BIO Integration最新文献

{"title":"Scale-aware Auto-context-guided Fetal US Segmentation with Structured Random Forests","authors":"Xin Yang, Haoming Li, Li Liu, Dong Ni","doi":"10.15212/bioi-2020-0016","DOIUrl":"https://doi.org/10.15212/bioi-2020-0016","url":null,"abstract":"Abstract Accurate measurement of fetal biometrics in ultrasound at different trimesters is essential in assisting clinicians to conduct pregnancy diagnosis. However, the accuracy of manual segmentation for measurement is highly user-dependent. Here, we design a general framework\u0000 for automatically segmenting fetal anatomical structures in two-dimensional (2D) ultrasound (US) images and thus make objective biometric measurements available. We first introduce structured random forests (SRFs) as the core discriminative predictor to recognize the region of fetal anatomical\u0000 structures with a primary classification map. The patch-wise joint labeling presented by SRFs has inherent advantages in identifying an ambiguous/fuzzy boundary and reconstructing incomplete anatomical boundary in US. Then, to get a more accurate and smooth classification map, a scale-aware\u0000 auto-context model is injected to enhance the contour details of the classification map from various visual levels. Final segmentation can be obtained from the converged classification map with thresholding. Our framework is validated on two important biometric measurements, which are fetal\u0000 head circumference (HC) and abdominal circumference (AC). The final results illustrate that our proposed method outperforms state-of-the-art methods in terms of segmentation accuracy.","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125341483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Roles for Clinicians in the Age of Artificial Intelligence","authors":"Fengyi Zeng, Xiaowen Liang, Zhiyi Chen","doi":"10.15212/bioi-2020-0014","DOIUrl":"https://doi.org/10.15212/bioi-2020-0014","url":null,"abstract":"Abstract With the rapid developments of digital picture processing, pattern recognition, and intelligent algorithms, artificial intelligence (AI) has been widely applied in the medical field. The applications of artificial intelligence in medicine (AIM) include diagnosis\u0000 generation, therapy selection, healthcare management, disease stratification, etc. Among the applications, the focuses of AIM are assisting clinicians in implementing disease detection, quantitative measurement, and differential diagnosis to improve diagnostic accuracy and optimize treatment\u0000 selection. Thus, researchers focus on creating and refining modeling processes, including the processes of data collection, data preprocessing, and data partitioning as well as how models are configured, evaluated, optimized, clinically applied, and used for training. However, there is little\u0000 research on the consideration of clinicians in the age of AI. Meanwhile, AI is more accurate and spends less time in diagnosis between the competitions of AI and clinicians in some cases. Thus, AIM is gradually becoming a hot topic. Barely a day goes by without a claim that AI techniques are\u0000 poised to replace most of today’s professionals. Despite huge promise surrounding this technology, AI alone cannot support all the requirements for precision medicine, rather AI should be used in cohesive collaboration with clinicians. However, the integration of AIM has created confusion\u0000 among clinicians on their role in this era. Therefore, it is necessary to explore new roles for clinicians in the age of AI.Statement of significanceWith the advent of the era of AI, the integration of medical field and AI is on the rise. Medicine has undergone significant changes,\u0000 and what was previously labor-intensive work is now being solved through intelligent means. This change has also raised concerns among scholars: Will doctors eventually be replaced by AI? From this perspective, this study elaborates on the reasons why AI cannot replace doctors, and points\u0000 out how doctors should change their roles to accelerate the integration of these fields, so as to adapt to the developing times.","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123308253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated Stage Discrimination of Parkinson’s Disease","authors":"V. Aharonson, Nabeel Seedat, S. Israeli-korn, S. Hassin-Baer, M. Postema, G. Yahalom","doi":"10.15212/bioi-2020-0006","DOIUrl":"https://doi.org/10.15212/bioi-2020-0006","url":null,"abstract":"Abstract Background: Treatment plans for Parkinson’s disease (PD) are based on a disease stage scale, which is generally determined using a manual, observational procedure. Automated, sensor-based discrimination saves labor and costs in clinical settings and\u0000 may offer augmented stage determination accuracy. Previous automated devices were either cumbersome or costly and were not suitable for individuals who cannot walk without support.Methods: Since 2017, a device has been available that successfully detects PD and operates for people\u0000 who cannot walk without support. In the present study, the suitability of this device for automated discrimination of PD stages was tested. The device consists of a walking frame fitted with sensors to simultaneously support walking and monitor patient gait. Sixty-five PD patients in Hoehn\u0000 and Yahr (HY) stages 1 to 4 and 24 healthy controls were subjected to supported Timed Up and Go (TUG) tests, while using the walking frame. The walking trajectory, velocity, acceleration and force were recorded by the device throughout the tests. These physical parameters were converted into\u0000 symptomatic spatiotemporal quantities that are conventionally used in PD gait assessment.Results: An analysis of variance (ANOVA) test extended by a confidence interval (CI) analysis indicated statistically significant separability between HY stages for the following spatiotemporal\u0000 quantities: TUG time (p < 0.001), straight line walking time (p < 0.001), turning time (p < 0.001), and step count (p < 0.001). A negative correlation was obtained for mean step velocity (p < 0.001) and mean step length (p < 0.001). Moreover, correlations were established\u0000 between these, as well as additional spatiotemporal quantities, and disease duration, L-dihydroxyphenylalanine-(L-DOPA) dose, motor fluctuation, dyskinesia and the mobile part of the Unified Parkinson Disease Rating Scale (UPDRS).Conclusions: We have proven that stage discrimination\u0000 of PD can be automated, even to patients who cannot support themselves. A similar method might be successfully applied to other gait disorders.","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"16 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132832955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioactive Factors-imprinted Scaffold Vehicles for Promoting Bone Healing: The Potential Strategies and the Confronted Challenges for Clinical Production","authors":"Pengpeng Xue, J. Yuan, Qing Yao, Ying-zheng Zhao, Helin Xu","doi":"10.15212/bioi-2020-0010","DOIUrl":"https://doi.org/10.15212/bioi-2020-0010","url":null,"abstract":"Abstract Wound repair of bone is a complicated multistep process orchestrated by inflammation, angiogenesis, callus formation, and bone remodeling. Many bioactive factors (BFs) including cytokine and growth factors (GFs) have previously been reported to be involved in regulating\u0000 wound healing of bone and some exogenous BFs such as bone morphogenetic proteins (BMPs) were proven to be helpful for improving bone healing. In this regard, the BFs reported for boosting bone repair were initially categorized according to their regulatory mechanisms. Thereafter, the challenges\u0000 including short half-life, poor stability, and rapid enzyme degradation and deactivation for these exogenous BFs in bone healing are carefully outlined in this review. For these issues, BFs-imprinted scaffold vehicles have recently been reported to promote the stability of BFs and enhance\u0000 their half-life in vivo. This review is focused on the incorporation of BFs into the modulated biomaterials with various forms of bone tissue engineering applications: firstly, rigid bone graft substitutes (BGSs) were used to imprint BFs for large scale bone defect repair; secondly,\u0000 the soft sponge-like scaffold carrying BFs is discussed as filling materials for the cavity of bone defects; thirdly, various injectable vehicles including hydrogel, nanoparticles, and microspheres for the delivery of BFs were also introduced for irregular bone fracture repair. Meanwhile,\u0000 the challenges for BFs-imprinted scaffold vehicles are also analyzed in this review.","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133767637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Significance of Interdisciplinary Integration in Academic Research and Application","authors":"P. Saw, Shanping Jiang","doi":"10.15212/bioi-2020-0005","DOIUrl":"https://doi.org/10.15212/bioi-2020-0005","url":null,"abstract":"In the light of the rapid development of science and technology, the lingering question is – what does academia lack? The answer may be “effective integration”. Scientific problems are complicated and often interdisciplinary, which implies that in-depth collaboration among experts in various fields is vital. Interdisciplinary research is the essence of social development, innovation and gaining a broader perspective in problem solving. The mission of interdisciplinary integration is to break down barriers, reorient insights, and to produce significant breakthroughs in academic research.","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126642619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanobiohybrids: A Synergistic Integration of Bacteria and Nanomaterials in Cancer Therapy","authors":"Yuhao Chen, Meng Du, Jinsui Yu, L. Rao, Xiaoyuan Chen, Zhiyi Chen","doi":"10.15212/bioi-2020-0008","DOIUrl":"https://doi.org/10.15212/bioi-2020-0008","url":null,"abstract":"Abstract Cancer is a common cause of mortality in the world. For cancer treatment modalities such as chemotherapy, photothermal therapy and immunotherapy, the concentration of therapeutic agents in tumor tissue is the key factor which determines therapeutic efficiency. In\u0000 view of this, developing targeted drug delivery systems are of great significance in selectively delivering drugs to tumor regions. Various types of nanomaterials have been widely used as drug carriers. However, the low tumor-targeting ability of nanomaterials limits their clinical application.\u0000 It is difficult for nanomaterials to penetrate the tumor tissue through passive diffusion due to the elevated tumoral interstitial fluid pressure. As a biological carrier, bacteria can specifically colonize and proliferate inside tumors and inhibit tumor growth, making it an ideal candidate\u0000 as delivery vehicles. In addition, synthetic biology techniques have been applied to enable bacteria to controllably express various functional proteins and achieve targeted delivery of therapeutic agents. Nanobiohybrids constructed by the combination of bacteria and nanomaterials have an\u0000 abundance of advantages, including tumor targeting ability, genetic modifiability, programmed product synthesis, and multimodal therapy. Nowadays, many different types of bacteria-based nanobiohybrids have been used in multiple targeted tumor therapies. In this review, firstly we summarized\u0000 the development of nanomaterial-mediated cancer therapy. The mechanism and advantages of the bacteria in tumor therapy are described. Especially, we will focus on introducing different therapeutic strategies of nanobiohybrid systems which combine bacteria with nanomaterials in cancer therapy.\u0000 It is demonstrated that the bacteria-based nanobiohybrids have the potential to provide a targeted and effective approach for cancer treatment.","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122731891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Section Discrepancy and Diagnostic Performance of Breast Lesions in Two-dimensional Ultrasound by Dynamic Videos versus Static Images","authors":"Dinghong Yang, Xiaoyun Xiao, Haohu Wang, Huan Wu, W. Qin, Xiaofeng Guan, Q. Jiang, B. Luo","doi":"10.15212/bioi-2021-0021","DOIUrl":"https://doi.org/10.15212/bioi-2021-0021","url":null,"abstract":"\u0000 Background: Benign or malignant breast lesions with typical ultrasonic characteristics could be easily and correctly diagnosed with two-dimensional ultrasound (2D US). However, diagnosis of atypical lesions remains a challenge. Most atypical lesions have different ultrasonographic features with probe direction variation. Thus, the interpretation of ultrasonographic features based on static images empirically collected by sonographers might be inaccurate. We aimed to investigate the section discrepancy and diagnostic performance of breast lesions in 2D US by dynamic videos versus static images.Methods: Static images and dynamic videos based on two perpendicular planes of 468 breast lesions were collected and evaluated. The Breast Imaging and Reporting Data System (BI-RADS®) US lexicon was used. Category 3 was used as the cut-off point, and section discrepancy was defined as two perpendicular planes showing different BI-RADS categories (3 versus 4A, 4B, 4C, and 5).Results: This retrospective study included 315 benign and 153 malignant lesions. There were 53 and 50 lesions with section discrepancy during static and dynamic observations, respectively. The proportion of benign lesions with section discrepancy was significantly higher than that of malignant lesions (P < 0.05) either in dynamic or static observation, and the contingency coefficient was 0.2 between section discrepancy and histopathology. Duct changes were more clearly depicted in dynamic videos than in static images (P < 0.05) both in malignant and benign lesions. Calcification and architectural distortion were more sensitively detected by dynamic videos than with static images (P < 0.05) in malignant lesions. The interpretation of “margin” significantly differed in benign lesions between static images and dynamic videos (P < 0.05). The areas under the curve of static image-horizontal, static image-sagittal, dynamic video-horizontal, and dynamic video-sagittal were 0.807, 0.820, 0.837, and 0.846, respectively. The specificities of dynamic videos were higher than those of static images (P < 0.05).Conclusion: Breast lesions have section discrepancy in 2D US. Observations based on dynamic videos could more accurately reflect lesion features and increase the specificity of US in the differentiation of atypical breast lesions.\u0000","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122518239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progress in the Application of Nano- and Micro-based Drug Delivery Systems in Pulmonary Drug Delivery","authors":"Rejoice Thubelihle Ndebele, Qing Yao, Yannan Shi, Yuan-Yuan Zhai, Helin Xu, Cui-tao Lu, Ying-zheng Zhao","doi":"10.15212/bioi-2021-0028","DOIUrl":"https://doi.org/10.15212/bioi-2021-0028","url":null,"abstract":"\u0000 Nanotechnology is associated with the development of particles in the nano-size range that can be used in a wide range of applications in the medical field. It has gained more importance in the pharmaceutical research field particularly in drug delivery, as it results in enhanced therapeutic drug performance, improved drug solubility, targeted drug delivery to the specific sites, minimized side effects, and prolonged drug retention time in the targeted site. To date, the application of nanotechnology continues to offer several benefits in the treatment of various chronic diseases and results in remarkable improvements in treatment outcomes. The use of nano-based delivery systems such as liposomes, micelles, and nanoparticles in pulmonary drug delivery have shown to be a promising strategy in achieving drug deposition and maintained controlled drug release in the lungs. They have been widely used to minimize the risks of drug toxicity in vivo. In this review, recent advances in the application of nano- and micro-based delivery systems in pulmonary drug delivery for the treatment of various pulmonary diseases, such as lung cancer, asthma, and chronic obstructive pulmonary disease, are highlighted. Limitations in the application of these drug delivery systems and some key strategies in improving their formulation properties to overcome challenges encountered in drug delivery are also discussed.\u0000","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129599319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration Analysis of m6A Regulators and m6A-Related Genes in Hepatocellular Carcinoma","authors":"Jingdun Xie, Zhenhua Qi, Xiaoling Luo, Fang Yan, W. Xing, W. Zeng, Dongtai Chen, Qiang Li","doi":"10.15212/BIOI-2021-0002","DOIUrl":"https://doi.org/10.15212/BIOI-2021-0002","url":null,"abstract":"\u0000 Background: N6-Methyladenosine (m6A) RNA methylation of eukaryotic mRNA is involved in the progression of various tumors. We aimed to investigate m6A-related genes and m6A regulators in hepatocellular carcinoma (HCC) and their association with prognosis in HCC.Methods: We downloaded liver cancer sample data from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium database. A total of 21 m6A regulators and 1258 m6A-related genes were then analyzed by consensus clustering, Spearman’s correlation, GO, KEGG, LASSO Cox regression, and univariate Cox regression analyses. Finally, we constructed a risk prognostic model.Results: We obtained 192 candidate m6A-related genes and 3 m6A regulators, including YTHDF1, YTHDF2, and YTHDC1. The expression of these genes and regulators differed significantly in different stages of HCC. Based on Cox regression analysis, 19 of 98 m6A-related prognostic genes were obtained to construct a risk score model. The 1- and 3-year area under the curves (AUCs) among HCC patients were greater than 0.7. Finally, based on analysis of mutation differences between high- and low-risk score groups, we determined that TP53 had the highest mutation frequency in the high-risk HCC patient group, whereas titin (TTN) had the highest mutation frequency in the low-risk HCC patient group.Conclusion: This study comprehensively analyzed m6A regulators and m6A-related genes through an integrated bioinformatic analysis, including expression, clustering, protein–protein interaction, and prognosis, thus providing novel insights into the roles of m6A regulators and m6A-related genes in HCC.\u0000","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128766850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Innovative Integrative Method for Bladder Cancer Diagnosis","authors":"H. Liu","doi":"10.15212/BIOI-2020-0044","DOIUrl":"https://doi.org/10.15212/BIOI-2020-0044","url":null,"abstract":"<jats:p>\u0000 \u0000 </jats:p>","PeriodicalId":431549,"journal":{"name":"BIO Integration","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}