A major barrier to integrating pyrolysis-derived oil into conventional refinery technology is the presence of impurities, particularly halogens and metals, that can deactivate catalysts. This study presents a novel, cost-effective approach for the simultaneous analysis of a subset of halogens, metals, nonmetals, and metalloids in complex, industrially relevant distilled pyrolysis oil samples, this was previously achievable only through multiple techniques. Excellent results were obtained using a widely accessible inductively coupled plasma mass spectrometry (ICP-MS) method with helium gas mode and standard laboratory consumables, enabling high-throughput analysis and efficient evaluation of adsorbent performance. Sample preparation is straightforward, requiring only dilution in a compatible matrix, and provides accurate and precise quantification, with 75%-137% spike recovery for Be, Ti, V, Cr, Fe, Ni, Co, Cu, As, Se, Mo, Cd, Sb, Tl, and Pb, and 62%-65% spike recovery for Cl and 109%-133% spike recovery for Br. Additionally, an enhanced version of the method using ICP-MS/MS and hydrogen gas is described, which has higher accuracy with 69%-112% spike recovery for Be, B, Ti, V, Fe, Co, Ni, Cu, As, Se, Mo, Cd, Sb, Tl, and Pb, with 85%-102% spike recovery for Cl and 63%-93% spike recovery for Br. Helium mode detection limits for industrially relevant elements (V, Fe, Ni, Cu, As, and Pb) are less than 1.7 µg/kg, and less than 0.2 mg/kg for Br and Cl. This methodology facilitates rapid systematic evaluation of adsorption capacities of materials under time-on-stream conditions and supports robust comparisons across diverse operating environments.

The simplified RUBY represents an efficient reporter for monitoring plant transformation and, when combined with hairy-root system in grapevine, can facilitate the application of novel CRISPR technologies and gene functional study. Monitoring successful transformation events is essential for plant transformation and genome editing. The development and application of the RUBY reporter enable effective selection of transformation events based solely on distinct red pigmentation. Here, we report that a simplified version of RUBY (siRUBY), lacking the glucosyltransferase gene, also functions effectively as a visual selection marker for plant transformation. Furthermore, the siRUBY-assisted hairy-root system was established as a rapid and efficient platform for evaluating activity of adenine base editor (ABE) in grapevine. Targeted A-to-G base editing was achieved using ABE8e, with an average efficiency of approximately 14%. Moreover, this platform is also suitable for functional investigation of genes of interest. Knockout of the MYB4a gene promoted lignin deposition, likely through upregulating key lignin biosynthesis genes while repressing transcription of downstream flavonoid biosynthesis genes. Collectively, these results demonstrate that siRUBY coupled with grapevine hairy roots provides a robust platform for rapid and efficient genome editing in grapevine.

Bioaerosols play a pivotal role in the transmission of respiratory diseases, rendering bioprotective products essential for mitigating bioaerosol-mediated disease spread. However, current limitations in reproducible bioaerosol generation and accurate assessment of filtration efficacy significantly impede the precision and traceability of quality evaluations for bioprotective products. In this study, we aimed to develop a microbial reference material and establish a rapid quantification method for viable bacteria in bioaerosols to enable consistent bioaerosol generation and reliable quality assessment, respectively. We demonstrated that strain type, culture conditions, and bacterial growth phase significantly affect the bioaerosol generation efficiency. A self-isolated Staphylococcus aureus strain was selected due to its high tolerance to the stress associated with bioaerosol generation. Using this strain, we developed a microbial reference material with certified and traceable values to ensure stable and reproducible production of the bioaerosol. Furthermore, the bacterial viability within bioaerosols was accurately assessed by evaluating esterase activity through a multiparameter flow cytometry (FCM) method. Finally, a rapid and accurate quantification method for viable bacteria in bioaerosols was developed, which demonstrated excellent linear correlation with conventional methods (R2 = 0.982) and enabled the detection of mask filtration efficacy within 35 min. Collectively, we successfully developed a microbial reference material and a complementary FCM-based method for the rapid and accurate evaluation of bioprotective product quality. Our findings significantly enhance the bioaerosol-related detection efficiency and promote the standardization of bioaerosol generation and protection efficacy assessment.

To investigate the clinical value of Doppler ultrasound in the rapid evaluation of therapeutic efficacy of angioplasty and prediction of recurrence in patients with Budd-Chiari syndrome (BCS). A retrospective study was conducted on BCS patients who underwent angioplasty at our hospital between January 2015 and December 2024. Ultrasound examinations were performed preoperatively and within 7 days postoperatively to compare changes in ultrasound parameters. Follow-up ultrasounds were conducted postoperatively. Differences in ultrasound parameters between recurrence and non-recurrence groups were analyzed to identify indicators for the rapid evaluation of recurrence. Cox regression analysis was used to identify independent risk factors for recurrence. A total of 99 patients (51 males, 48 females; mean age 39.38 ± 12.20 years) were included. Postoperative ultrasound showed significant increases in portal vein (PV) diameter (p = 0.019) and velocity (p < 0.001), while caudate lobe thickness (p = 0.016), spleen length (p = 0.004), spleen thickness (p = 0.012), and ascites depth (p < 0.001) decreased. During follow-up, PV velocity slightly decreased in the non-recurrence group (25.1 cm/s vs 28.3 cm/s, p = 0.018), while it significantly declined in the recurrence group (21.4 cm/s vs 30.2 cm/s, p < 0.001). The median velocity decline was greater in the recurrence group (-7 cm/s vs -1 cm/s, p = 0.003). Multivariate Cox regression identified postoperative paraumbilical vein dilation (HR: 2.970, 95% CI: 1.232-7.156, p = 0.015) and preoperative high D-dimer levels (HR: 1.258, 95% CI: 1.079-1.466, p = 0.003) as independent risk factors for recurrence. Doppler ultrasound is a valuable tool for the rapid evaluation of hepatic drainage during follow-up, particularly through monitoring PV velocity. Postoperative paraumbilical vein dilation may serve as a predictive marker for future recurrence. Question Evaluating angioplasty efficacy in BCS is complex and time-consuming, while predicting recurrence with Doppler ultrasound is challenging. Findings During follow-up, ultrasound monitoring of portal vein flow velocity reflects hepatic drainage, while postoperative paraumbilical vein dilation was an independent risk factor for recurrence. Clinical relevance Doppler ultrasound allowed for rapid evaluation of postoperative hepatic drainage in BCS patients during follow-up, optimizes examination protocols, predicts future vascular recurrence, and establishes a foundation for individualized follow-up and treatment.

ABSTRACT Efficient seismic resilience assessment and maintenance management are vital for bridge network functionality after post-earthquake. This study presents an integrated Bayesian framework for rapid and reliable evaluation of similar bridges using limited computational resources. By updating fragility and resilience characteristics based on prior information from a reference structure, the method generalizes component-level fragility assessment to network level. Application to continuous rigid-frame bridges with varying pier heights demonstrates deviations within 0.07 compared to conventional approaches while reducing computational effort by approximately 30%. A two-level maintenance strategy further prioritizes network-level and component-level decisions. The framework offers a practical, scalable solution for resilience-based bridge management.

Rapid evaluation of asphaltene-paraffin content in crude oil by solid-state NMR

The earthquake doublet on 6 February 2023 served as an important test in Türkiye. It helped assess the vulnerability of Türkiye’s building stock under different seismic loading conditions across a large region. The widespread destruction and casualties observed in heavily damaged cities following the 6 February 2023 earthquakes served as a warning. This urged a re-evaluation of the seismic performance assessment framework and risk mitigation strategies. Seismic isolation technology is considered the best method for earthquake-resilient design. Passive control systems are primarily preferred for use in critical facilities, such as healthcare complexes and data centers. Properly designed seismically isolated hospital buildings exhibited superior performance during the 6 February 2023 earthquakes compared to fixed-base counterparts. However, their use in residential buildings in Türkiye is still limited due to impediments such as stringent code requirements and peer review processes. This study evaluates the effectiveness of the ELF procedure in the Turkish Seismic Design Code-2018, incorporating two site-specific studies and earthquake record scaling in Antakya city center. Moreover, it examines the influence of considering directivity effects for using seismic isolation systems in regions with high seismicity. An effective and rapid evaluation procedure is employed for the inelastic response of seismically isolated residential buildings in accordance with the TSDC-2018 without needing any particular academic or commercial software. A suite of differential equations using the design parameters is arranged to represent the overall dynamics of seismically isolated buildings. Disregarding the directivity effects in site-specific studies for the selected construction site in Antakya city center can result in large earthquake demands and careful attention should be given to reconstruction studies for urban planning and more detailed studies should be carried out including other complex mechanisms experienced during the 6 February 2023 Türkiye earthquake doublet.

To investigate the bonding performance between polymer waterproof coating (PWC) and expansive soil, 40 groups of expansive soil pull-out tests under different working conditions were carried out in this study. The variables considered included soil water content (12-27%), soil density (1.6-2.0g/cm3), and PWC coating thickness (0.8-1.5mm). The effects of these factors on bonding performance were systematically analyzed and discussed. The results show that soil density has the greatest effect on bond strength (relative importance = 0.7010), followed by water content (0.2778), while the contribution of coating thickness is minimal (0.0212). Bond strength increases approximately linearly with increasing soil density and reaches a maximum of 0.244MPa at a soil density of 2.0g/cm3. With increasing water content, bond strength first rises and then declines, following a quadratic relationship, with a peak value occurring near the optimum water content (15.1%). As the coating thickness increases, bond strength shows a decrease followed by an increase, and the highest value is obtained at a thickness of 1.5 mm. To enable a convenient and rapid evaluation of the bonding performance between PWC and expansive soil under engineering conditions similar to those considered in this study, predictive equations for bond strength were developed from the test results for different cases. The pulled out soil body (failure-body) exhibited a "soil-nail" effect. The longer the length of the failure-body, the stronger the "soil-nail" effect, and the more conducive to the bonding of PWC with expansive soil. Based on these analyses, recommended parameter ranges for practical application are proposed: a soil density not lower than 1.8g/cm3 (degree of compaction not lower than 90%), a water content close to the optimum water content, and a coating thickness of 1.5mm. The findings provide a scientific basis for the engineering application of PWC in expansive soil projects.

BACKGROUND Acute dyspnoea is a common yet diagnostically complex presentation in emergency departments (EDs), representing approximately 2.4% of all visits. Traditional diagnostic tools-clinical assessment, chest radiography, and laboratory tests-may lack the precision required for timely and accurate diagnosis. Point-of-care ultrasound (POCUS) offers real-time, bedside imaging and has emerged as a promising tool to address these limitations. AIM To evaluate the diagnostic accuracy and clinical effectiveness of POCUS vs conventional modalities in adults with acute dyspnoea in the ED. METHODS A comprehensive literature search was conducted across PubMed, EBSCO Host, MAG Online Library, Elsevier, and ProQuest without date restrictions. Studies were included if they involved adult ED patients undergoing POCUS for dyspnoea evaluation. Following PRISMA 2020 guidelines and PROSPERO registration (CRD42025649145), eligible studies were assessed using QUADAS-2, and diagnostic performance was analysed using MetaDisc software. Pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio (DOR), and receiver operating characteristic curves were calculated. RESULTS Out of 581 identified records, 44 studies met the inclusion criteria, with 19 included in the meta-analysis. The pooled sensitivity of POCUS was 85.6% (95%CI: 84.0%-87.2%) and specificity was 80.8% (95%CI: 79.0%-82.5%). The DOR was 68.09 (95%CI: 27.07-171.28), and the negative likelihood ratio was 0.14 (95%CI: 0.085-0.231), indicating strong potential to rule out serious pathology. Substantial heterogeneity was noted, mainly due to operator variability, study design, and diagnostic protocols. CONCLUSION POCUS offers accurate, rapid, and cost-effective evaluation of acute dyspnoea in EDs. Standardised training and further research on outcomes, protocols, and underrepresented populations are essential for consistent, effective implementation.

It is of great significance to clarify the evolution law and control mechanism of fracture conductivity in different production stages for the efficient development of coalbed methane. However, research on fracture conductivity in coal–rock remains limited, and the existing models are inadequate for predicting fracture conductivity with a consideration of staged proppant crushing. To address this gap, long-term conductivity tests were conducted on deep coal–rock under varying closure pressures and proppant gradation ratios. Within a coupled computational fluid dynamics and discrete element method (CFD-DEM) framework, a particle substitution scheme was integrated with the energy-based breakage model (Tavares breakage model) to develop a fracture conductivity predictor that incorporates proppant crushing and captures the time-dependent kinetics of proppant breakage during fracture conductivity evaluation. The model’s predictions align well with the experimental data, with an average error of less than 5%. The results indicate that fracture conductivity evolution can be delineated into three stages according to particle-breakage characteristics, (i) proppant pack compaction, (ii) the primary crushing of coarse proppant grains, and (iii) the secondary crushing of proppant fines, and the contributions of these three stages to the total conductivity loss are approximately 60%, 30%, and 10%, respectively. At a low closure pressure, fracture conductivity varies markedly among proppant packs with different particle sizes; once the closure pressure exceeds 40 MPa, the proppant pack enters the fines-breakage stage, and the conductivity differences among various particle size blends become marginal. Furthermore, a semi-empirical prediction model incorporating a composite crushing factor (CCF) was developed based on the Kozeny–Carman relationship, enabling a rapid evaluation of fracture conductivity in deep coal–rock fractures. Overall, these results provide a practical basis for fracture conductivity prediction and hydraulic fracturing parameter optimization in coal–rock reservoirs.

Red blood cells represent a widely used cellular model in cytotoxicity studies, particularly in hemocompatibility assessments. As enucleated cells, which are abundant and easily accessible in both humans and animals, red blood cells allow for rapid, reproducible, and low-cost evaluation of the toxicity of bioactive compounds, whether natural, synthetic, or nanoparticulate. From a functional perspective, the red blood cell membrane is highly sensitive to physical and chemical environmental changes (osmolarity, temperature, pH, and the presence of oxidizing agents). This sensitivity makes red blood cells an effective biosensor for detecting membrane damage, hemolysis, oxidative stress, methemoglobin formation, and aggregation processes. Therefore, in vitro tests using red blood cells allow for the preliminary evaluation in preclinical development, particularly for the early screening of cytotoxicity, membrane-disruptive effects, and hemocompatibility of small molecules, nanomaterials, and blood-contacting biomaterials. These techniques include hemocompatibility tests, evaluation of oxidative and osmotic damage, and evaluation of erythrocyte aggregation and function. However, the use of red blood cells as a cytotoxicity model also has significant limitations. As anucleate cells, erythrocytes lack organelles such as nuclei, mitochondria, or lysosomes, which prevents the evaluation of their effects on key intracellular processes such as protein synthesis, cell signaling, apoptosis, or endoplasmic reticulum stress. This lack of cellular complexity limits their usefulness as a sole model in studies of systemic toxicity or tissue-specific cytotoxicity. These tools offer an effective preliminary approach to anticipating risks in biomedical and pharmacological research.

INTRODUCTION. Evaluation of endodontic treatment outcomes through radiographic assessment is subject to interobserver variability and depends heavily on clinician experience. Artificial intelligence (AI) platforms offer potential for standardized, objective assessment of periapical healing. MATERIALS AND METHODS. This retrospective study analyzed 400 panoramic radiographs from patients who underwent root canal treatment between January 2023 and December 2024. An AI platform developed using TensorFlow and Keras, with model training in PyTorch and validation in MATLAB Deep Learning Toolbox, was employed. Three blinded expert endodontists independently assessed all radiographs, with consensus serving as the gold standard. Outcomes were classified as healed, healing, or diseased based on periapical index criteria. Diagnostic performance metrics including sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were calculated. RESULTS. The AI platform demonstrated overall accuracy of 89.8% in classifying treatment outcomes. For detecting healed cases, sensitivity was 92.3%, specificity 87.6%, PPV 88.9%, and NPV 91.5%. For diseased / persistent pathology detection, sensitivity was 88.7%, specificity 93.2%, PPV 84.3%, and NPV 95.1%. Agreement between AI and expert consensus was substantial (Cohen’s κ = 0.834, p &lt; 0.001). AI performance was superior in anterior teeth (93.2% accuracy) compared to molars (86.4% accuracy, p = 0.008). Processing time per radiograph averaged 2.3 ± 0.4 seconds. CONCLUSIONS. The AI-driven platform demonstrated high diagnostic accuracy comparable to expert assessment, with potential for standardized, rapid evaluation of endodontic treatment outcomes. Further prospective validation and clinical integration studies are warranted.

Evaluation of trabecular and subentheseal bone volume density in calcaneus with dual-echo ultrashort echo time magnetic resonance imaging: In vivo feasibility study.

An all-solid-state electrochemical system incorporating a potentiometric sensor and hydrogel electrolyte for evaluation of fish freshness.

Impact of Rapid Cytologic Evaluation of Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration on the Value of Adjunctive Transbronchial Biopsy in Sarcoidosis

A Definite Step Toward Clinical Implementation of AI-Assisted Rapid On-Site Evaluation During EUS-TA.

Rapid evaluation of fatigue properties of high-entropy alloys based on slip irreversibility localization

Noninvasive assessment of diastolic dysfunction relies on multiple echocardiographic indicators, including measurements from both standard B-mode images and Doppler, obtained at various cardiac locations such as the mitral annulus, tricuspid annulus, left ventricle, and left atrium. The diagnostic process is complex and subject to interobserver variability, making accurate and rapid evaluation challenging. Automated semantic segmentation of key cardiac structures, such as the left atrium, left ventricle, and mitral valve annulus, offers a potential solution by capturing temporal changes throughout the cardiac cycle. This study aims to improve the accuracy of segmenting the left atrium, left ventricle, and mitral valve annulus in echocardiographic images and to leverage the resulting temporal segmentation features for more reliable identification of diastolic dysfunction. This study presents Diff-TransUNet, a novel segmentation model incorporating a noise-robust Differential Transformer module. Evaluations on private (1137 training images, 135 validation images, and 88 test images), CAMUS (1400 training images, 200 validation images, and 200 test images), and EchoNet-Dynamic (5000 training images, 2546 validation images, and 2528 test images) datasets demonstrate improved performance over state-of-the-art methods, assessed by Dice coefficient (Dice), Intersection-over-Union (IoU), and 95th percentile Hausdorff Distance (HD95) metrics. Statistical analysis was performed to compare Diff-TransUNet with baseline methods across evaluation metrics. To control for errors arising from multiple comparisons, p-values were adjusted using the Benjamini-Hochberg false discovery rate (FDR) correction. Statistical significance was assessed at a 95% confidence level. In addition to p-values, Cohen's d effect size was computed to quantify the practical significance of performance differences. The proposed Diff-TransUNet achieved a Dice of 87.49%, IoU of 79.07%, and HD95 of 1.48 on the private dataset. Compared with state-of-the-art models, Dice improved by 1.35%-4.30% (p<0.05, Cohen's d=0.32-0.90), IoU by 1.97%-5.67% (p<0.05, Cohen's d=0.37-1.03), and HD95 by 0.16-0.83 (p<0.05, Cohen's d=0.21-0.90). On the CAMUS dataset, the model achieved a Dice of 88.74%, IoU of 80.58%, and HD95 of 2.83, showing improvements of 1.07%-4.96% (p<0.05, Cohen's d=0.18-0.63) in Dice, 1.55%-6.89% (p<0.05, Cohen's d=0.19-0.71) in IoU, and 0.41-2.85 (p<0.05, Cohen's d=0.12-0.46) in HD95 compared to advanced models. On the EchoNet-Dynamic dataset, the model obtained a Dice of 92.25%, IoU of 85.87%, and HD95 of 1.65, outperforming other methods by 0.42%-2.00% (p<0.05, Cohen's d=0.10-0.40) in Dice, 0.69%-3.21% (p<0.05, Cohen's d=0.10-0.43) in IoU, and 0.21-1.12 (p<0.05, Cohen's d=0.09-0.34) in HD95. Furthermore, by extracting volumetric segmentation features, the proposed method achieved an accuracy of 88.95% (95 % CI 87.15% to 90.08%) in identifying diastolic dysfunction. The proposed Diff-TransUNet model achieves significant improvements in ultrasound segmentation. Features extracted from the left ventricle, left atrium, and mitral annulus segmented by Diff-TransUNet can be effectively used for the identification of diastolic dysfunction.

BackgroundThe MORPHEUS platform comprised multiple open-label, randomized, phase Ib/II trials to identify early signals with different treatment combinations across multiple cancers. MORPHEUS-PDAC (NCT03193190) evaluated atezolizumab combinations in pancreatic ductal adenocarcinoma (PDAC). We describe outcomes with atezolizumab plus either motixafortide, cobimetinib, or two simlukafusp alfa regimens.MethodsEligible patients with advanced, pretreated PDAC were randomized to receive second-line (2 L) atezolizumab plus either motixafortide (BL8040; n = 15), cobimetinib (n = 14), simlukafusp alfa every 2 weeks (q2w; n = 15), or simlukafusp alfa every 3 weeks (q3w; n = 16); or control (mFOLFOX6 [n = 25] or gemcitabine plus nab-paclitaxel [n = 25]). Patients experiencing disease progression or toxicity who met eligibility criteria were enrolled to receive third-line (3 L) atezolizumab plus cobimetinib (n = 14), or atezolizumab plus simlukafusp alfa q2w (n = 1) or q3w (n = 6). Primary endpoints were objective response rates (ORRs) per RECIST 1.1 and safety.ResultsORRs were 7.1% with atezolizumab-simlukafusp alfa q2w, 8.7% with mFOLFOX6 (both 2 L; 0% in other arms), 14.3% with atezolizumab-cobimetinib, and 16.7% with atezolizumab-simlukafusp alfa q3w (both 3 L). Grade 3-5 adverse event rates were 53.3% (2 L atezolizumab-motixafortide), 64.3% (2 L atezolizumab-cobimetinib), 57.1% (2 L atezolizumab-simlukafusp alfa q2w), 53.3% (2 L atezolizumab-simlukafusp alfa q3w), 63.0% (2 L mFOLFOX6 or gemcitabine-nab-paclitaxel), 50.0% (3 L atezolizumab-cobimetinib), and 100% (3 L atezolizumab-simlukafusp alfa q3w).ConclusionsThe overall safety of atezolizumab combinations was manageable and consistent with each agent’s known safety profile. This novel trial design enabled rapid evaluations of 3 atezolizumab combinations; all had limited efficacy as 2 L or 3 L treatment for metastatic PDAC. New treatments are needed to improve outcomes in previously treated PDAC.

Abstract Purpose: Breast-conserving surgery (BCS) and sentinel lymph node biopsy (SLNB) are cornerstones of precision treatment for early breast cancer, aiming to balance oncological efficacy with cosmetic and functional preservation. However, current intraoperative margin evaluation and SLNB rely on frozen section pathology, which faces inherent technical limitations, including prolonged procedural time and considerable false-negative rates in detecting micro-metastases. To address these challenges, we developed a novel surface-enhanced Raman scattering (SERS) biosensor, targeting breast cancer-specific biomarker epithelial cell adhesion molecule (EpCAM), for rapid evaluation of surgical margins and lymph node metastasis status. Methods: The SERS biosensor was consisted of Au-IR808@EP and Beats@EP. Gold nanoparticles (AuNPs) were synthesized by sodium citrate reduction, which was then functionalized with EpCAM antibody and the Raman reporter IR808 to construct Au-IR808@EP. After physicochemical characterization, EpCAM-targeting ability of the biosensor was evaluated using EpCAM antigen standards and breast cancer cell lines. Tissue homogenates prepared from mouse models bearing high EpCAM-expressing MDA-MB-231-Epcam tumors, MCF-7 tumors, and the metastatic lymph nodes (MLNs) were then analyzed under the SERS biosensor to evaluate the pathology of tissues. Finally, clinical application was validated using surgical specimens from 20 breast cancer patients across two centers to distinguish malignant from normal tissues and identify MLNs. Results: The EpCAM-targeted SERS biosensor was successfully fabricated and formed a stable double-antibody sandwich complex upon antigen binding. It exhibited a detection limit (LOD) of 6.96 pg/mL for EpCAM standard solution. Subsequently, the method demonstrated excellent targeting capability in the detection of various breast cancer cells, with an LOD of 341 cells for MCF-7. In mouse models, the biosensor enabled rapid EpCAM detection within 11 minutes, effectively differentiating between high-EpCAM (MDA-MB-231-EpCAM) and low-EpCAM (MDA-MB-231-NC) tumors and MLNs. Meanwhile, it precisely differentiated tumor from normal tissues in 30 MCF-7 tumor-normal pairs (AUC = 1), and achieved an AUC of 0.995 in detecting 28 MLNs. Clinically, ex vivo rapid evaluation via the SERS biosensor effectively discriminated malignant breast tissues from normal tissues lesions (AUC = 0.91) and identified metastatic lymph nodes (AUC = 0.889) in surgical specimens from 20 BC patients. Conclusion: We successfully constructed an ultrasensitive SERS biosensor for efficient EpCAM targeting and rapid dual-functional assessment of surgical margins and nodal metastasis. As BCS and SNLB procedures play an increasingly important role towards precision surgery, this innovative technology holds strong potential to achieve optimized cosmetic appearances and better clinical outcomes. Citation Format: K. Lou, J. Bai, S. Fu, X. Shen, Y. Gao, S. Lin, C. Li, Y. Chen, G. Zhang. Rapid and ultrasensitive detection of surgical margin and metastatic lymph node via EpCAM-targeted surface-enhanced Raman scattering biosensor in breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-05-02.