Noninvasive temporal detection of early retinal vascular changes during diabetes

Diabetes associated complications, including diabetic retinopathy and loss of vision, are major health concerns. Detecting early retinal vascular changes during diabetes is not well documented, and only few studies have addressed this domain. The purpose of this study was to noninvasively evaluate temporal changes in retinal vasculature at very early stages of diabetes using fundus images from preclinical models of diabetes.Non-diabetic and Akita/+ male mice with different duration of diabetes were subjected to fundus imaging using a Micron III imaging system. The images were obtained from 4 weeks- (onset of diabetes), 8 weeks-, 16 weeks-, and 24 weeks-old male Akita/+ and non-diabetic mice. In total 104 fundus images were subjected to analysis for various feature extractions. A combination of Canny Edge Detector and Angiogenesis Analyzer plug-ins in ImageJ were utilized to quantify various retinal vascular changes in fundus images. Statistical analyses were conducted to determine significant differences in the various extracted features from fundus images of diabetic and non-diabetic animals. Our novel image analysis method led to extraction of over 20 features. These results indicated that some of these features were significantly changed with a short duration of diabetes, and others remained the same but changed after longer duration of diabetes. These patterns likely distinguish acute (protective) and chronic (damaging) associated changes with diabetes. We show that with a combination of various plugging one can extract over 20 features from retinal vasculature fundus images. These features change during diabetes, thus allowing the quantification of quality of retinal vascular architecture as biomarkers for disease progression. In addition, our method was able to identify unique differences among diabetic mice with different duration of diabetes. The ability to noninvasively detect temporal retinal vascular changes during diabetes could lead to identification of specific markers important in the development and progression of diabetes mediated-microvascular changes, evaluation of therapeutic interventions, and eventual reversal of these changes in order to stop or delay disease progression

Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis

The purpose of this study is twofold: first, to establish the current themes on the topic of manufacturing and supply chain flexibility (MSCF), assess their level of maturity in relation to each other, identify the emerging ones and reflect on how they can inform each other, and second, to develop a conceptual model of MSCF that links different themes connect and highlight future research opportunities. The study builds on a sample of 222 articles published from 1996 to 2018 in international, peer-reviewed journals. The analysis of the sample involves two complementary approaches: the co-word technique to identify the thematic clusters as well as their relative standing and a critical reflection on the papers to explain the intellectual content of these thematic clusters. The results of the co-word analysis show that MSCF is a dynamic topic with a rich and complex structure that comprises five thematic clusters. The value chain, capability and volatility clusters showed research topics that were taking a central role in the discussion on MSCF but were not mature yet. The SC purchasing practices and SC planning clusters involved work that was more focused and could be considered more mature. These clusters were then integrated in a framework that built on the competence–capability perspective and identified the major structural and infrastructural elements of MSCF as well as its antecedents and consequences. This paper proposes an integrative framework helping managers keep track the various decisions they need to make to increase flexibility from the viewpoint of the entire value chain

A new reliable alternate method to an intraoral scanner (in-vitro study)

Objective: To propose a method to develop 3-dimensional (3D) models of regular and orthodontic typodonts by using their 2-dimensional (2D) images, as an alternate method to 3D scanners. Materials and methods: To propose a method to develop 3-dimensional (3D) models of regular and orthodontic typodonts by using their 2-dimensional (2D) images, as an alternate method to 3D scanners. Matierals and methods: The mandibles of two typodonts, regular occlusion and malocclusion, were scanned by using a 3D scanner to generate their models. Captured scans were used to determine the accuracy of the existing method. One hundred images of each mandible were made by using a smartphone from various angles five times to create required and generate 3D models through the software. The percentage overlap of the hard tissues of the scans and the models superimposed within the group (repeatability test), and with each other (accuracy test) gathered the proposed method\u27s accuracy and precision. The data were analyzed by using the Student\u27s t-test. Results: Ten scans and ten models were overlapped among themselves and each other and evaluated. Repeatability test; significant overlap in scans for both mandibles (regular and maloccluded), and their 3D model\u27s counterparts (P \u3c 0.05, CI 95%). Accuracy tests; significant overlap between both methods for both mandibles (P \u3c 0.05, CI 95%). Conclusion: The 2D images were successfully used to model the teeth (both regular and maloccluded) non-invasively. The proposed method showed high reproducibility as well as accuracy when compared to a commercially available 3D scanner. Clinical significance: The 3D models for both regular teeth and teeth with malocclusions were modeled by using 2D images taken with a smartphone by using the novel method which was both reproducible and accurate

Noninvasive temporal detection of early retinal vascular changes during diabetes

Diabetes associated complications, including diabetic retinopathy and loss of vision, are major health concerns. Detecting early retinal vascular changes during diabetes is not well documented, and only few studies have addressed this domain. The purpose of this study was to noninvasively evaluate temporal changes in retinal vasculature at very early stages of diabetes using fundus images from preclinical models of diabetes.Non-diabetic and Akita/+ male mice with different duration of diabetes were subjected to fundus imaging using a Micron III imaging system. The images were obtained from 4 weeks- (onset of diabetes), 8 weeks-, 16 weeks-, and 24 weeks-old male Akita/+ and non-diabetic mice. In total 104 fundus images were subjected to analysis for various feature extractions. A combination of Canny Edge Detector and Angiogenesis Analyzer plug-ins in ImageJ were utilized to quantify various retinal vascular changes in fundus images. Statistical analyses were conducted to determine significant differences in the various extracted features from fundus images of diabetic and non-diabetic animals. Our novel image analysis method led to extraction of over 20 features. These results indicated that some of these features were significantly changed with a short duration of diabetes, and others remained the same but changed after longer duration of diabetes. These patterns likely distinguish acute (protective) and chronic (damaging) associated changes with diabetes. We show that with a combination of various plugging one can extract over 20 features from retinal vasculature fundus images. These features change during diabetes, thus allowing the quantification of quality of retinal vascular architecture as biomarkers for disease progression. In addition, our method was able to identify unique differences among diabetic mice with different duration of diabetes. The ability to noninvasively detect temporal retinal vascular changes during diabetes could lead to identification of specific markers important in the development and progression of diabetes mediated-microvascular changes, evaluation of therapeutic interventions, and eventual reversal of these changes in order to stop or delay disease progression

C.E. Credit. Innovating Dental Education with Artificial Intelligence

ABSTRACTInnovation is at the heart of dental education, dental practice, and optimal oral health care delivery. This paper explores the opportunities and challenges of incorporating artificial intelligence (AI) in dental education. Although the scientific reporting of AI-related research in dental education is limited, the application of AI in academia and dentistry has far-reaching implications in complementing human tasks such as radiological examinations, clinical diagnoses, anatomy training, orthodontics, and prosthodontics education. Moreover, AI has the potential to assess students’ comprehension based on automated facial recognition. Sooner or later AI will change most methods of communication, which will necessitate dental schools to prepare the next generation of students to learn about these powerful tools. Its adoption has great potential for enhancing educational experiences and healthcare as well as paving the way for preparing future dentists to apply AI techniques in clinical practice. The dental community needs to implement recommended guidelines to effectively digitalize dental education with AI technologies.Continuing Education Credit Available: The practice worksheet is available online in the supplemental material tab for this article. A CDA Continuing Education quiz is online for this article: https://www.cdapresents360.com/learn/catalog/view/20

Bim Expression Modulates Branching Morphogenesis of the Epithelium and Endothelium

Branching morphogenesis is a key developmental process during organogenesis, such that its disruption frequently leads to long-term consequences. The kidney and eye share many etiologies, perhaps, due to similar use of developmental branching morphogenesis and signaling pathways including cell death. Tipping the apoptotic balance towards apoptosis imparts a ureteric bud and retinal vascular branching phenotype similar to one that occurs in papillorenal syndrome. Here, to compare ureteric bud and retinal vascular branching in the context of decreased apoptosis, we investigated the impact of Bim, Bcl-2’s rival force. In the metanephros, lack of Bim expression enhanced ureteric bud branching with increases in ureteric bud length, branch points, and branch end points. Unfortunately, enhanced ureteric bud branching also came with increased branching defects and other undesirable consequences. Although we did see increased nephron number and renal mass, we observed glomeruli collapse. Retinal vascular branching in the absence of Bim expression had similarities with the ureteric bud including increased vascular length, branching length, segment length, and branching interval. Thus, our studies emphasize the impact appropriate Bim expression has on the overall length and branching in both the ureteric bud and retinal vasculature