Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

Objective: To systematically compare the types and contents of volatile organic compounds (VOCs) in purplish-brown and yellow-brown Ziziphi Spinosae Semen, and to provide a scientific basis for their rapid identification and quality evaluation.
Methods: Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) was employed to determine the VOCs in two colored samples. GC-IMS spectra and fingerprint profiles were established, and chemometric methods including principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to visualize the differences in volatile components.
Results: A total of 44 VOCs were identified, including 1 aldehyde, 9 esters, 10 ketones, 2 enals, 14 alcohols, 3 acids, 2 furans, 1 disulfide, and 2 hydrocarbons. Alcohols and esters were the main volatile components. The fingerprint profiles showed high consistency within groups but significant differences between groups. Both PCA and PLS-DA effectively distinguished the two sample types. Compounds such as pentanol, methyl butyrate, 2-ethylfuran, 2-hexanol, and 2-methylpropenal were identified as key markers for differentiation.
Conclusion: HS-GC-IMS combined with chemometrics accurately distinguishes the volatile compounds of Ziziphi Spinosae Semen with different colors. This method is rapid, sensitive, and suitable for quality control and rapid authentication of Ziziphi Spinosae Semen.

Objective To investigate the characteristics of cognitive inhibition in children with hearing impairment and the impact of different types of materials on their cognitive inhibition.Methods From June,2024 to January,2025,21 children with hearing impairment from Liaocheng Special Education School and 20 typically developing children from Guotun Town Central Primary School in Yanggu County,Liao-cheng were randomly selected.A directed forgetting task was used in a mixed experimental design.The experi-mental procedure was presented using Eprime 3.0,and recall performance was recorded through paper-and-pen-cil tests.Results Three children with hearing impairment and two typically developing children were dropped down.The children with hearing impairment scored significantly lower on recall tasks than the typically developing children(F=13.545,P<0.001).In the typically developing children,recall performance under the memory condition was sig-nificantly lower than under the forgetting condition(P<0.001).In the children with hearing impairment,there was no significant difference in recall performance between the memory condition and the forgetting condition(P>0.05).Regardless of whether the materials were letters or figures,all the children showed significantly high-er recall scores under the forgetting condition compared to the memory condition(P<0.01).Conclusion Children with hearing impairment exhibit weaker cognitive inhibition compared to typically developing chil-dren.The type of materials doesn't impact individuals'cognitive inhibition performance.

Objective:To explore the effect of Shenxianling granules on the pharmacokinetics of ondansetron. Methods:A method for detecting the plasma concentration of ondansetron using highperformance liquid chromatography (HPLC) was established. The reliability of the method was validated through specificity, linear relationship, precision, stability, repeated experiments, and sample recovery rate testing. Thirty six healthy male New Zealand rabbits were randomly divided into 2 groups, with 18 rabbits in each group. Rabbits in the single ondansetron group (single drug group) received intravenous injection of ondansetron 0.92 mg/kg through the ear vein. Rabbits in the Shenxianling granules combined with ondansetron group (combination drug group) were firstly given 575 mg/kg of Shenxianling granules by gavage continuously for 10 days, and on the morning of the 11th day, ondansetron 0.92 mg/kg was intravenously injected. Blood samples were collected before administration and at 5 minutes, 10 minutes, 20 minutes, 30 minutes, 45 minutes, 1 hour, 2 hours, 4 hours, 5 hours, 6 hours, 7 hours, 8 hours, 10 hours and 24 hours after administration of ondansetron. The blood concentration of ondansetron was detected using HPLC method and pharmacokinetic parameters were calculate. Results:Two New Zealand rabbits in the combination drug group developed agitation and cough, and then died on the second and fifth day of gavage, respectively. Therefore a total of 18 and 16 rabbits in the single drug group and the combination drug group completed the experiment, respectively. After ondansetron administration, the plasma concentration of ondansetron increased rapidly in the single drug group and remained at low levels in the combination drug group. From 5 minutes to 10 hours after administration, the plasma concentration of ondansetron at the 13 blood sampling time points in the combination drug group was significantly lower than that in the single drug group, and the differences were statistically significant (all P<0.001). Compared with the single drug group, the plasma clearance half-life of ondansetron in the combination drug group was significantly prolonged, the peak time, peak concentration, concentration at the last time and area under the curve (AUC) were all significantly reduced, and the percen- tage of residual or extrapolated area to the overall AUC, apparent volume of distribution, and clearance/bioavailability ratio were significantly increased; the differences were statistically significant (all P<0.001). Conclusions:There is a significant interaction between Shenxianling granules and ondansetron, leading to a decreased plasma concentration of ondansetron. The mechanism may be related to Shenxianling granules altering the tissue distribution of ondansetron within the body.

Objective To investigate the efficacy of voriconazole in the treatment of pulmonary tuberculosis complicated with chronic pulmonary aspergillosis(CPA)based on CYP2C19 gene polymorphism detection and examine the factors affecting the efficacy for improving targeted therapy in clinical practice.Methods A total of 207 patients with pulmonary tuberculosis complicated with CPA treated in the Third People's Hospital of Kunming from December 2018 to November 2022 were randomly assigned to an observation group(105 cases)or a control group(102 cases).The patients in the control group received standard voriconazole treatment,while the patients in the observation group had their voriconazole regimen tailored based on CYP2C19 genotyping results.Plasma drug concentration levels,efficacy,and safety were compared between the two groups and in terms of CYP2C19 genotypes.Logistic regression analysis was used to identify the factors affecting treatment efficacy.Results The observation group showed significantly higher plasma voriconazole concentrations and overall antifungal efficacy compared to the control group(P＜0.05).In the observation group,CYP2C19 genotyping identified 37 extensive metabolizers(EM),47 intermediate metabolizers(IM),and 21 poor metabolizers(PM).Plasma concentration of voriconazole did not show significant difference between EM and IM(P＞0.05),but both PM and IM were associated with significantly lower plasma concentration of voriconazole than PM(P＜0.05).The clinical efficacy rate was 100％for PM,91.5％for IM,and 83.8％for EM(P＜0.05).The incidence of adverse events did not show significant difference among the three genotypes(P＞0.05).Logistic regression analysis revealed that lung cavitation,hypoalbuminemia,and agranulosis were significantly correlated with therapeutic efficacy(P＜0.05).Conclusions CYP2C19 gene polymorphism detection is valuable in clinical practice.It can inform anti-aspergillus therapy with voriconazole to effectively improve symptoms and clinical efficacy in patients with pulmonary tuberculosis complicated with CPA.Meanwhile,clinicians should be aware of the factors such as hypoproteinemia,agranulocytosis,and lung cavitation that may affect the efficacy of voriconazole.

Objective:To predict the monthly incidence of hemorrhagic fever with renal syndrome (HFRS) in Hebei Province by using the generalized additive model (GAM).Methods:The incidence data of HFRS in Hebei from 2006 to 2020 were collected, and the correlation coefficients between meteorological factors and the monthly incidence of HFRS in Hebei were analyzed by Spearman's correlation, and the meteorological factors were lagged by 0-6 orders, and those with the largest absolute values of the correlation coefficients were screened to be included in the multifactorial GAM to evaluate the effects of meteorological factors.Results:The monthly incidence of HFRS had the strongest correlation with monthly mean air temperature at lag order 2, monthly mean wind speed at lag order 0, monthly mean sunshine at lag order 4, monthly mean precipitation at lag order 2 and monthly mean humidity at lag order 1, which were diagnosed by the variance inflation factor and included in the multifactorial GAM, and the results showed significant differences among the factors (all P<0.001), and they showed non-linear relationships with the monthly incidence of HFRS. Mean monthly temperature was an important factor influencing HFRS incidence. Mean monthly air temperature, mean monthly sunshine and mean monthly wind speed were negatively associated with HFRS incidence, whereas mean monthly precipitation and mean monthly humidity were positively associated with HFRS incidence. Conclusions:There was a complex non-linear relationship between meteorological factors and the incidence of HFRS. GAM incorporated with lagged meteorological factors can be used to predict the incidence of HFRS in Hebei.

OBJECTIVES: To explore the bioactive components in Jiawei Xiaoyao Pills (JWXYP) and their mechanisms for alleviating depression-like behaviors. METHODS: The active compounds, key targets, and pathways of JWXYP were identified using TCMSP and TCMIP databases. Thirty-six SD rats were randomized equally into 6 groups including a control group and 5 chronic unpredictable mild stress (CUMS)-induced depression groups. After modeling, the 5 model groups were treated with daily gavage of normal saline, 1.8 mg/kg fluoxetine hydrochloride (positive control drug), or JWXYP at 1.44, 2.88, and 4.32 g/kg. The depression-like behaviors of the rats were evaluated using behavioral tests, and pathological changes in the liver and hippocampus were examined with HE staining. The biochemical indicators in the serum and brain tissues were detected using ELISA. Serum metabolomics analysis was performed to identify the differential metabolites using OPLS-DA, and gut microbiota changes were analyzed using 16S rDNA sequencing. RESULTS: Network pharmacology revealed that menthone and paeonol in JWXYP were capable of penetrating the blood-brain barrier to regulate inflammatory pathways and protect the nervous system. In the rat models subjected to CUMS, treatment with JWXYP significantly improved body weight loss, sucrose preference and open field activities, reduced liver inflammation, alleviated structural changes in the hippocampal neurons, decreased serum levels of TNF‑α, IL-1β, IL-6 and LBP, and increased 5-HT and VIP concentrations in the serum and brain tissue, and these effects were the most pronounced in the high-dose group. Metabolomics analysis showed changes in such metabolites as indole-3-acetamide and acetyl-L-carnitine in JWXYP-treated rats, involving the pathways for bile acid biosynthesis and amino acid metabolism. 16S rDNA analysis demonstrated increased gut microbiota diversity and increased abundance of Lactobacillus species in JWXYP-treated rats. CONCLUSIONS JWXYP alleviates depression-like symptoms in rats by regulating the neurotransmitters, inhibiting inflammation and oxidation, and modulating gut microbiota.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Gastrointestinal Microbiome/drug effects* ; Rats, Sprague-Dawley ; Depression/drug therapy* ; Neurotransmitter Agents/metabolism* ; Rats ; Inflammation ; Male ; Hippocampus ; Behavior, Animal/drug effects*

Objective:To explore the safety and efficacy of intraosseous regional administration (IORA) of vancomycin for preventing infection in primary total knee arthroplasty (TKA).Methods:A total of 124 patients with knee osteoarthritis undergoing TKA between February 2024 and May 2024 at nine hospitals were enrolled. Preoperative infection prophylaxis involved either IORA (0.5 g vancomycin administered via intraosseous regional infusion before incision) or intravenous infusion (1 g vancomycin via peripheral vein). The IORA group included 15 males and 47 females with a median age of 66.5 years (range, 60.0-70.0 years), while the intravenous group included 14 males and 48 females with a median age of 66.0 years (range, 61.8-70.3 years) years. Intraoperative samples were collected including fat and synovium tissues after incision, before prosthesis placement, and after tourniquet release; distal femoral cancellous bone during femoral osteotomy; proximal tibial cancellous bone during tibial osteotomy; proximal intercondylar cancellous bone before prosthesis placement; and peripheral blood from non-infused arms at surgery initiation and after tourniquet release. Vancomycin concentrations were measured using liquid chromatography-tandem mass spectrometry. Vital sign changes were recorded from admission to 5~10 minutes post-IORA (IORA group) or post-incision (intravenous group). Follow-ups were conducted on postoperative day 1 and 3, and at 1 and 3 months, to document complications including IORA-related adverse events, periprosthetic joint infections, surgical site infections, red man syndrome, acute kidney injury, deep vein thrombosis and so on.Results:Vancomycin concentrations in bone, fat, and synovial tissue samples were significantly higher in the IORA group than in the intravenous group ( P<0.05), while vancomycin concentrations in blood samples were significantly lower in the IORA group than in the intravenous group ( P<0.05). Only 7.3%(41/558) of tissue samples in the IORA group had vancomycin concentrations below 2.0 μg/g (the minimum inhibitory concentration of vancomycin against coagulase-negative staphylococcus), compared to 59.3%(331/558) in the intravenous group (χ 2=11.285, P<0.001). In the intravenous group, 16.9%(21/124) of blood samples had vancomycin concentrations exceeding 15.0 mg/L (the threshold associated with a significantly increased risk of nephrotoxicity), while all concentrations in the IORA group were below this threshold, the difference was statistically significant (χ 2=22.943, P<0.001). There were no statistically significant difference ( P>0.05) in vital signs changes before and after vancomycin administration between the two groups. Two patients in the intravenous group experienced incision exudate, while no other related complications occurred in either group. Conclusions:Compared to the traditional intravenous infusion of 1 g vancomycin, intraosseous injection of a low dose (0.5 g) of vancomycin achieves higher local tissue concentrations in the knee joint with a lower incidence of adverse reactions and is safe for infection prophylaxis. Despite guidelines not recommending the routine use of vancomycin for preventing infection after primary TKA, intraosseous injection of 0.5 g vancomycin may be considered intraoperatively for primary TKA in the following scenarios: patients in medical institutions with a high prevalence of methicillin-resistant staphylococcus aureus (MRSA) infections, patients with potential preoperative MRSA colonization, or patients with cephalosporin allergy.

Flexible conductive fibers have been widely applied in wearable flexible sensing. However, exposed wearable flexible sensors based on liquid metal (LM) are prone to abrasion and significant conductivity degradation. This study presented a high-sensitivity LM conductive fiber with integration of strain sensing, electrical heating, and thermochromic capabilities, which was fabricated by coating eutectic gallium-indium (EGaIn) onto spandex fibers modified with waterborne polyurethane (WPU), followed by thermal curing to form a protective polyurethane sheath. This fiber, designated as Spandex/WPU/EGaIn/Polyurethane (SWEP), exhibits a four-layer coaxial structure: spandex core, WPU modification layer, LM conductive layer, and polyurethane protective sheath. The SWEP fiber had a diameter of (458.3 ± 10.4) μm, linear density of (2.37 ± 0.15) g/m, and uniform EGaIn coating. The fiber had excellent conductivity with an average value of (3 716.9 ± 594.2) S/m. The strain sensing performance was particularly noteworthy. A 5 cm × 5 cm woven fabric was fabricated using polyester warp yarns and SWEP weft yarns. The fabric exhibited satisfactory moisture permeability [(536.06 ± 33.15) g/(m ²·h)] and maintained stable thermochromic performance after repeated heating cycles. This advanced conductive fiber development is expected to significantly promote LM applications in wearable electronics and smart textile systems.
Wearable Electronic Devices ; Polyurethanes/chemistry* ; Electric Conductivity ; Gallium/chemistry* ; Metals/chemistry*

Objective To develop a predictive model for assessment of the risk of the patients on prolonged mechanical ventilation after coronary artery bypass grafting with extracorporeal circulation.Methods A convenience sampling method was employed to select 2 334 patients who received the coronary artery bypass grafting(CABG)with extracorporeal circulation in our hospital from January 2021 to December 2023 as the study subjects.Preoperative,intraoperative and postoperative data were collected through structured queries from the electronic medical record system of hospital.The study subjects were randomly divided into a training set(n=1 633)and a validation set(n=701)following a 3:1 ratio.A risk prediction model was established using Logistic regression based on the training set data.Model fit was assessed using Hosmer-Lemeshow test,and predictive performance of the model was evaluated with the area under curve(AUC)of the receiver operating characteristic(ROC)curve.Results A total of 2,334 patients were included,of whom 215(9.2%)experienced the prolonged mechanical ventilation(>24 hours).The model developed from the training set identified seven factors that contributed to a prolonged mechanical ventilation:age(OR=1.03),body mass index(BMI,OR=1.14),time of extracorporeal circulation(OR=1.01),intraoperative blood transfusion(OR=4.15),postoperative serum total bilirubin(OR=1.08),postoperative serum albumin(OR=0.92)and postoperative re-sternotomy(OR=5.49).The AUC of the model for prediction of prolonged mechanical ventilation after CABG with extracorporeal circulation was 0.761,with a 95%CI of 0.716-0.806,a maximum Youden index of 0.105,a sensitivity of 77.94%,and a specificity of 64.38%.Validation using the validation set data yielded an AUC of 0.733,with a 95%CI of 0.662-0.804,a sensitivity of 75.32%,a specificity of 57.97%,and a predictive accuracy of 73.61%.Conclusion The risk prediction model developed in this study for prolonged mechanical ventilation after a CABG with extracorporeal circulation demonstrates a good predictive performance.It provides a reference for the nurses to identify the patient in high-risk of prolonged mechanical ventilation after a CABG with extracorporeal circulation and to implement preventive nursing measures.