant increases in serum and liver iron levels.This review compares the effects of different intervention factors on iron and lipid metabolism in AS animal models,and summarizes the method of establishing AS animal models using dietary induction,chemical intervention,and gene modification,to provide references and inspiration for future research into AS and metabolic diseases and the development of new drugs.

As China has become the second largest market for medical devices in the world,the domestic medical device industry has been growing.As an important part of preclinical evaluation of medical devices,large animal research directly affects the research and application of medical devices.Large animals are widely used in the evaluation of safety and feasibility of medical devices because they are closer to humans in terms of body size,anatomical structure and physiological functions.In large animal experimental research,the selection of suitable experimental animals and the establishment of suitable animal disease models are the basis for ensuring the smooth progress of experiments.In this paper,the selection of experimental animals and the establishment of disease models in medical device large animal experimental research are systematically sorted out,and the existing problems and deficiencies are pointed out.

Atherosclerosis(AS)is a chronic inflammatory disease involving disorders of lipid and iron metabolism.The establishment of suitable animal models is required to further the study of the etiology,pathogenesis,prevention,and therapeutic measures of AS.The main animal models of AS related to iron and lipid metabolism are mice and miniature piglets,especially male ApoE-/-mice.Single-factor high-fat diet-induced iron and lipid metabolism disorders are a common type of AS model,manifesting as elevated blood lipid levels,large plaques and iron deposition in the aorta,and significant increases in serum and liver iron levels.This review compares the effects of different intervention factors on iron and lipid metabolism in AS animal models,and summarizes the method of establishing AS animal models using dietary induction,chemical intervention,and gene modification,to provide references and inspiration for future research into AS and metabolic diseases and the development of new drugs.

Ferroptosis is a form of iron-dependent cell death caused by a disorder of iron lipid metabolism.Its mechanism mainly includes lipid metabolism and iron metabolism,which are complicated and strictly regulated by various metabolic and signaling pathways.Current studies have shown that ferroptosis is associated with cancer,atherosclerosis,and neurological diseases.Traditional Chinese medicine(TCM)is characterized by various active ingredients,relatively high safety,and lower treatment costs,which possess unique advantages in clinical applications.It has been widely used in the treatment of various diseases.Taking the regulation of ferroptosis by traditional Chinese medicine as the entry point may be a new direction for the future prevention and treatment of various diseases.In this review,we discussed the mechanism of iron lipid metabolic disorders based on ferroptosis and the research progress of traditional Chinese medicine intervention to provide reference and treatment strategies for the prevention and treatment of related diseases.