Bioengineering最新文献_第3页

Encoder-Decoder Variant Analysis for Semantic Segmentation of Gastrointestinal Tract Using UW-Madison Dataset.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-18 DOI: 10.3390/bioengineering12030309

Neha Sharma, Sheifali Gupta, Dalia H Elkamchouchi, Salil Bharany

{"title":"Encoder-Decoder Variant Analysis for Semantic Segmentation of Gastrointestinal Tract Using UW-Madison Dataset.","authors":"Neha Sharma, Sheifali Gupta, Dalia H Elkamchouchi, Salil Bharany","doi":"10.3390/bioengineering12030309","DOIUrl":"10.3390/bioengineering12030309","url":null,"abstract":"The gastrointestinal (GI) tract, an integral part of the digestive system, absorbs nutrients from ingested food, starting from the mouth to the anus. GI tract cancer significantly impacts global health, necessitating precise treatment methods. Radiation oncologists use X-ray beams to target tumors while avoiding the stomach and intestines, making the accurate segmentation of these organs crucial. This research explores various combinations of encoders and decoders to segment the small bowel, large bowel, and stomach in MRI images, using the UW-Madison GI tract dataset consisting of 38,496 scans. Encoders tested include ResNet50, EfficientNetB1, MobileNetV2, ResNext50, and Timm_Gernet_S, paired with decoders UNet, FPN, PSPNet, PAN, and DeepLab V3+. The study identifies ResNet50 with DeepLab V3+ as the most effective combination, assessed using the Dice coefficient, Jaccard index, and model loss. The proposed model, a combination of DeepLab V3+ and ResNet 50, obtained a Dice value of 0.9082, an IoU value of 0.8796, and a model loss of 0.117. The findings demonstrate the method's potential to improve radiation therapy for GI cancer, aiding radiation oncologists in accurately targeting tumors while avoiding healthy organs. The results of this study will assist healthcare professionals involved in biomedical image analysis.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939405/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Method Proposed for Analyzing Airflow Dynamics in Negative Pressure Isolation Chambers Using Particle Image Velocimetry.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-17 DOI: 10.3390/bioengineering12030302

Min Jae Oh, Jung Min Moon, Seung Cheol Ko, Min Ji Kim, Ki Sub Sung, Jung Woo Lee, Ju Young Hong, Joon Sang Lee, Yong Hyun Kim

{"title":"A New Method Proposed for Analyzing Airflow Dynamics in Negative Pressure Isolation Chambers Using Particle Image Velocimetry.","authors":"Min Jae Oh, Jung Min Moon, Seung Cheol Ko, Min Ji Kim, Ki Sub Sung, Jung Woo Lee, Ju Young Hong, Joon Sang Lee, Yong Hyun Kim","doi":"10.3390/bioengineering12030302","DOIUrl":"10.3390/bioengineering12030302","url":null,"abstract":"The COVID-19 pandemic has highlighted the significant infection risks posed by aerosol generating procedures (AGPs). We developed a hood that covers the patient's respiratory area, incorporating a negative pressure system to contain aerosols. This study analyzed the movement and containment of aerosols within a developed negative pressure isolation chamber. Using particle image velocimetry (PIV) technology, in the optimized design, the characteristics of aerosols were analyzed under both negative and non-negative pressure conditions. The results demonstrated that in the absence of negative pressure, droplets dispersed widely, with diffusion angles ranging from 26.9° to 34.2°, significantly increasing the risk of external leakage. When negative pressure was applied, the diffusion angles narrowed to 20.0-35.1° and inward airflow effectively directed droplets away from the chamber boundary, preventing external dispersion. Additionally, sensor data measuring particle concentrations confirmed that droplets smaller than 10 µm were fully contained under negative pressure, strongly supporting the chamber's effectiveness. The strong agreement between PIV flow patterns and sensor measurements underscores the reliability of the experimental methodology. These findings highlight the chamber's ability to suppress external leakage while offering superior flexibility and portability compared to conventional isolation systems, making it ideal for emergency responses, mobile healthcare units, and large-scale infectious disease outbreaks.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a Low-Cost and Easy-Assembly Capillary Electrophoresis System for Separation of DNA.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-17 DOI: 10.3390/bioengineering12030303

Jiawen Li, Shuaiqiang Fan, Jiandong Zhu, Bo Yang, Zhenqing Li, Dawei Zhang, Yoshinori Yamaguchi

{"title":"Development of a Low-Cost and Easy-Assembly Capillary Electrophoresis System for Separation of DNA.","authors":"Jiawen Li, Shuaiqiang Fan, Jiandong Zhu, Bo Yang, Zhenqing Li, Dawei Zhang, Yoshinori Yamaguchi","doi":"10.3390/bioengineering12030303","DOIUrl":"10.3390/bioengineering12030303","url":null,"abstract":"Capillary electrophoresis based on laser-induced fluorescence (CE-LIF) plays an important role in the analysis of nucleic acids. However, the commercial CE-LIF is not only quite expensive but also inflexible, thus hindering its widespread use in the lab. Herein, we proposed a compact, low-cost, and flexible CE-LIF system. We also investigated its stability by separating the DNA ladders. Experiments demonstrated that the relative standard error of the relative fluorescence intensity and migration time was lower than 6.2% and 1.1%, respectively. The aperture size of the light source illuminating the capillary can affect the separation performance. Smaller apertures offer higher resolution length for the adjacent DNA fragments but may reduce the number of theoretical plates. Various fluorescent dyes (e.g., SYBR Green I, Gel Green, EvaGreen) can be employed in the self-built system. The limit of detection of dsDNA was as low as 0.05 ng/μL. The working range for DNA was 0.05 ng/μL~10 ng/μL. Finally, we have successfully separated the PCR products of the target gene of Porphyromonas gingivalis and Candida albicans in the home-built CE system. Such a robust CE-LIF system is easy to assemble in the lab. The total cost of the assembled CE system did not exceed 1100 USD. We believe this work can advance the application of CE and hope it will facilitate the easy assembly of flexible CE instruments in labs.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939447/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introduction of a Semi-Quantitative Image-Based Analysis Tool for CBCT-Based Evaluation of Bone Regeneration in Tooth Extraction Sockets.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-16 DOI: 10.3390/bioengineering12030301

Anja Heselich, Pauline Neff, Joanna Śmieszek-Wilczewska, Robert Sader, Shahram Ghanaati

{"title":"Introduction of a Semi-Quantitative Image-Based Analysis Tool for CBCT-Based Evaluation of Bone Regeneration in Tooth Extraction Sockets.","authors":"Anja Heselich, Pauline Neff, Joanna Śmieszek-Wilczewska, Robert Sader, Shahram Ghanaati","doi":"10.3390/bioengineering12030301","DOIUrl":"10.3390/bioengineering12030301","url":null,"abstract":"After tooth extraction, resorptive changes in extraction sockets and the adjacent alveolar ridge can affect subsequent tooth replacement and implantation. Several surgical concepts, including the application of autologous blood concentrate platelet-rich fibrin (PRF), aim to reduce these changes. While PRF's wound-healing and pain-relieving effects are well-documented, its impact on bone regeneration is less clear due to varying PRF protocols and measurement methods for bone regeneration. This study aimed to develop a precise, easy-to-use non-invasive radiological evaluation method that examines the entire extraction socket to assess bone regeneration using CBCT data from clinical trials. The method, based on the freely available Image J-based software \"Fiji\", proved to be precise, reproducible, and transferable. As limitation remains the time requirement and its exclusive focus on radiological bone regeneration. Nevertheless, the method presented here is more precise than the ones currently described in the literature, as it evaluates the entire socket rather than partial areas. The application of the novel method to measure mineralized socket volume and radiological bone density of newly formed bone in a randomized, controlled clinical trial assessing solid PRF for socket preservation in premolar and molar sockets showed only slight, statistically non-significant trends toward better regeneration in the PRF group compared to natural healing.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939505/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Musculoskeletal Disorders and Diseases: Biomechanical Modeling in Sport, Health, Rehabilitation and Ergonomics.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-16 DOI: 10.3390/bioengineering12030300

Philippe Gorce

引用次数: 0

Use of Wearable Inertial Sensors to Assess Trunk and Cervical Postures Among Surgeons: Effect of Surgical Specialties and Roles.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-15 DOI: 10.3390/bioengineering12030299

Giulia Casu, Micaela Porta, Luigi Isaia Lecca, Alessandro Murru, Fabio Medas, Massimiliano Pau, Marcello Campagna

{"title":"Use of Wearable Inertial Sensors to Assess Trunk and Cervical Postures Among Surgeons: Effect of Surgical Specialties and Roles.","authors":"Giulia Casu, Micaela Porta, Luigi Isaia Lecca, Alessandro Murru, Fabio Medas, Massimiliano Pau, Marcello Campagna","doi":"10.3390/bioengineering12030299","DOIUrl":"10.3390/bioengineering12030299","url":null,"abstract":"This study aimed to quantitatively assess trunk and cervical non-neutral postures assumed by surgeons during the performance of routine open procedures. Indeed, musculoskeletal disorders are frequently reported by surgeons, especially at the head and neck level, due to the prolonged time spent in ergonomically challenging postures. Therefore, the posture of fourteen surgeons was monitored using wearable inertial sensors (and processed according to the ISO 11226 standard) by considering the effect of different surgical specialties (thyroid vs. breast) and roles (primary vs. assistants). Overall, surgeons spent most of their time in a standing posture, remaining within the acceptable limits of trunk flexion. More concerning results were observed analyzing the time spent in static head flexion and lateral bending (~72% and 48% of the time, respectively). Assistants, compared with primary surgeons, spent more than twice as much time in extreme neck flexion, although this was only when performing thyroid surgeries. The opposite was observed during breast surgeries. By spending most of their time in a standing posture with extreme forward neck flexion, surgeons are exposed to a high ergonomic risk, especially when frequently performing thyroid surgeries. The assumed role appeared to influence postural loading, with an effect that varies according to the surgical specialty.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939344/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biorecognition-Based Nanodiagnostics: Maltotriose-Functionalized Magnetic Nanoparticles for Targeted Magnetic Resonance Imaging of Bacterial Infections.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-15 DOI: 10.3390/bioengineering12030296

Junshan Wan, Chuqiang Yin, Xiaotong Chen, Keying Wu, Chonghui Zhang, Yu Zhou, Yugong Feng, Jing Chang, Ting Wang

{"title":"Biorecognition-Based Nanodiagnostics: Maltotriose-Functionalized Magnetic Nanoparticles for Targeted Magnetic Resonance Imaging of Bacterial Infections.","authors":"Junshan Wan, Chuqiang Yin, Xiaotong Chen, Keying Wu, Chonghui Zhang, Yu Zhou, Yugong Feng, Jing Chang, Ting Wang","doi":"10.3390/bioengineering12030296","DOIUrl":"10.3390/bioengineering12030296","url":null,"abstract":"Bacterial infections remain a global healthcare challenge, requiring precise diagnostic modalities to guide therapeutic interventions. Current molecular imaging agents predominantly detect nonspecific hemodynamic alterations and lack pathogen-specific targeting capabilities for magnetic resonance imaging (MRI). Leveraging the selective bacterial uptake of maltotriose via the maltodextrin transport pathway, we engineered maltotriose-functionalized magnetic nanoparticles (Malt-MNPs) as a novel MRI contrast agent. Basic physicochemical characterization confirmed the nanosystem's colloidal stability, biocompatibility, and superparamagnetism (saturation magnetization > 50 emu/g). In a rat bacterial infection model, intravenously administered Malt-MNPs selectively accumulated at infection sites, inducing a >50% MRI signal change within 24 h while exhibiting minimal off-target retention in sterile inflammatory lesions (<10% signal change). This specificity enabled clear MRI-based differentiation between bacterial infections and noninfectious inflammation. These findings provide a promising strategy for clinical translation in infection imaging and treatment.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939673/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Breaking Barriers in Thyroid Cytopathology: Harnessing Deep Learning for Accurate Diagnosis.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-14 DOI: 10.3390/bioengineering12030293

Seo Young Oh, Yong Moon Lee, Dong Joo Kang, Hyeong Ju Kwon, Sabyasachi Chakraborty, Jae Hyun Park

{"title":"Breaking Barriers in Thyroid Cytopathology: Harnessing Deep Learning for Accurate Diagnosis.","authors":"Seo Young Oh, Yong Moon Lee, Dong Joo Kang, Hyeong Ju Kwon, Sabyasachi Chakraborty, Jae Hyun Park","doi":"10.3390/bioengineering12030293","DOIUrl":"10.3390/bioengineering12030293","url":null,"abstract":"Background: We address the application of artificial intelligence (AI) techniques in thyroid cytopathology, specifically for diagnosing papillary thyroid carcinoma (PTC), the most common type of thyroid cancer.Methods: Our research introduces deep learning frameworks that analyze cytological images from fine-needle aspiration cytology (FNAC), a key preoperative diagnostic method for PTC. The first framework is a patch-level classifier referred as \"TCS-CNN\", based on a convolutional neural network (CNN) architecture, to predict thyroid cancer based on the Bethesda System (TBS) category. The second framework is an attention-based deep multiple instance learning (AD-MIL) model, which employs a feature extractor using TCS-CNN and an attention mechanism to aggregate features from smaller-patch-level regions into predictions for larger-patch-level regions, referred to as bag-level predictions in this context.Results: The proposed TCS-CNN framework achieves an accuracy of 97% and a recall of 96% for small-patch-level classification, accurately capturing local malignancy information. Additionally, the AD-MIL framework also achieves approximately 96% accuracy and recall, demonstrating that this framework can maintain comparable performance while expanding the diagnostic coverage to larger regions through patch aggregation.Conclusions: This study provides a feasibility analysis for thyroid cytopathology classification and visual interpretability for AI diagnosis, suggesting potential improvements in patient outcomes and reductions in healthcare costs.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939565/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Does the Fatigue Induced by a 30-Minute Run Affect the Lower Limb Acceleration Spikes' Asymmetries?

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-14 DOI: 10.3390/bioengineering12030294

Gabriel Delgado-García, Isabel M Martín-López, Fulgencio Soto-Méndez, Arturo Quílez-Maimón, Salvador Boned-Gómez

{"title":"Does the Fatigue Induced by a 30-Minute Run Affect the Lower Limb Acceleration Spikes' Asymmetries?","authors":"Gabriel Delgado-García, Isabel M Martín-López, Fulgencio Soto-Méndez, Arturo Quílez-Maimón, Salvador Boned-Gómez","doi":"10.3390/bioengineering12030294","DOIUrl":"10.3390/bioengineering12030294","url":null,"abstract":"Running-induced fatigue affects several biomechanical parameters, and yet few studies are focused on the acceleration spikes' asymmetries. This study aimed to evaluate the effects of a 30 min run on lower limbs spikes' asymmetries. Eighteen recreational runners (35.6 ± 7.5 years; seven women) performed a treadmill running protocol at a moderate speed and acceleration spikes' asymmetries and kinematic (temporal) parameters were measured via accelerometers-on the tibias and sacrum-and photogrammetry. Acceleration spikes' parameters were continuously measured and averaged per minute to assess the relationship between fatigue and acceleration spike asymmetries via a linear regression model. Right tibial acceleration spikes increased over time (r = 0.9; p < 0.001) and left tibia spikes decreased (r = 0.78; p < 0.001), with a rise in tibial load asymmetry from 9% to 25% at the end (r = 0.98; p < 0.001). This study suggest that fatigue affects the acceleration spikes of the two legs differently, with increasingly greater acceleration spikes in the right (dominant) leg. These findings should be considered, as greater asymmetries are related to overuse injuries and lower efficiency. Also, in studies focusing on running mechanics with fatigue, it is recommended that researchers collect data from both limbs, and not only from the right (dominant) leg.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module.

IF 3.8 3区医学

Bioengineering Pub Date : 2025-03-14 DOI: 10.3390/bioengineering12030290

Mingzhe Li, Zhaoming He, Hao Wang

{"title":"Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module.","authors":"Mingzhe Li, Zhaoming He, Hao Wang","doi":"10.3390/bioengineering12030290","DOIUrl":"10.3390/bioengineering12030290","url":null,"abstract":"Intelligent heart sound diagnosis based on Convolutional Neural Networks (CNN) has been attracting increasing attention due to its accuracy and efficiency, which have been improved by recent studies. However, the performance of CNN models, heavily influenced by their parameters and structures, still has room for improvement. In this paper, we propose a heart sound classification model named CAFusionNet, which fuses features from different layers with varying resolution ratios and receptive field sizes. Key features related to heart valve diseases are weighted by a channel attention block at each layer. To address the issue of limited dataset size, we apply a homogeneous transfer learning approach. CAFusionNet outperforms existing models on a dataset comprising public data combined with our proprietary dataset, achieving an accuracy of 0.9323. Compared to traditional deep learning methods, the transfer learning algorithm achieves an accuracy of 0.9665 in the triple classification task. Output data and visualized heat maps highlight the significance of feature fusion from different layers. The proposed methods significantly enhanced the performance of heart sound classification and demonstrated the importance of feature fusion, as interpreted through visualized heat maps.","PeriodicalId":8874,"journal":{"name":"Bioengineering","volume":"12 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939499/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0