Boron neutron capture therapy (BNCT) is a precision radiotherapy technology for tumors. On the international stage, Japan stands out as a representative country where BNCT has progressed into a mature clinical phase. Although China started relatively late, it has achieved rapid advancements through independent research and development in accelerator and neutron source equipment, domestically produced boron drugs, and clinically validated therapeutic efficacy. In several key indicators, China has now reached internationally advanced levels. Looking ahead, efforts should be prioritized toward the development of third-generation boron-based drugs, the standardization of treatment protocols, and cost reduction to enhance treatment accessibility, ultimately aiming to build a competitive BNCT clinical application and technological innovation system.

The clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein 9 (CRISPR /Cas9) immune system is an adaptive immune system widely distributed in bacteria and archaea. It precisely defends against invasion by exogenous phages, viruses, and plasmids through sequence-specific endogenous immune response mechanisms. As the most prominent member of this family, the CRISPR/Cas9 system has evolved into the most widely applied, flexible, and efficient technical platform in the field of genome engineering due to its exceptional genome modification capabilities. Within the CRISPR/Cas9 system, the Cas9 protein, precisely guided by a single-stranded guide RNA (gRNA), can specifically recognize target DNA sequences and induce double-strand breaks. This activates the cell’s DNA repair mechanisms, enabling gene knockout, knock-in, or modification. Demonstrating significant advantages in specificity, flexibility, and operability, CRISPR/Cas9 technology has shown immense potential in the medical field, opening new avenues for modernizing traditional Chinese medicine (TCM) research. On one hand, this technology can be used to construct precise disease models and tailor personalized treatment plans. It enables in-depth elucidation of the molecular mechanisms underlying the action targets and signaling pathways of TCM formulas and active components, thereby unraveling the scientific secrets of their complex mechanisms of action. On the other hand, it demonstrates powerful tool value in improving TCM germplasm resources, identifying and screening superior varieties, evaluating the controllability of TCM quality, and producing innovative drugs, providing technical support for the standardization and precision of TCM. Simultaneously, the high-throughput omics data generated by CRISPR technology is driving artificial intelligence (AI) to construct virtual disease models and drug prediction systems. This empowers the intelligent screening of effective TCM components, the precise prediction of potential targets, and the exploration of “reducing toxicity while enhancing efficacy” through formula combinations. This synergistic innovation between CRISPR and AI aligns perfectly with precision medicine’s urgent demand for personalized, efficient drug development, injecting new momentum into the modernization and transformation of TCM. This paper first systematically reviews and explains the developmental trajectory, structural basis, and action mechanisms of the CRISPR/Cas9 system, tracing its scientific evolution from a bacterial immune system to a gene-editing tool. It then comprehensively outlines the current state of convergence between precision medicine concepts and modernization research in TCM, analyzing the synergistic points and potential spaces for their integration. Against the backdrop of rapid precision medicine advancement, this paper emphasizes how CRISPR/Cas9 gene editing technology empowers in-depth analysis of TCM mechanisms—including specific applications in disease model construction, therapeutic target validation, and multi-target network regulation studies. It further elaborates on its multidimensional practical contributions to modernizing TCM, spanning key domains such as germplasm resource innovation, bioactive compound biosynthesis, quality standardization control, and novel TCM drug development. Finally, this paper envisions the future landscape of deep integration between CRISPR technology and AI: from data-driven intelligent drug screening to high-throughput precision discovery of effective TCM components, and further to intelligent model construction based on “reducing toxicity while enhancing efficacy” mechanisms. The synergistic convergence of these multidimensional technologies will pioneer new scientific paradigms and translational pathways for TCM modernization, propelling TCM toward leapfrogging development in the era of precision medicine.

Ticks are important disease vectors that pose serious threats to human health and animal husbandry. Understanding seasonal fluctuation in tick populations and their influencing factors provides a scientific basis for population management and the prevention and control of tick-borne diseases. Tick life stages are influenced by factors including population density, activity levels, survival rates, and other biological features that exhibit periodic changes. Seasonal fluctuations in tick populations directly impact population dynamics and the risk of disease transmission. This review primarily examines the factors that influence seasonal tick population fluctuations.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

Peripheral nerve injury refers to the impairment that occurs when the sens-ory nerves and motor nerves are damaged.Professor Zhang Hong has unique insights into the treatment of neurologically diseases in children.Based on the different manifestations of the disease,it is categorized under the traditional Chinese medicine concepts of"atro-phy syndrome","muscle injury"and"Bi syndrome".Professor Zhang believes that the disease is fundamentally rooted in the liver and kidneys,and that treatment should notonly address the acquired symptoms but also nurture the innate foundation.This article a-nalyze and summarize professor Zhang's clinical experience in using acupuncture,electroa-cupuncture,moving cupping,and moxibustion in the comprehensive treatment of peripheral nerve injury,providing a reference for clinical treatment of peripheral neuropathy in chil-dren.

Objective:To construct a decision tree model to predict the risk of breast cancer in patients with pathological nipple discharge.Methods:A total of 157 patients with pathological nipple discharge,who were diagnosed and treated at Weifang Municipal Hospital of Traditional Chinese Medicine from January 2019 to April 2024 and met the inclusion criteria,were selected.A risk prediction model for concurrent breast cancer in patients with pathological nipple discharge was developed using Logistic regression analysis.A decision tree was then constructed,and the predictive performance of the model was assessed based on the area under the receiver operating characteristic curve(AUC).Re-sults:The incidence of concurrent breast cancer among patients with pathological nipple discharge was 24.2%.Accord-ing to the results of binary Logistic regression analysis,elevated CEA and CA 153 levels in nipple discharge,as well as bloody discharge,emerged as independent risk factors for the development of breast cancer in such patients(P<0.05).Based on these findings,a decision tree model was constructed to predict the risk of concurrent breast cancer in patients with pathological nipple discharge.The validation results showed that the Logistic regression model had an AUC value of 0.800,while the decision tree model achieved an AUC value of 0.889.Conclusions:The decision tree model,built upon the identified influencing factors,exhibits strong predictive power for the risk of developing concurrent breast can-cer in patients with pathological nipple discharge,thus facilitating more precise preoperative diagnoses by clinicians for these patients.

Objective To summarize the clinical features,treatment and prognosis of patients with primary central nervous system lymphoma(PCNSL)with clonal bone marrow B cells,and to explore the influence on clinical diagnosis and treatment.Methods PCNSL patients with clonal bone marrow B cells diagnosed by flow cytometry between Jan 2020 and Jul 2023 at Huashan Hospital of Fudan University were enrolled.The auxiliary examination data of these patients were collected,including complete blood count,routine biochemistry,bone marrow aspiration and biopsy,contrast-enhanced brain MRI,and whole-body PET-CT.Kaplan-Meier was used to draw the survival curve,and relevant literature was reviewed.Results A total of 223 newly diagnosed PCNSL patients were included,187 of whom completed bone marrow puncture and biopsy evaluation.We found clonal bone marrow B cells in 16 of 187 cases(8.56%)by flow cytometry.2 patients showed B lymphoma involving the bone marrow.All patients received a high-dose methotrexate based chemotherapy.The median progression free survival(PFS)of 16 patients with clonal bone marrow B cells was 11.1 months,and the median PFS of 171 patients with normal bone marrow was 12.6 months.There was no significant difference in the PFS between the two groups.Conclusion PCNSL with clonal bone marrow B cells had no specific clinical features,but bone marrow flow cytometry showed clonal B cells.High-dose methotrexate treatment regimen is effective.There was no significant difference in PFS for PCNSL patients with clonal B cells and normal findings in bone marrow.Clonal B cells in bone marrow may be caused by monoclonal B-cell lymphocytosis(MBL),lymphoma involves the bone marrow and the presence of common precursor cells.Bone marrow examination should be performed in the initial evaluation of suspected PCNSL.

Cerebral autoregulation(CA)refers to the ability of cerebral blood vessels to maintain stable cerebral hemodynamics in response to changes in factors such as carbon dioxide concentration,mean arterial pressure,or cerebral perfusion pressure.Acute ischemic stroke has a high incidence,disability rate,and mortality rate.Previous studies have confirmed varying degrees of impairment in CA among patients with acute ischemic stroke after the onset of the disease,but the specific mechanisms remain not fully understood.This article reviewed the mechanisms of CA,assessment methods,and its application progress in acute ischemic stroke,with the intention of providing references for related research and clinical diagnosis and treatment.

Objective To analyze the application effect of acetaminophen preemptive analgesia combined with intercostal nerve block in thoracoscopic lobectomy.Methods A total of 120 patients with lung cancer who underwent thoracoscopic lobectomy admitted to Lu'an Traditional Chinese Medicine Hospital from January 2021 to September 2023 were selected as the study objects,and they were divided into the control group and the observation group according to random number table method,with 60 cases in each group.Patients in the control group were given acetaminophen preemptive analgesia before anesthesia induction,while patients in the observation group were given intercostal nerve block on the basis of the control group.The visual analogue scale(VAS)score,Ramsay sedation score,serum β-endorphin level and prostaglandin E2 level 3,12,24 and 48 hours after operation of patients in the two groups were compared.The stress response indexes such as norepinephrine(NE),epinephrine(E)and serum cortisol(Cor),as well as immune function indexes such as CD3+,CD4+and CD4+/CD8+before anesthesia induction and after extubation of patients in the two groups were compared.The incidence of adverse reactions after extubation of patients in the two groups were compared.Results The VAS scores of patients after surgery in the two groups gradually increased with time,and the Ramsay sedation scores gradually decreased with time.The VAS scores of patients in the observation group were lower than those in the control group at each postoperative time point,and the Ramsay sedation scores were higher than those in the control group,with statistically significant differences(P<0.05).The levels of serum β-endorphin and prostaglandin E2 of patients after surgery in the two groups gradually decreased with time.The levels of serum β-endorphin of patients at each postoperative time point in the observation group were higher than those in the control group,and the levels of prostaglandin E2 of patients at each postoperative time point in the observation group were lower than those in the control group,with statistically significant differences(P<0.05).The levels of NE,E,and Cor after extubation of patients in the two groups were significantly decreased(P<0.05),and those in the observation group were lower than those in the control group(P<0.05).The levels of CD3+,CD4+,and CD4+/CD8+after extubation of patients in the two groups were significantly decreased(P<0.05),and those in the observation group were higher than those in the control group(P<0.05).The total incidence of adverse reactions in the observation group was lower than that in the control group,with statistically significant difference(P<0.05).Conclusion The application of acetaminophen preemptive analgesia combined with intercostal nerve block in thoracoscopic lobectomy has good analgesic and sedative effects on patients,which is helpful to improve patients'immune function and reduce postoperative adverse reactions.

Peripheral nerve injury refers to the impairment that occurs when the sens-ory nerves and motor nerves are damaged.Professor Zhang Hong has unique insights into the treatment of neurologically diseases in children.Based on the different manifestations of the disease,it is categorized under the traditional Chinese medicine concepts of"atro-phy syndrome","muscle injury"and"Bi syndrome".Professor Zhang believes that the disease is fundamentally rooted in the liver and kidneys,and that treatment should notonly address the acquired symptoms but also nurture the innate foundation.This article a-nalyze and summarize professor Zhang's clinical experience in using acupuncture,electroa-cupuncture,moving cupping,and moxibustion in the comprehensive treatment of peripheral nerve injury,providing a reference for clinical treatment of peripheral neuropathy in chil-dren.