Biomedical Engineering Letters最新文献

{"title":"IC-TCA-Net: a multimodal fusion framework with dimensionality transformation for two-year recurrence prediction in NSCLC.","authors":"Hye Ryun Kim, Kyongmin Sarah Beck, Jin Hyoung Kang, Helen Hong","doi":"10.1007/s13534-026-00588-7","DOIUrl":"10.1007/s13534-026-00588-7","url":null,"abstract":"<p><p>Accurate prediction of recurrence in non-small cell lung cancer (NSCLC) patients after curative surgery is essential for selecting appropriate adjuvant treatments and improving long-term survival. However, current recurrence prediction models are limited by their reliance on single-modality data or fusion techniques that are insufficient for addressing the challenges of modality heterogeneity and structural imbalance. In this study, we propose an end-to-end multimodal deep learning framework that integrates preoperative CT imaging and clinicopathological variables through a dimensionality transformation module to improve two-year recurrence prediction in NSCLC patients. We retrospectively analyzed 166 NSCLC patients who underwent curative surgical resection between January 2017 and December 2020. We developed IC-TCA-Net (Integrated Clinical data with Tumor-Centric Attention Network), a novel multimodal fusion framework that combines preoperative CT images and clinicopathological variables. The model employs modality-specific subnetworks: a dual-branch ResNet-18 with tumor-centric attention modules for CT images, and a feature selection for clinicopathological variables using univariate and multivariate analyses. To address dimensional disparity between high-dimensional imaging features and low-dimensional clinical vectors, we designed a dimensionality transformation module consisting of condensation and expansion layers. Model performance was evaluated using five-fold cross-validation. IC-TCA-Net achieved superior performance with an accuracy of 87.93 ± 3.77%, sensitivity of 82.09 ± 4.03%, specificity of 91.89 ± 7.62%, and an AUROC of 0.87 ± 0.05. Compared to the image-only TCA-Net and multimodal fusion baseline, the IC-TCA-Net showed statistically significant improvements in accuracy and specificity (paired t-test, <i>p</i> < 0.05). Ablation analysis demonstrated that the incorporation of the dimensionality transformation module yielded substantial performance gains, significantly improving accuracy (<i>p</i> = 0.002) and AUROC (<i>p</i> = 0.010), highlighting its critical role in effective multimodal fusion. SHAP analysis quantitatively demonstrated that the dimensionality transformation module successfully mitigated modality imbalance, facilitating a synergistic contribution from both imaging and clinical data. Our findings demonstrate that addressing dimensional disparity between heterogeneous modalities is essential for mitigating modality imbalance and achieving genuine multimodal synergy. To overcome this challenge, IC-TCA-Net incorporates a dimensionality transformation module that enables effective fusion of clinical and imaging data. This approach achieves superior predictive performance for 2-year NSCLC recurrence while maintaining a parsimonious architecture suitable for real-world clinical applications.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at https://doi.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 5","pages":"1299-1308"},"PeriodicalIF":3.4,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13615253/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149064892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrical stimulation promotes structural plasticity in cortical spheroids by modulating N-cadherin-dependent collective migration and mechanotransduction.","authors":"Eunmin Ko, Eunyoung Park, Jennifer H Shin","doi":"10.1007/s13534-026-00586-9","DOIUrl":"10.1007/s13534-026-00586-9","url":null,"abstract":"<p><p>Electrical stimulation (ES) is a promising tool for brain-computer interfaces and therapeutic neuromodulation, yet its cellular effects on neural tissue remain incompletely understood. Here, we examined the mechanobiological remodeling of 3D cortical spheroids in response to DC electrical stimulation. Prolonged stimulation (60 min) produced a duration-dependent phenotypic shift marked by reduced collective spreading, elevated traction forces, and enhanced neurite outgrowth and complexity, along with increased expression of the plasticity-related immediate-early genes Arc and c-Fos. Higher traction was observed near the spheroid periphery, where IBA1-positive microglia were enriched, suggesting a possible role for microglia in restricting spheroid spreading. This response was accompanied by spatial reorganization of N-cadherin from a peripheral cohesive pattern to a dense, heterogeneous clustered distribution. Pharmacological inhibition of N-cadherin with ADH-1 reversed the migration arrest, supporting a functional role for N-cadherin-mediated adhesion in this phenotype. In parallel, integrin β1 and fibronectin were upregulated and spatially reorganized, indicating substantial remodeling of the adhesion- and ECM-related microenvironment. Together, these findings provide a mechanobiological framework for understanding how electrical stimulation reshapes tissue organization and plasticity-related responses in neural systems, and highlight 3D cortical spheroids as a useful platform for investigating stimulation-induced tissue remodeling.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at https://doi.org/10.1007/s13534-026-00586-9.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 5","pages":"1273-1285"},"PeriodicalIF":3.4,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13615234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149064907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating optoacoustic microscopy with existing and emerging imaging modalities: a review.","authors":"Abhishek Ranjan, Mathias Novik Jensen, Astita Dubey, Sandeep Kumar Kalva","doi":"10.1007/s13534-026-00583-y","DOIUrl":"https://doi.org/10.1007/s13534-026-00583-y","url":null,"abstract":"<p><p>Multimodal imaging integrates complementary contrasts to improve the understanding of physiological processes and disease progression. In this review, we aim to summarize and critically assess the integration of optoacoustic microscopy (OAM) with established ultrasound-based and optical microscopy-based modalities, addressing how these hybrid systems enhance structural, functional, and molecular imaging across biomedical applications. A comprehensive literature review was conducted focusing on OAM-based multimodal microscopy platforms integrated with ultrasound microscopy and optical techniques, including optical coherence tomography, fluorescence microscopy, multiphoton microscopy, light-sheet microscopy, and Raman spectroscopy. Emerging strategies such as integration with quantitative phase imaging and advanced signal processing approaches, including the multiple signal classification algorithm, were also examined. Studies were analysed with respect to system design, image co-registration and fusion strategies, and application domains including oncology, dermatology, ophthalmology, and neuroscience. Multimodal OAM platforms demonstrated enhanced imaging performance by combining high optical contrast with improved penetration depth and functional sensitivity. These systems enabled detailed visualization of oxygenation, tumor angiogenesis, skin microarchitecture, retinal structures, and neuronal activity. Comparative analysis revealed trade-offs and synergies among modalities in terms of spatial resolution, penetration depth, frame rate, and field-of-view, highlighting the advantages of hybrid configurations over single-modality approaches. Hybrid OAM-based multimodal microscopy provides a powerful framework for comprehensive biomedical imaging. By leveraging complementary contrasts and advanced image fusion strategies, these platforms hold strong potential to advance both fundamental research and translational clinical applications.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 4","pages":"903-928"},"PeriodicalIF":3.4,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13476423/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148761818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a neural network predicting signals for time-domain diffuse optical tomography.","authors":"Shu Horie, Hidenobu Yajima, Makito Abe, Masayuki Umemura","doi":"10.1007/s13534-026-00578-9","DOIUrl":"10.1007/s13534-026-00578-9","url":null,"abstract":"<p><p>Time-domain diffuse optical tomography (TD-DOT) is a powerful method for diagnosing anomalies in biological tissue such as brain hemorrhage and tumor. However, numerical simulations for TD-DOT require exploring a large number of parameter combinations and demand substantial computational resources. To address this challenge, we develop a neural network (NN) that can rapidly infer time-resolved signals from given tissue parameters. A high-quality training dataset for the NN is generated using ray-tracing-based radiative transfer simulations for 640 different absorber parameter combinations. Using the simulation data, we utilize NN to construct an emulator reproducing time-resolved signals for any parameters not used in the training data. We train two NN models with different training datasets: one with Gaussian noise added and the other without Gaussian noise. The NN trained with noisy data demonstrates superior performance, accurately reproducing time-resolved signals for unseen parameters. Its errors remain comparable to the noise level in the training data, highlighting strong robustness and generalization capability. Each inference takes only [Formula: see text] seconds, which is [Formula: see text] times faster than a direct radiative transfer simulation. This drastic speedup suggests the potential for efficient inverse problem analysis and application in real-time clinical diagnosis.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 5","pages":"1243-1259"},"PeriodicalIF":3.4,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13615251/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149064889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optical coherence tomography for broad spectrum of thyroid carcinoma: a qualitative and quantitative analysis.","authors":"Woojin Lee, Soonyong Kwon, Hyeong Soo Nam, Hongki Yoo, Jae Yeon Seok","doi":"10.1007/s13534-026-00582-z","DOIUrl":"https://doi.org/10.1007/s13534-026-00582-z","url":null,"abstract":"<p><p>Optical coherence tomography (OCT) is a non-invasive imaging modality providing real-time micrometer-scale resolution without conventional tissue processing. This study evaluated the diagnostic potential of OCT for distinguishing normal thyroid tissue from a broad spectrum of thyroid carcinomas in a pathological context. OCT imaging was performed on formalin-fixed thyroid specimens from 41 cases, including papillary (PTC, <i>n</i> = 11), follicular (FTC, <i>n</i> = 6), oncocytic (OCA, <i>n</i> = 3), anaplastic (ATC, <i>n</i> = 9), and medullary thyroid carcinoma (MTC, <i>n</i> = 12), with corresponding hematoxylin and eosin sections for correlation. Quantitative parameters were developed or adopted, including surface irregularity, penetration depth, tissue brightness, and gray-level co-occurrence matrix texture features. Qualitative analysis demonstrated visualization of tumor-specific architectural patterns, while three-dimensional reconstruction enabled depth-resolved assessment of capsular invasion and peri-capsular vascular structures. All quantitative metrics significantly differentiated carcinoma from normal tissue and showed discriminative capability across carcinoma subtypes. These findings highlight OCT as a high-resolution, label-free modality with utility in thyroid cancer diagnosis.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13534-026-00582-z.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 4","pages":"1081-1094"},"PeriodicalIF":3.4,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13476220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148765485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-channel gamma burst dynamics and adaptive deep learning for robust EEG motor state decoding.","authors":"Ravi Suppiah, Noori Kim","doi":"10.1007/s13534-026-00577-w","DOIUrl":"https://doi.org/10.1007/s13534-026-00577-w","url":null,"abstract":"<p><p>Reliable motor decoding from single-channel EEG remains challenging due to low signal quality and strong inter-session variability. Traditional ERD/ERS features overlook transient high-frequency events that reflect key motor processes. This paper introduces a compact decoding framework that models gamma burst dynamics-including burst onset, duration, amplitude, and recurrence-as informative biomarkers of motor preparation and execution. Bursts are extracted using an analytic wavelet transform with adaptive thresholding, and combined with classical spectral features through a multi-stream adaptive deep learning model equipped with instance normalization and few-shot recalibration for session robustness. Experiments on the WAY-EEG-GAL dataset show that the proposed approach achieves competitive performance under a strict single-channel constraint and significantly improves cross-session accuracy by more than 10% over non-adaptive baselines. These findings highlight the functional relevance of gamma bursts and demonstrate the feasibility of practical, lightweight EEG-based motor BCIs.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 4","pages":"1059-1072"},"PeriodicalIF":3.4,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13476410/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148762532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring vancomycin using paired pulse voltammetry with a wireless instantaneous neurotransmitter concentration sensing system for point-of-care patient treatment.","authors":"Sheng-Ta Tsai, Mohamed M El-Gohary, Maximiliano A Hawkes, Amra Sakusic, Sangmun Hwang, Youngjong Kwak, Juan M Rojas-Cabrera, Sara A Vettleson-Trutza, Kristen M Scheitler, Charles D Blaha, John S Kuo, Jin Woo Chang, Dong Pyo Jang, Yoonbae Oh, Kendall H Lee, Hojin Shin","doi":"10.1007/s13534-026-00580-1","DOIUrl":"10.1007/s13534-026-00580-1","url":null,"abstract":"<p><p>Vancomycin is a glycopeptide antibiotic widely used for severe Gram-positive infections, particularly methicillin-resistant Staphylococcus aureus (MRSA). However, its narrow therapeutic index necessitates precise monitoring to avoid nephrotoxicity, ototoxicity, or hematologic toxicity. Current therapeutic drug monitoring relies on serum assays requiring several hours, delaying timely dose adjustments. Electrochemical approaches such as fast-scan cyclic voltammetry (FSCV) offer potential for real-time bedside monitoring. We used bare AS4 carbon fiber microelectrodes (CFMs) as the vancomycin sensor. The Wireless Instantaneous Neurotransmitter Concentration Sensing (WINCS) Harmoni system, a portable and clinically compatible platform, was used to perform FSCV measurements of vancomycin. Waveform parameters were optimized, and paired-pulse voltammetry (PPV) was applied to enhance detection selectivity in vitro across varying vancomycin concentrations. Two distinct oxidation peaks of vancomycin were observed. PPV analysis indicated that the + 1.44 V peak is predominantly pH-independent, while the + 0.69 V peak demonstrates pH-dependent characteristics. Furthermore, the optimized FSCV waveform yielded a detection limit of 0.36 μM with stable and reproducible signal performance. Paired-pulse FSCV using the WINCS Harmoni platform enables sensitive, real-time electrochemical detection of vancomycin. This approach may support future rapid point-of care monitoring and inform individualized dosing strategies in critical care settings.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 4","pages":"1047-1058"},"PeriodicalIF":3.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13476391/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148763341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biocompatible design of bioresorbable electronics and materials.","authors":"Minki Hong, Gilmo Kim, Seunghun Han, Jahyun Koo","doi":"10.1007/s13534-026-00576-x","DOIUrl":"https://doi.org/10.1007/s13534-026-00576-x","url":null,"abstract":"<p><p>Biocompatibility is the defining determinant for the clinical translation of implantable biomedical devices. As bioelectronics evolve toward softer, electroactive, and bioresorbable systems, traditional definitions of biocompatibility-largely focused on cytotoxicity and gross inflammation-are no longer sufficient. Instead, emerging bioresorbable devices demand <i>multidimensional biocompatibility</i>, encompassing immune modulation, mechanical and electrical matching, controlled degradation, and functional stability over clinically relevant time windows. This review offers a biocompatibility-focused overview of recent advances in bioresorbable materials and electronics, known as transient devices. Emphasis is placed on how material selection, device architecture, and degradation pathways jointly govern immune responses and tissue integration. A comparative framework is introduced to relate material classes to immune outcomes and degradation behaviors, and current biocompatibility evaluation metrics and international standards (ISO 10993) are critically discussed. Finally, we propose design guidelines and future research directions to accelerate the translation of next-generation bioresorbable electronics.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 3","pages":"643-652"},"PeriodicalIF":2.8,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13129179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental evaluation of a dual-band phased-array system for focused microwave thermotherapy.","authors":"Janghoon Jeong, Won-Young Song, Kwang-Jae Lee, Seong-Ho Son","doi":"10.1007/s13534-026-00579-8","DOIUrl":"https://doi.org/10.1007/s13534-026-00579-8","url":null,"abstract":"<p><p>This study presents an experimentally validated dual-band focused microwave thermotherapy (FMT) system capable of operating at both 100 MHz and 434 MHz within a single phased-array platform. The proposed system features a dual-band applicator array designed to support resonant operation at widely separated frequencies, thereby enabling the treatment of tumors varying in depth and size without the need for hardware modification. A time-reversal (TR) based excitation method was employed to determine the optimal phase and amplitude weights for each channel. Experimental phantom measurements demonstrated accurate field convergence at both frequencies, with focal spot sizes and positioning errors consistent with fundamental electromagnetic diffraction limits. Specifically, the 100 MHz band produced a broad focal region suitable for deep-seated targets, whereas the 434 MHz band generated a compact focus appropriate for high-resolution targeting at shallower depths. These results indicate that the proposed dual-band system offers enhanced adaptability compared to conventional single-band hyperthermia devices, providing a promising platform for future patient-specific cancer treatment.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 4","pages":"1073-1080"},"PeriodicalIF":3.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13476397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148759861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-power analog and mixed-signal circuit techniques for next-generation miniature implantable neural interface systems.","authors":"Linran Zhao, Yaoyao Jia","doi":"10.1007/s13534-026-00574-z","DOIUrl":"10.1007/s13534-026-00574-z","url":null,"abstract":"<p><p>Miniature implantable neural interface devices are increasingly critical for both neuroscience research and clinical neuromodulation applications. However, device miniaturization imposes stringent constraints on power, area, and performance, creating challenges for implementing energy-efficient neuromodulation, high-fidelity neural recording, and wireless data telemetry. This review provides a comprehensive overview of low-power circuit designs enabling next-generation neural interfaces. We discuss energy-efficient stimulation drivers for optogenetic neuromodulation, highlighting advanced switched-capacitor-based techniques that reduce supply voltage requirements while maintaining high-current LED pulses. Low-noise neural recording frontends, including preamplifier-fronted structures, as well as ΔΣ ADC-based and NS-SAR-based direct-digitizing architectures, are reviewed with emphasis on techniques for dynamic range extension, linearity improvement, and artifact tolerance. Finally, state-of-the-art backscatter-based wireless telemetry methods are presented, covering load-shift keying (LSK), frequency-splitting, and push-pull quadrature modulation approaches that decouple power and data transfer to achieve high data rates with minimal energy consumption. This review highlights the critical role of circuit-level innovations in overcoming the power and performance limitations of miniature implants and provides insights for the design of next-generation neural interface systems.</p>","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"16 3","pages":"681-692"},"PeriodicalIF":3.4,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13129172/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}