This paper summarizes Professor LU Fang's clinical experience in treating systemic lupus erythematosus （SLE） based on the differentiation and treatment of heat-toxin and blood-stasis in the collaterals. SLE is generally characterized by deficiency in origin with excess in manifestation. The core pathogenesis is heat-toxin obstructing the collaterals. During the acute active stage， the predominant pattern is blazing heat-toxin causing blood stasis， while in the chronic remitting stage， the main pattern is toxic stasis blocking the collaterals with qi and yin deficiency. Clinical treatment follows the basic principle that treat with salty-cold herbs， when heat invades internally and that assist with acrid-dispersing herbs when stasis obstructs the collaterals. The self-formulated Yimian Decoction （抑免汤） serves as the base formula and is applied in stages. During the acute active stage， it is often combined with herbs for clearing heat and detoxifying， cooling blood and resolving stasis， and unblocking the collaterals. In the chronic remitting stage， it is often combined with herbs for activating blood circulation and unblocking the collaterals， as well as tonifying qi and nourishing yin.

OBJECTIVE To upgrade the drug traceability code management system for a pediatric hospital under the “payment by code” background， aiming to comprehensively enhance traceability integrity， efficiency， and compliance. METHODS Taking Xiamen Children’s Hospital as the implementation setting， a before-and-after control design was adopted to construct an intelligent drug traceability code management system through systematic upgrades involving the technology platform， core mechanisms， and coordination with medical insurance. Key interventions included： upgrading a traceability code management platform and designing a dynamic code pool； innovating differentiated traceability mechanisms for routine， split-dose， and special drugs； establishing a tiered early-warning and emergency response system； and constructing a data coordination and quality control system. The drug traceability code upload rate served as the primary outcome. Process indicators such as the root causes distribution of failed uploads and the duration of medication returns， and a comprehensive outcome （the number of insurance-flagged abnormal prescriptions） were also analyzed. The data between the baseline period （April 2025） and the observation period （June-August 2025） were compared and evaluated. RESULTS After the upgrade， the overall upload rate of drug traceability codes increased from 9.21% （baseline） to 99.86% （August 2025）. The upload rate of traceability codes in previously unmanaged areas， such as the inpatient pharmacy and pharmacy intravenous admixture services， soared from 0 to nearly 100%. The proportion of non-uploads due to system issues fell from 66.44% （June 2025） to 2.62% （August Additionally， the number of insurance-flagged） abnormal prescriptions dropped sharply from 2 275.00 in the first “payment by code” policy month （July 2025） to 212.00 by the end of the observation period （August 2025）， a 90.70% decrease. CONCLUSIONS The developed management system effectively addresses complex scenario challenges such as high-frequency drug splitting. It significantly enhances traceability code upload performance and ensures a high degree of compliance with medical insurance data requirements. These outcomes contribute to proactive risk mitigation against insurance claim denials and demonstrate a concurrent optimization of pharmacy operations.

OBJECTIVE To investigate the protective effect and mechanism of saikosaponin C （SSC） on acute liver injury （ALI） in mice induced by carbon tetrachloride （CCl4） based on serum metabolomics. METHODS Forty mice were divided into blank group （water）， model group （water）， positive control drug group （Biphenyl diester drop pills， 150 mg/kg）， and SSC low- and high-dose groups （2.5， 10 mg/kg） using the random number table method， with 8 mice in each group. They were given water/ relevant drugs， once a day， for 7 consecutive days. One hour after the last administration， all mice were intraperitoneally injected with 0.2% CCl4 olive oil to induce ALI model， except for the blank group. After 17 hours of the modeling， the liver index of mice was calculated. The levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， lactate dehydrogenase （LDH）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and IL-1β in serum of mice were detected. The histopathological changes of liver tissue were observed. Meanwhile， the serum metabolomics of mice were analyzed by liquid chromatography-mass spectrometry. RESULTS Compared with the blank group， the levels of liver index， ALT， AST， LDH， TNF-α， IL-6， and IL-1β in the model group were significantly increased （P＜0.01）. Hepatocytes were edema， vacuolar degeneration， more necrosis， and a large number of inflammatory cells were infiltrated. Compared with the model group， liver index and serum index levels of mice were significantly decreased （P＜0.05 or P＜0.01）， accompanied by marked improvement in histopathological damage to the liver tissue. The metabolomics results showed that compared with the model group， there were 63 up-regulated and 256 down-regulated differential metabolites in the serum of mice in the SSC high-dose group， including prostaglandin B2， 20-hydroxy-leukotriene B4， 5- hydroxy-L-tryptophan， 7α -hydroxycholesterol， etc.； these metabolites were primarily involved in metabolic pathways such as arachidonic acid metabolism， 5-hydroxytryptamine synapse， primary bile acid biosynthesis. CONCLUSIONS SSC exerts a protective effect against CCl4-induced ALI by down-regulating the level of key metabolites such as prostaglandin B2 and 20-hydroxy-leukotriene B4， and then ruducing metabolic pathways such as arachidonic acid metabolism， 5- hydroxytryptamine synapse， and primary bile acid biosynthesis.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Objective To explore the effect of ionizing radiation on the fertility of male mice and its offspring and the intergenerational and transgenerational genetic effect mechanism of ionizing radiation through sperm DNA methylation sequencing.Methods Eight-week-old(8 w)C57BL/6 male mice were irradiated with 60Co radiation source at a dose of 3 Gy(3 Gy-F0 group,n=60)and non-irradiated mice of the same age were used as controls(0 Gy-F0 group,n=60).Afetr 5-,6-,7-,8-,9-,10-,11-,and 12-week radiation,the mice began to breed with healthy females,and the first generation(F1 generation)male mice then breed with healthy female mice to obtain the offspring(F2 generation)male mice.The structure of testis was detected by hematoxylin-eosin staining;serum follicle-stimulating hormone(FSH),testosterone(T)and luteinizing hormone(LH)levels were determined by enzyme-linked immunosorbent assay.Automatic sperm analysis system was used to detect sperm concentration and activity.The DNA of F0 generation sperm was extracted and analyzed by genome-wide DNA methylation sequencing.MassARRAY methylation sites were detected in sperm DNA of F1 generation mice and verified by quantitative polymerase chain reaction(qPCR).Results Compared with the 0 Gy-F0 group,male mice in the 3 Gy-F0 group gradually regained their reproductive ability 7 weeks after ionizing radiation.There was no significant difference in the number of surviving offspring between the 3 Gy-F0 group and 0 Gy-F0 group 10-11 weeks after radiation(P＞0.05).There were no significant differences in body weight,testicular morphology,or sperm concentration of F1 generation mice between the 3 Gy-F1 group and the 0 Gy-F1 group(all P＞0.05).However,compared with the 0 Gy-F1 group,the contents of LH,FSH and T in the 3 Gy-F1 group were all decreased(all P＜0.05),the testicle volume,total sperm motility rate,forward motility rate and the fertility were considerably decreased(all P＜0.05).DNA methylation sequencing showed that more differentially methylated genes were enriched in the pathway regulating microtubule formation.MassARRAY methylation sites analysis showed that the methylation level of Mid1 was significantly increased(P＜0.05 or P＜0.01).Mid1 was verified down-regulated in Fl and F0 sperm by qPCR(P＜0.05 or P＜0.01).However,there were no significant differences in volume of testes,testicular index,sperm concentration,sperm motility,hormone levels or Mid1 expression level between 0 Gy-F2 and 3 Gy-F2 mice in F2 generation male mice(all P＞0.05).Conclusion Sperm damage in mice caused by ionizing radiation at a dose of 3 Gy can recover by itself.However,it may decrease sperm activity by regulating Mid1 methylation level of sperm in F1 mice,thus affect the fertility of F1 mice,but has no effect on the fertility of male F2 mice.

[Objective]To investigate the genetic polymorphism of 42 short tandem repeats(STRs),including 41 non-CODIS loci from the Shenzhen Han population and evaluate their potential values in forensic application.[Methods]In our research,the AGCU 21+1 STR kit and Microreader? 23sp Direct ID System were applied to analyze the polymorphism of STR loci from 435 unrelated individuals of Shenzhen Han population.Modified-Powerstates and Arlequin v3.5 software were used to analyze the allele frequencies and forensic parameters,and perform the Hardy-Weinberg equilibrium test.[Results]A total of 418 alleles were detected from 435 unrelated individuals in Shenzhen,all consistent with Hardy-Weinberg equilibrium(P>0.05/42),with the allele frequency ranging from 0.001 1 to 0.552 9.Besides,the discrimination power(DP)ranged from 0.798 8(D1S1627)to 0.968 6(D7S3048),the polymorphic information content(PIC)ranged from 0.568 0(D1S1627)to 0.859 8(D7S3048),and the heterozygosity(H)ranged from 0.627 6(D1S1627)to 0.878 2(D20S470).Among all the STRs tested in the study,both D1S1656 and D21S1270 have 16 alleles and show the highest polymorphism.In comparison,only five alleles were observed in the D4S2408 locus,which displays the least polymorphism.[Conclusions]The 42 autosomal STR loci with high genetic polymorphism in Shenzhen Han population showed potential as an effective means for individual identification and paternity testing,especially in the cases with single parent or mutation detected.The obtained information can provide basic data for STR population genetics.

Beijing Children's Hospital affiliated to the Capital Medical University set up a three-tiered system for hemophilia and explore solutions for local and remote referral modes.Through the establishment of electronic database,improving drug management,assisting medical insurance reimbursement and other auxiliary measures,it smooths the two-way referral path of children with hemophilia.It can rationally allocate medical resources,promote the development of local professional medical ability,make rational use of rare disease drugs,improve the efficiency of medical insurance funds,strengthen the service capability of children with rare diseases through the joint reform of three medical systems,and ensure the treatment of difficult and severe child patients,improve the accessibility of high-quality diagnosis and treatment,effectively reduce the financial burden of patients.

Objective:To explore the clinical effectiveness of a self-designed robot reduction system for femoral intertrochanteric fractures.Methods:A retrospective study was conducted to analyze the 57 patients with intertrochanteric fracture who had been treated at Department of Orthopedics, The Fourth Affiliated Central Hospital of Tianjin Medical University from June 2022 to February 2023. The patients were divided into a robot group (using the self-designed robot reduction system to assist intramedullary nailing) and a traction bed group (using a traction bed to assist intramedullary nailing) based on their fracture reduction method. The robot group: 31 patients, 11 males and 20 females, with an age of (78.7±9.3) years; 16 left and 15 right sides; 17 cases of type 31-A1, 12 cases of type 31-A2 and 2 cases of type 31-A3 by the AO/OTA classification. The traction bed group: 26 patients, 12 males and 14 females, with an age of (78.7±7.7) years; 13 left and 13 right sides; 16 cases of type 31-A1, 9 cases of type 31-A2 and 1 cases of type 31-A3 by the AO/OTA classification. The 2 groups were compared in terms of reduction and operation time, intraoperative blood loss, fluoroscopy frequency, reduction quality, and VAS and Harris score at preoperation, 1 week and 6 months postoperation.Results:The 2 groups were comparable due to insignificant differences in their preoperative general data ( P>0.05). The robot group was significantly better than the traction bed group in reduction time [(4.4±2.2) min versus (9.4±3.2) min], operation time [(29.0±13.5) min versus (49.3±13.3) min], intraoperative blood loss [(76.5±30.5) mL versus (115.0±38.4) mL], fluoroscopy frequency [(10.2±2.6) times versus (14.8±3.2) times], and good/excellent rate of reduction [80.6% (25/31) versus 50.0% (13/26)] ( P<0.05). All patients were followed up for (6.8±0.3) months. Respectively, the VAS scores at preoperation and 6 months postoperation was (6.2±1.3) and (2.4±0.8) points for the robot group, and (6.3±1.3) and (2.7±0.8) points for the traction bed group, showing no statistically significant differences between the 2 groups ( P>0.05). However, the VAS score was (3.3±1.2) points for the robotic group and (4.8±1.5) points for the traction bed group at 1 week postoperation, showing a statistically significant difference between the 2 groups ( P<0.001). Respectively, the Harris scores at preoperation and 6 months postoperation were (35.3±3.0) and (88.7±3.4) points for the robot group, and (35.6±2.9) and (87.2±3.5) points for the traction bed group, showing no statistically significant differences between the 2 groups ( P>0.05). However, the Harris score was (57.3±3.7) points for the robotic group and (46.7±2.8) points for the traction bed group at 1 week postoperation, showing a statistically significant difference between the 2 groups ( P<0.05). The patient satisfaction rates in the robot and traction bed groups were 96.8% (30/31) and 92.3% (24/26), respectively, showing no statistically significant difference ( P>0.05). Conclusion:Our self-designed robot reduction for femoral intertrochanteric fractures can effectively shorten reduction and operation time, reduce bleeding and fluoroscopy frequency, and enhance anatomical reduction.

Alzheimer's disease is a common central neurodegenerative disease， mainly manifested by cognitive impairment and non-cognitive neuropsychiatric symptoms that severely affect patients' daily life and behavioral functioning. The pathogenesis of Alzheimer's disease is still unclear， and the western medicine currently used to treat Alzheimer's disease is only symptomatic， with a single pathway， limited efficacy， and many side effects. In recent years， with the deepening of research on Alzheimer's disease， the study and application of traditional Chinese medicine （TCM） in the treatment of Alzheimer's disease have gradually increased. Several studies have shown that TCM and its effective components can exert anti-Alzheimer's disease effects by regulating molecular mechanisms such as pathological protein production and aggregation， oxidative stress， neuroinflammation， ferroptosis， mitochondrial dysfunction， neurogenesis and neurotransmission， and brain-gut axis. This paper summarized the research progress of TCM in the treatment of Alzheimer's disease in recent years， so as to provide a reference for further study of the specific mechanism of TCM in the prevention and treatment of Alzheimer's disease and the discovery of effective components of TCM.