Retinal boundary segmentation in stargardt disease optical coherence tomography images using automated deep learning

Purpose: To use a deep learning model to develop a fully automated method (fully semantic network and graph search [FS-GS]) of retinal segmentation for optical coherence tomography (OCT) images from patients with Stargardt disease. Methods: Eighty-seven manually segmented (ground truth) OCT volume scan sets (5171 B-scans) from 22 patients with Stargardt disease were used for training, validation and testing of a novel retinal boundary detection approach (FS-GS) that combines a fully semantic deep learning segmentation method, which generates a per-pixel class prediction map with a graph-search method to extract retinal boundary positions. The performance was evaluated using the mean absolute boundary error and the differences in two clinical metrics (retinal thickness and volume) compared with the ground truth. The performance of a separate deep learning method and two publicly available software algorithms were also evaluated against the ground truth. Results: FS-GS showed an excellent agreement with the ground truth, with a boundary mean absolute error of 0.23 and 1.12 pixels for the internal limiting membrane and the base of retinal pigment epithelium or Bruch's membrane, respectively. The mean difference in thickness and volume across the central 6 mm zone were 2.10 µm and 0.059 mm3. The performance of the proposed method was more accurate and consistent than the publicly available OCTExplorer and AURA tools. Conclusions: The FS-GS method delivers good performance in segmentation of OCT images of pathologic retina in Stargardt disease. Translational Relevance: Deep learning models can provide a robust method for retinal segmentation and support a high-throughput analysis pipeline for measuring retinal thickness and volume in Stargardt disease

TELEX HEBDOMADAIRE NR 186 DU 12 OCTOBRE 1984 ADRESSE A L'ENSEMBLE DES DELEGATIONS EXTERIEURES ET BUREAUX DE PRESS ET D'INFORMATION INDEPENDANTS DANS LES PAYS TIERS = WEEKLY MEMO NO. 186 ON OCTOBER 12, 1984 TO FOREIGN DELEGATIONS AND PRESS BUREAUS OF THIRD COUNTRIES

Inhibitory activities against BoNT/A LC and holotoxin in proteolytic and cell-based assay for all tested compounds; fluorescence and UV–vis spectra for determination of 16 binding to HSA and AGP; ligand interaction diagrams, docking scores, and docking–in vitro inhibitory activity correlations; spectral and analytical data for all synthesized compounds; detailed procedures for the determination of the HPLC purity.Supporting information I for: Konstantinović, J. M., Kiris, E., Kota, K. P., Kugelman-Tonos, J., Videnović, M., Cazares, L. H., Terzić-Jovanović, N., Verbić, T., Anđelković, B. D., Duplantier, A. J., Bavari, S.,& Šolaja, B. (2018). New Steroidal 4-Aminoquinolines Antagonize Botulinum Neurotoxin Serotype A in Mouse Embryonic Stem Cell Derived Motor Neurons in Postintoxication Model. Journal of Medicinal Chemistry, American Chemical Society (ACS)., 61(4), 1595-1608. [https://doi.org/10.1021/acs.jmedchem.7b01710]The published version of the article: [https://cer.ihtm.bg.ac.rs/handle/123456789/2325]The peer-reviewed version of the article: [http://cer.ihtm.bg.ac.rs/handle/123456789/2935]Additional supporting information (NMR spectra and HPLC purity spectra of all tested compounds): [https://cer.ihtm.bg.ac.rs/handle/123456789/4516]Molecular formula strings and additional data: [https://cer.ihtm.bg.ac.rs/handle/123456789/4517

Supporting Information II for: "New Steroidal 4-Aminoquinolines Antagonize Botulinum Neurotoxin Serotype A in Mouse Embryonic Stem Cell Derived Motor Neurons in Postintoxication Model"

NMR spectra and HPLC purity spectra of all tested compoundsSupporting information II for: Konstantinović, J. M., Kiris, E., Kota, K. P., Kugelman-Tonos, J., Videnović, M., Cazares, L. H., Terzić-Jovanović, N., Verbić, T., Anđelković, B. D., Duplantier, A. J., Bavari, S.,& Šolaja, B. (2018). New Steroidal 4-Aminoquinolines Antagonize Botulinum Neurotoxin Serotype A in Mouse Embryonic Stem Cell Derived Motor Neurons in Postintoxication Model. Journal of Medicinal Chemistry, American Chemical Society (ACS)., 61(4), 1595-1608. [https://doi.org/10.1021/acs.jmedchem.7b01710]The published version of the article: [https://cer.ihtm.bg.ac.rs/handle/123456789/2325]The peer-reviewed version of the article: [http://cer.ihtm.bg.ac.rs/handle/123456789/2935]Additional supporting information: [https://cer.ihtm.bg.ac.rs/handle/123456789/4515]Molecular formula strings and additional data: [https://cer.ihtm.bg.ac.rs/handle/123456789/4517

Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak

Genetic analyses have provided important insights into Ebola virus spread during the recent West African outbreak, but their implications for specific intervention scenarios remain unclear. Here, we address this issue using a collection of phylodynamic approaches. We show that long-distance dispersal events were not crucial for epidemic expansion and that preventing viral lineage movement to any given administrative area would, in most cases, have had little impact. However, major urban areas were critical in attracting and disseminating the virus: preventing viral lineage movement to all three capitals simultaneously would have contained epidemic size to one-third. We also show that announcements of border closures were followed by a significant but transient effect on international virus dispersal. By quantifying the hypothetical impact of different intervention strategies, as well as the impact of barriers on dispersal frequency, our study illustrates how phylodynamic analyses can help to address specific epidemiological and outbreak control questions.info:eu-repo/semantics/publishe

Nomenclature- and Database-Compatible Names for the Two Ebola Virus Variants that Emerged in Guinea and the Democratic Republic of the Congo in 2014

In 2014, Ebola virus (EBOV) was identified as the etiological agent of a large and still expanding outbreak of Ebola virus disease (EVD) in West Africa and a much more confined EVD outbreak in Middle Africa. Epidemiological and evolutionary analyses confirmed that all cases of both outbreaks are connected to a single introduction each of EBOV into human populations and that both outbreaks are not directly connected. Coding-complete genomic sequence analyses of isolates revealed that the two outbreaks were caused by two novel EBOV variants, and initial clinical observations suggest that neither of them should be considered strains. Here we present consensus decisions on naming for both variants (West Africa: “Makona”, Middle Africa: “Lomela”) and provide database-compatible full, shortened, and abbreviated names that are in line with recently established filovirus sub-species nomenclatures

Evolution and Spread of Ebola Virus in Liberia, 2014–2015

The 2013–present Western African Ebola virus disease (EVD) outbreak is the largest ever recorded with >28,000 reported cases. Ebola virus (EBOV) genome sequencing has played an important role throughout this outbreak; however, relatively few sequences have been determined from patients in Liberia, the second worst-affected country. Here, we report 140 EBOV genome sequences from the second wave of the Liberian outbreak and analyze them in combination with 782 previously published sequences from throughout the Western African outbreak. While multiple early introductions of EBOV to Liberia are evident, the majority of Liberian EVD cases are consistent with a single introduction, followed by spread and diversification within the country. Movement of the virus within Liberia was widespread and reintroductions from Liberia served as an important source for the continuation of the already ongoing EVD outbreak in Guinea. Overall, little evidence was found for incremental adaptation of EBOV to the human host.Organismic and Evolutionary Biolog

Trends in Outcomes for Neonates Born Very Preterm and Very Low Birth Weight in 11 High-Income Countries

Objective To evaluate outcome trends of neonates born very preterm in 11 high-income countries participating in the International Network for Evaluating Outcomes of neonates. Study design In a retrospective cohort study, we included 154 233 neonates admitted to 529 neonatal units between January 1, 2007, and December 31, 2015, at 24(0/7) to 31(6/7) weeks of gestational age and birth weight <1500 g. Composite outcomes were in-hospital mortality or any of severe neurologic injury, treated retinopathy of prematurity, and bronchopulmonary dysplasia (BPD); and same composite outcome excluding BPD. Secondary outcomes were mortality and individual morbidities. For each country, annual outcome trends and adjusted relative risks comparing epoch 2 (2012-2015) to epoch 1 (2007-2011) were analyzed. Results For composite outcome including BPD, the trend decreased in Canada and Israel but increased in Australia and New Zealand, Japan, Spain, Sweden, and the United Kingdom. For composite outcome excluding BPD, the trend decreased in all countries except Spain, Sweden, Tuscany, and the United Kingdom. The risk of composite outcome was lower in epoch 2 than epoch 1 in Canada (adjusted relative risks 0.78; 95% CI 0.74-0.82) only. The risk of composite outcome excluding BPD was significantly lower in epoch 2 compared with epoch 1 in Australia and New Zealand, Canada, Finland, Japan, and Switzerland. Mortality rates reduced in most countries in epoch 2. BPD rates increased significantly in all countries except Canada, Israel, Finland, and Tuscany. Conclusions In most countries, mortality decreased whereas BPD increased for neonates born very preterm

Sustainability

IPE and sustainability have co-evolved over the past 40 years under the twin pressures of ever-deepening neoliberal globalisation and environmental degradation. Globalisation has seen themassive expansion in international trade, investment and finance and an associated rise ininternational organizations, multinational corporations (MNCs) and civil society organisations.In conjunction with the development and spread of information and communicationstechnologies, the global political economy has transnationalised giving rise to new forms ofpublic, private and hybrid governance. Globalisation has been associated, however, with highlevels of tropical deforestation, fisheries depletion, biodiversity loss and global warming. Froma social justice perspective, deep-seated inequalities remain within and between countries inthe Anthropocene (Biermann et al 2012), with coefficients of inequality now greater than theywere at the outset of the globalisation push (Picketty 2014)