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  1. Article ; Online: Prenatal diagnosis of familial porencephaly associated with fetal stroke.

    Shields, A D / Knutzen, D / Khan, M / Sobh, O / Jacobs, K

    Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology

    2023  Volume 62, Issue 1, Page(s) 153–154

    MeSH term(s) Female ; Humans ; Pregnancy ; Porencephaly/diagnosis ; Prenatal Diagnosis/methods ; Stroke/diagnostic imaging ; Stroke/etiology
    Language English
    Publishing date 2023-01-30
    Publishing country England
    Document type Letter
    ZDB-ID 1073183-0
    ISSN 1469-0705 ; 0960-7692
    ISSN (online) 1469-0705
    ISSN 0960-7692
    DOI 10.1002/uog.26168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  2. Article ; Online: Congenital extremity anomalies with a TBX5 pathogenic variant in consecutive IVF assisted pregnancies: a case report of Holt-Oram Syndrome.

    Sobh, Omar / O'Sullivan, Robert / Mahoney, Maurice J / Kleinman, Gary

    Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology

    2021  Volume 42, Issue 3, Page(s) 524–526

    MeSH term(s) Abnormalities, Multiple ; Extremities/pathology ; Female ; Fertilization in Vitro ; Heart Defects, Congenital/genetics ; Heart Septal Defects, Atrial ; Humans ; Lower Extremity Deformities, Congenital ; Mutation ; Pregnancy ; T-Box Domain Proteins/genetics ; Upper Extremity Deformities, Congenital/genetics ; Upper Extremity Deformities, Congenital/pathology
    Chemical Substances T-Box Domain Proteins ; T-box transcription factor 5
    Language English
    Publishing date 2021-06-23
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 604639-3
    ISSN 1364-6893 ; 0144-3615
    ISSN (online) 1364-6893
    ISSN 0144-3615
    DOI 10.1080/01443615.2021.1916895
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: A Rare Case of COVID-19 Vaccine-Induced Thrombotic Thrombocytopenia in a Young Patient.

    Sobh, Osama / AlSoofi, Najla / Alatifi, Afarah / Alsulaim, Lamees / Dahhan, Hassan / Abuselmiya, Mohammed / AlJarallah, Ahmed / Elmaghrabi, Marwa M

    Cureus

    2022  Volume 14, Issue 4, Page(s) e24355

    Abstract: The syndrome of pulmonary SARS-Cov-2 resulted in significant morbidity and mortality, with new variants spreading rapidly. Vaccines to prevent COVID-19 have been developed to minimize the impact and severity; however, adverse effects of the vaccine have ... ...

    Abstract The syndrome of pulmonary SARS-Cov-2 resulted in significant morbidity and mortality, with new variants spreading rapidly. Vaccines to prevent COVID-19 have been developed to minimize the impact and severity; however, adverse effects of the vaccine have been documented in several studies. In our case, we report a case of a young female who presented to the emergency department with fever, dizziness, headache, vomiting, blurring of vision, numbness, and weakness of left upper and lower limbs. This weakness progressed rapidly to all limbs within two hours associated with altered behaviors and visual hallucinations. The family reported a history of the patient receiving her first dose of COVID-19 AstraZeneca vaccine 18 days before admission. Based on her clinical picture and investigation, she was diagnosed with vaccine-induced immune thrombotic thrombocytopenia (VITT). She was treated successfully with intravenous immunoglobulin (IVIG) and direct oral anticoagulant apixaban. In a time when there is a strategic goal to vaccinate the global population from COVID-19 to inhibit the spread of infection and reduce hospitalization, this particular clinical scenario emphasizes the need for all clinicians to remain vigilant for rare complications of the COVID-19 vaccination.
    Language English
    Publishing date 2022-04-21
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.24355
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A flagellum based study of semiconductor nanofabrication through magnetotaxis.

    Macwan, Isaac / Zhao, Zihe / Sobh, Omar / Patra, Prabir

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2015  Volume 2014, Page(s) 2777–2780

    Abstract: Magnetospirillum magneticum (AMB-1), which belong to alpha-protobacterium are gram-negative, single-celled prokaryotic organisms consisting of a lash-like cellular appendage called flagella. These filamentous structures are made up of a protein called ... ...

    Abstract Magnetospirillum magneticum (AMB-1), which belong to alpha-protobacterium are gram-negative, single-celled prokaryotic organisms consisting of a lash-like cellular appendage called flagella. These filamentous structures are made up of a protein called flagellin that in turn consist of four sub-domains, two inner domains (D0, D1) made up of alpha-helices and two outer domains (D2, D3) made up of beta sheets. It is wrapped in a helical fashion around the longitudinal filament with the outermost sub-domain (D3) exposed to the surrounding environment. This study focuses on the interaction of the D3 with semiconducting as well as metallic single-walled carbon nanotubes (m-SWNT) and in turn presents the interactive forces between the SWNT and D3 from the perspective of size and type of SWNT. It is found that the SWNT interacts the most with glycine and threonine residues of flagellin both electrostatically as well as through van der waals. Further, the viability of magnetotactic bacteria Magnetospirillum magneticum (AMB-1) in the presence of SWNT is experimentally investigated and it is found that magnetotaxis in AMB-1 is preserved without any toxic effects due to SWNT. It is proposed that AMB-1 can be used as an efficient carrier of carbon nanotubes through its flagellum for semiconductor nanofabrication tasks.
    MeSH term(s) Flagella/chemistry ; Flagellin/chemistry ; Flagellin/ultrastructure ; Magnetic Fields ; Magnetospirillum/chemistry ; Molecular Dynamics Simulation ; Nanotubes, Carbon/chemistry ; Protein Structure, Tertiary ; Semiconductors
    Chemical Substances Nanotubes, Carbon ; Flagellin (12777-81-0)
    Language English
    Publishing date 2015-01-06
    Publishing country United States
    Document type Journal Article
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC.2014.6944199
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data.

    Manjunath, Mohith / Zhang, Yi / Yeo, Steve H / Sobh, Omar / Russell, Nathan / Followell, Christian / Bushell, Colleen / Ravaioli, Umberto / Song, Jun S

    PeerJ. Computer science

    2018  Volume 4

    Abstract: Summary: Clustering is one of the most common techniques used in data analysis to discover hidden structures by grouping together data points that are similar in some measure into clusters. Although there are many programs available for performing ... ...

    Abstract Summary: Clustering is one of the most common techniques used in data analysis to discover hidden structures by grouping together data points that are similar in some measure into clusters. Although there are many programs available for performing clustering, a single web resource that provides both state-of-the-art clustering methods and interactive visualizations is lacking. ClusterEnG (acronym for Clustering Engine for Genomics) provides an interface for clustering big data and interactive visualizations including 3D views, cluster selection and zoom features. ClusterEnG also aims at educating the user about the similarities and differences between various clustering algorithms and provides clustering tutorials that demonstrate potential pitfalls of each algorithm. The web resource will be particularly useful to scientists who are not conversant with computing but want to understand the structure of their data in an intuitive manner.
    Availability: ClusterEnG is part of a bigger project called KnowEnG (Knowledge Engine for Genomics) and is available at http://education.knoweng.org/clustereng.
    Contact: songi@illinois.edu.
    Language English
    Publishing date 2018-05-21
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN 2376-5992
    DOI 10.7717/peerj-cs.155
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: InvertNet: a new paradigm for digital access to invertebrate collections.

    Dietrich, Chris / Hart, John / Raila, David / Ravaioli, Umberto / Sobh, Nahil / Sobh, Omar / Taylor, Chris

    ZooKeys

    2012  , Issue 209, Page(s) 165–181

    Abstract: InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation's Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million ... ...

    Abstract InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation's Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million specimens housed in 22 arthropod (primarily insect) collections at institutions distributed throughout the upper midwestern USA. The traditional workflow for insect collection digitization involves manually keying information from specimen labels into a database and attaching a unique identifier label to each specimen. This remains the dominant paradigm, despite some recent attempts to automate various steps in the process using more advanced technologies. InvertNet aims to develop improved semi-automated, high-throughput workflows for digitizing and providing access to invertebrate collections that balance the need for speed and cost-effectiveness with long-term preservation of specimens and accuracy of data capture. The proposed workflows build on recent methods for digitizing and providing access to high-quality images of multiple specimens (e.g., entire drawers of pinned insects) simultaneously. Limitations of previous approaches are discussed and possible solutions are proposed that incorporate advanced imaging and 3-D reconstruction technologies. InvertNet couples efficient digitization workflows with a highly robust network infrastructure capable of managing massive amounts of image data and related metadata and delivering high-quality images, including interactive 3-D reconstructions in real time via the Internet.
    Language English
    Publishing date 2012-07-20
    Publishing country Bulgaria
    Document type Journal Article
    ZDB-ID 2445640-8
    ISSN 1313-2970 ; 1313-2989
    ISSN (online) 1313-2970
    ISSN 1313-2989
    DOI 10.3897/zookeys.209.3571
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform.

    Blatti, Charles / Emad, Amin / Berry, Matthew J / Gatzke, Lisa / Epstein, Milt / Lanier, Daniel / Rizal, Pramod / Ge, Jing / Liao, Xiaoxia / Sobh, Omar / Lambert, Mike / Post, Corey S / Xiao, Jinfeng / Groves, Peter / Epstein, Aidan T / Chen, Xi / Srinivasan, Subhashini / Lehnert, Erik / Kalari, Krishna R /
    Wang, Liewei / Weinshilboum, Richard M / Song, Jun S / Jongeneel, C Victor / Han, Jiawei / Ravaioli, Umberto / Sobh, Nahil / Bushell, Colleen B / Sinha, Saurabh

    PLoS biology

    2020  Volume 18, Issue 1, Page(s) e3000583

    Abstract: We present Knowledge Engine for Genomics (KnowEnG), a free-to-use computational system for analysis of genomics data sets, designed to accelerate biomedical discovery. It includes tools for popular bioinformatics tasks such as gene prioritization, sample ...

    Abstract We present Knowledge Engine for Genomics (KnowEnG), a free-to-use computational system for analysis of genomics data sets, designed to accelerate biomedical discovery. It includes tools for popular bioinformatics tasks such as gene prioritization, sample clustering, gene set analysis, and expression signature analysis. The system specializes in "knowledge-guided" data mining and machine learning algorithms, in which user-provided data are analyzed in light of prior information about genes, aggregated from numerous knowledge bases and encoded in a massive "Knowledge Network." KnowEnG adheres to "FAIR" principles (findable, accessible, interoperable, and reuseable): its tools are easily portable to diverse computing environments, run on the cloud for scalable and cost-effective execution, and are interoperable with other computing platforms. The analysis tools are made available through multiple access modes, including a web portal with specialized visualization modules. We demonstrate the KnowEnG system's potential value in democratization of advanced tools for the modern genomics era through several case studies that use its tools to recreate and expand upon the published analysis of cancer data sets.
    MeSH term(s) Algorithms ; Cloud Computing ; Cluster Analysis ; Computational Biology/methods ; Data Analysis ; Data Mining/methods ; Datasets as Topic ; Genomics/methods ; High-Throughput Nucleotide Sequencing/methods ; Humans ; Knowledge ; Machine Learning ; Metabolomics/methods ; Software
    Language English
    Publishing date 2020-01-23
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2126776-5
    ISSN 1545-7885 ; 1544-9173
    ISSN (online) 1545-7885
    ISSN 1544-9173
    DOI 10.1371/journal.pbio.3000583
    Database MEDical Literature Analysis and Retrieval System OnLINE

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