ObjectiveRetinal vein occlusion （RVO） is the second most common vascular disease leading to vision loss. Since its pathogenesis remains unclear， current Western medical treatments primarily target complications such as macular edema and neovascularization. The main therapeutic approaches include intravitreal injections of anti-vascular endothelial growth factor （VEGF） agents or corticosteroids， laser photocoagulation， and pars plana vitrectomy. However， these treatments cannot fully reverse disease progression or structural damage. Traditional Chinese medicine （TCM） has unique advantages in the clinical diagnosis and treatment of RVO， and integrated Chinese and Western medicine approaches may offer better clinical outcomes. This study， based on the clinical manifestations of RVO， systematically reviews the existing literature and evaluates the alignment of current RVO animal models with clinical manifestations. The aim is to identify the characteristics and limitations of existing models and provide recommendations and prospects for developing RVO animal models featuring the combination of disease and syndrome. MethodsDatabases including CNKI， Wanfang Data， PubMed， and Web of Science were searched with the keywords of "retinal vein occlusion" and "animal model". Model characteristics were assessed based on the diagnostic criteria for diseases and syndromes in both TCM and Western medicine. The alignment of each model with clinical manifestations was analyzed and evaluated. ResultsThe available RVO models were primarily established via methods such as laser photocoagulation， photodynamic therapy， diathermy， intravitreal drug injection， and mechanical modeling. These models demonstrated moderate overall alignment with clinical manifestations， mainly reflecting disease characteristics. However， they generally lack representation of TCM syndrome features. ConclusionExisting RVO models are predominantly based on Western medicine and lack TCM syndrome features. Western medical treatments for RVO have certain limitations， while syndrome differentiation and treatment in TCM offer potential advantages. Future research should focus on developing disease-syndrome integrated animal models that incorporate both pathological features and TCM syndrome characteristics. This approach will enhance the design of RVO models and facilitate both basic and clinical research， which make it a scientifically valuable and necessary endeavor.

ObjectiveRetinal vein occlusion （RVO） is the second most common vascular disease leading to vision loss. Since its pathogenesis remains unclear， current Western medical treatments primarily target complications such as macular edema and neovascularization. The main therapeutic approaches include intravitreal injections of anti-vascular endothelial growth factor （VEGF） agents or corticosteroids， laser photocoagulation， and pars plana vitrectomy. However， these treatments cannot fully reverse disease progression or structural damage. Traditional Chinese medicine （TCM） has unique advantages in the clinical diagnosis and treatment of RVO， and integrated Chinese and Western medicine approaches may offer better clinical outcomes. This study， based on the clinical manifestations of RVO， systematically reviews the existing literature and evaluates the alignment of current RVO animal models with clinical manifestations. The aim is to identify the characteristics and limitations of existing models and provide recommendations and prospects for developing RVO animal models featuring the combination of disease and syndrome. MethodsDatabases including CNKI， Wanfang Data， PubMed， and Web of Science were searched with the keywords of "retinal vein occlusion" and "animal model". Model characteristics were assessed based on the diagnostic criteria for diseases and syndromes in both TCM and Western medicine. The alignment of each model with clinical manifestations was analyzed and evaluated. ResultsThe available RVO models were primarily established via methods such as laser photocoagulation， photodynamic therapy， diathermy， intravitreal drug injection， and mechanical modeling. These models demonstrated moderate overall alignment with clinical manifestations， mainly reflecting disease characteristics. However， they generally lack representation of TCM syndrome features. ConclusionExisting RVO models are predominantly based on Western medicine and lack TCM syndrome features. Western medical treatments for RVO have certain limitations， while syndrome differentiation and treatment in TCM offer potential advantages. Future research should focus on developing disease-syndrome integrated animal models that incorporate both pathological features and TCM syndrome characteristics. This approach will enhance the design of RVO models and facilitate both basic and clinical research， which make it a scientifically valuable and necessary endeavor.

With the advent of the refractive era of cataract surgery, postoperative residual refractive error has become a key factor affecting visual quality. The accuracy of intraocular lens(IOL)power calculation is affected by multiple factors, including ocular biological parameters, calculation formulas, and lens constants. Currently, the lens constants widely used in clinical practice are mostly based on Western populations, which have a mismatch with the ocular characteristics of the Chinese population, such as shorter axial length and steeper cornea. Therefore, the personalized optimization of the constant has become a research hotspot. This review primarily summarizes the research progress on lens constant optimization in improving the accuracy of IOL power calculation. Currently, there is no consensus on lens constant optimization methods. Single-constant formulas can be optimized through iterative methods, while multi-constant formulas require the combination of linear or nonlinear strategies. Simplified gradient descent and data-driven techniques offer new optimization pathways, but cross-validation is needed to evaluate their performance. Segmented optimization based on axial length, corneal curvature, and anterior chamber depth has shown significant effectiveness in patients with special anatomical structures, effectively reducing postoperative refractive errors in different patient groups, but limitations remain in some extreme cases. The interaction of multiple parameters significantly impacts the predictive accuracy of complex cases. While new-generation formulas integrating multiple parameters or incorporating AI algorithms have improved accuracy, constant optimization still holds value. Currently, the complex relationships between multiple parameters and intraoperative dynamic changes require further in-depth research. Future research, including targeted population optimization studies, the development of real-time monitoring technologies, and innovative IOL designs, may make achieving zero postoperative refractive error a possibility.

Lumbar spinal stenosis (LSS) is a common disabling condition in the elderly, and its clinical assessment relies not only on imaging and neurofunctional indicators but also on traditional Chinese medicine (TCM) syndrome differentiation. To evaluate the concordance between existing LSS animal models and clinical characteristics of TCM and Western medicine, clarify their advantages and limitations, and explore their translational potential, Chinese and English databases, including CNKI, Wanfang Data, PubMed, and Web of Science, are searched using combinations of the terms "lumbar spinal stenosis," "model," "guideline," "consensus," and "norm" from inception to the end of June 2025. After screening, a total of 21 publications are included, of which 15 report animal experimental studies, and 6 are guidelines, consensus statements, or normative documents. Based on these, the existing modeling methods are summarized, diagnostic indicators are extracted from clinical guidelines and expert consensus, and clinical concordance is evaluated using an assessment system proposed in the relevant literature. The results show that the existing animal models are categorized into three concordance levels: high (laminectomy/spinous process removal with filling; laminectomy/spinous process + ligament/muscle removal with filling; autologous bone backfilling), moderate (nylon tape dural binding method, adjustable screws, fixation combined with removal of ligament/muscle), and low (balloon compression method, adjustable balloon compression method, bipedal standing, ligament/muscle resection, steel wire cerclage method). Overall, current animal models of LSS generally perform well in terms of structural construction but show clear limitations in replicating clinical diagnostic logic and TCM syndromes. Future research should enhance syndrome phenotype collection and enrich TCM-based evaluation systems based on existing models. Additionally, multifactorial integrated modeling strategies should be introduced to extend the depth of syndrome-level simulation. This study aims to analyze LSS animal models that can faithfully recapitulate disease pathogenesis, conform to clinical realities of both Western medicine and TCM clinical practice, and have broad application potential, so as to narrow the translational gap between experimental findings and clinical practice.

Objective To explore the distribution and epidemiological characteristics of single virus infection and mixed virus infection in patients with acute respiratory tract infection. Methods A retrospective study was conducted on 320 patients with acute respiratory tract infections who visited sentinel hospitals from January 2022 to January 2025. All patients underwent common virus detection and atypical pathogen human rhinovirus (HRV) detection. Results In this study, there were 204 patients (71.83%) with single virus infection, including 87 cases (42.65%) of atypical pathogen human rhinovirus (HRV) infection, 28 cases (13.73%) of influenza A virus infection, 35 cases (17.16%) of influenza B virus infection, 21 cases (10.29%) of respiratory syncytial virus (RSV) infection, 17 cases (8.33%) of adenovirus (ADV) infection, and 16 cases (7.84%) of parainfluenza virus (PIV) infection. There were 80 patients (28.17%) with mixed virus infection, including 57 cases (71.25%) of influenza virus+RSV mixed infection and 23 cases (28.75%) of ADV+PIV mixed infection. There were significant differences in the detection rates of HRV, RSV, influenza virus+RSV, and ADV+PIV among different age groups (P<0.05). The detection rates of HRV, RSV single and mixed virus were high in age of 0-5 years old, while the detection rate of ADV was high in age of ≥60 years old. Statistical differences were found in the detection rates of HRV, influenza A virus, influenza B virus, ADV, influenza virus+RSV, and ADV+PIV among different seasons (P<0.05). The detection rates of HRV, influenza A virus, influenza B virus, and RSV were high in spring and winter, the detection rates of ADV and ADV+PIV were high in summer, the detection rate of PIV was high in spring and autumn, and the detection rate of influenza virus+RSV was high in winter. There were no statistical differences in the detection rates of viral pathogens among patients with different genders (P>0.05). Conclusion Acute respiratory tract infection is mainly caused by single virus infection (HRV is the most common). Mixed infection is more common in influenza virus with RSV. Children aged 0-5 years old and elderly people over 60 years old are susceptible populations. Children have a higher risk of mixed infection, and the epidemic peak is concentrated in winter and spring.

OBJECTIVE To investigate the effects of dexborneol on the pharmacokinetic parameters of edaravone in rats under the pathological condition of cerebral ischemic stroke （CIS）.METHODS Twenty male SD rats were randomly divided into the edaravone group and the Edaravone and dexborneol concentrated solution for injection （EDB injection） group， with 10 rats in each group. A middle cerebral artery occlusion （MCAO） rat model was established using the modified Longa suture method. Within 5 min of ischemia-reperfusion， the corresponding drug solutions were injected via the tail vein at a dose of 2.5 mg/kg （calculated by edaravone）. Blood samples were collected from the orbital venous plexus at 0.08， 0.5， 1， 3， 6， 18， and 24 h after injection. With carbamazepine as the internal standard， the plasma concentration of edaravone was determined by ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） method. Pharmacokinetic parameters were calculated using DAS software and compared between the two groups.RESULTS Compared with the edaravone group， the peak concentration （ c max ） of edaravone in the EDB injection group was significantly increased （ P ＜0.05）， while no statistically significant differences were observed in the half life， time to peak， clearance， or area under curve （ P ＞0.05）.CONCLUSIONS Under the pathological condition of CIS， dexborneol can increase the c max of edaravone in the plasma of model rats， but has no significant effect on the systemic exposure or clearance of edaravone.

Peptide receptor radionuclide therapy (PRRT) with radiolabeled SSTR2 agonists is a treatment option that is highly effective in controlling metastatic and progressive neuroendocrine tumors (NETs). Previous studies have shown that an SSTR2 agonist combined with albumin binding moiety Evans blue (denoted as ¹⁷⁷Lu-EB-TATE) is characterized by a higher tumor uptake and residence time in preclinical models and in patients with metastatic NETs. This study aimed to enhance the in vivo stability, pharmacokinetics, and pharmacodynamics of ¹⁷⁷Lu-EB-TATE by replacing the maleimide-thiol group with a polyethylene glycol chain, resulting in a novel EB conjugated SSTR2-targeting radiopharmaceutical, ¹⁷⁷Lu-LNC1010, for PRRT. In preclinical studies, ¹⁷⁷Lu-LNC1010 exhibited good stability and SSTR2-binding affinity in AR42J tumor cells and enhanced uptake and prolonged retention in AR42J tumor xenografts. Thereafter, we presented the first-in-human dose escalation study of ¹⁷⁷Lu-LNC1010 in patients with advanced/metastatic NETs. ¹⁷⁷Lu-LNC1010 was well-tolerated by all patients, with minor adverse effects, and exhibited significant uptake and prolonged retention in tumor lesions, with higher tumor radiation doses than those of ¹⁷⁷Lu-EB-TATE. Preliminary PRRT efficacy results showed an 83% disease control rate and a 42% overall response rate after two ¹⁷⁷Lu-LNC1010 treatment cycles. These encouraging findings warrant further investigations through multicenter, prospective, and randomized controlled trials.

Bacterial biofilms can make traditional antibiotics impenetrable and even promote the development of antibiotic-resistant strains. Therefore, non-antibiotic strategies to effectively penetrate and eradicate the formed biofilms are urgently needed. Here, we demonstrate the development of self-propelled biohybrid microrobots that can enhance the degradation and penetration effects for Pseudomonas aeruginosa biofilms in minimally invasive strategy. The biohybrid microrobots (CR@Alg) are constructed by surface modification of Chlamydomonas reinhardtii (CR) microalgae with alginate lyase (Alg) via biological orthogonal reaction. By degrading the biofilm components, the number of CR@Alg microrobots with fast-moving capability penetrating the biofilm increases by around 2.4-fold compared to that of microalgae. Massive reactive oxygen species are subsequently generated under laser irradiation due to the presence of chlorophyll, inherent photosensitizers of microalgae, thus triggering photodynamic therapy (PDT) to combat bacteria. Our algae-based microrobots with superior biocompatibility eliminate biofilm-infections efficiently and tend to suppress the inflammatory response in vivo, showing huge promise for the active treatment of biofilm-associated infections.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence