Search Results - "Amini, Poorya"

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  1. 1

    ROS and glutathionylation balance cytoskeletal dynamics in neutrophil extracellular trap formation by Stojkov, Darko, Amini, Poorya, Oberson, Kevin, Sokollik, Christiane, Duppenthaler, Andrea, Simon, Hans-Uwe, Yousefi, Shida

    Published in The Journal of cell biology (04-12-2017)
    “…The antimicrobial defense activity of neutrophils partly depends on their ability to form neutrophil extracellular traps (NETs), but the underlying mechanism…”
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    Journal Article
  2. 2

    Neutrophil extracellular trap formation requires OPA1-dependent glycolytic ATP production by Amini, Poorya, Stojkov, Darko, Felser, Andrea, Jackson, Christopher B., Courage, Carolina, Schaller, André, Gelman, Laurent, Soriano, Maria Eugenia, Nuoffer, Jean-Marc, Scorrano, Luca, Benarafa, Charaf, Yousefi, Shida, Simon, Hans-Uwe

    Published in Nature communications (27-07-2018)
    “…Optic atrophy 1 (OPA1) is a mitochondrial inner membrane protein that has an important role in mitochondrial fusion and structural integrity. Dysfunctional…”
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  3. 3

    NET formation can occur independently of RIPK3 and MLKL signaling by Amini, Poorya, Stojkov, Darko, Wang, Xiaoliang, Wicki, Simone, Kaufmann, Thomas, Wong, Wendy Wei‐Lynn, Simon, Hans‐Uwe, Yousefi, Shida

    Published in European journal of immunology (01-01-2016)
    “…The importance of neutrophil extracellular traps (NETs) in innate immunity is well established but the molecular mechanisms responsible for their formation are…”
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  4. 4

    Reducing systematic review burden using Deduklick: a novel, automated, reliable, and explainable deduplication algorithm to foster medical research by Borissov, Nikolay, Haas, Quentin, Minder, Beatrice, Kopp-Heim, Doris, von Gernler, Marc, Janka, Heidrun, Teodoro, Douglas, Amini, Poorya

    Published in Systematic reviews (17-08-2022)
    “…Identifying and removing reference duplicates when conducting systematic reviews (SRs) remain a major, time-consuming issue for authors who manually check for…”
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  5. 5

    Information Retrieval in an Infodemic: The Case of COVID-19 Publications by Teodoro, Douglas, Ferdowsi, Sohrab, Borissov, Nikolay, Kashani, Elham, Vicente Alvarez, David, Copara, Jenny, Gouareb, Racha, Naderi, Nona, Amini, Poorya

    Published in Journal of medical Internet research (17-09-2021)
    “…Background The COVID-19 global health crisis has led to an exponential surge in published scientific literature. In an attempt to tackle the pandemic,…”
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  6. 6

    Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature by Knafou, Julien, Haas, Quentin, Borissov, Nikolay, Counotte, Michel, Low, Nicola, Imeri, Hira, Ipekci, Aziz Mert, Buitrago-Garcia, Diana, Heron, Leonie, Amini, Poorya, Teodoro, Douglas

    Published in Systematic reviews (05-06-2023)
    “…The COVID-19 pandemic has led to an unprecedented amount of scientific publications, growing at a pace never seen before. Multiple living systematic reviews…”
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  7. 7

    Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance by Haas, Quentin, Borisov, Nikolay, Alvarez, David Vicente, Ferdowsi, Sohrab, von Meyenn, Leonhard, Teodoro, Douglas, Amini, Poorya

    Published in Frontiers in digital health (02-11-2021)
    “…The 2019 coronavirus (COVID-19) pandemic revealed the urgent need for the acceleration of vaccine development worldwide. Rapid vaccine development poses…”
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    Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development by Haas, Quentin, Alvarez, David Vicente, Borissov, Nikolay, Ferdowsi, Sohrab, von Meyenn, Leonhard, Trelle, Sven, Teodoro, Douglas, Amini, Poorya

    Published in Pharmacology (01-05-2021)
    “…The SARS-CoV-2 pandemic has led to one of the most critical and boundless waves of publications in the history of modern science. The necessity to find and…”
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  12. 12

    Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study by Ferdowsi, Sohrab, Knafou, Julien, Borissov, Nikolay, Vicente Alvarez, David, Mishra, Rahul, Amini, Poorya, Teodoro, Douglas

    Published in Patterns (New York, N.Y.) (10-03-2023)
    “…Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a major risk factor. We aimed to investigate the use of deep…”
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    CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results by Yazdani, Anthony, Bornet, Alban, Khlebnikov, Philipp, Zhang, Boya, Rouhizadeh, Hossein, Amini, Poorya, Teodoro, Douglas

    Published 19-04-2024
    “…Adverse drug events (ADEs) significantly impact clinical research, causing many clinical trial failures. ADE prediction is key for developing safer medications…”
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  15. 15

    Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus by Ferdowsi, Sohrab, Borissov, Nikolay, Knafou, Julien, Amini, Poorya, Teodoro, Douglas

    Published 04-10-2021
    “…We consider the hierarchical representation of documents as graphs and use geometric deep learning to classify them into different categories. While graph…”
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