Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Poorya Amini"'
1
Akademický článek
Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature
Autor: Julien Knafou, Quentin Haas, Nikolay Borissov, Michel Counotte, Nicola Low, Hira Imeri, Aziz Mert Ipekci, Diana Buitrago-Garcia, Leonie Heron, Poorya Amini, Douglas Teodoro
Publikováno v: Systematic Reviews, Vol 12, Iss 1, Pp 1-16 (2023)
Abstract Background The COVID-19 pandemic has led to an unprecedented amount of scientific publications, growing at a pace never seen before. Multiple living systematic reviews have been developed to assist professionals with up-to-date and trustwort
Externí odkaz: https://doaj.org/article/141b6c1720be4bd78af0fee3ea0a1bc6
Zobrazit plný text záznamu
2
Akademický článek
Reducing systematic review burden using Deduklick: a novel, automated, reliable, and explainable deduplication algorithm to foster medical research
Autor: Nikolay Borissov, Quentin Haas, Beatrice Minder, Doris Kopp-Heim, Marc von Gernler, Heidrun Janka, Douglas Teodoro, Poorya Amini
Publikováno v: Systematic Reviews, Vol 11, Iss 1, Pp 1-10 (2022)
Abstract Background Identifying and removing reference duplicates when conducting systematic reviews (SRs) remain a major, time-consuming issue for authors who manually check for duplicates using built-in features in citation managers. To address iss
Externí odkaz: https://doaj.org/article/bb697e5873bc48a0bdaca2d0407f333a
Zobrazit plný text záznamu
3
Akademický článek
Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
Autor: Quentin Haas, Nikolay Borisov, David Vicente Alvarez, Sohrab Ferdowsi, Leonhard von Meyenn, Douglas Teodoro, Poorya Amini
Publikováno v: Frontiers in Digital Health, Vol 3 (2021)
The 2019 coronavirus (COVID-19) pandemic revealed the urgent need for the acceleration of vaccine development worldwide. Rapid vaccine development poses numerous risks for each category of vaccine technology. By using the Risklick artificial intellig
Externí odkaz: https://doaj.org/article/26473ecebba642e8bdcb15543e14aa70
Zobrazit plný text záznamu
4
Akademický článek
Information Retrieval in an Infodemic: The Case of COVID-19 Publications
Autor: Douglas Teodoro, Sohrab Ferdowsi, Nikolay Borissov, Elham Kashani, David Vicente Alvarez, Jenny Copara, Racha Gouareb, Nona Naderi, Poorya Amini
Publikováno v: Journal of Medical Internet Research, Vol 23, Iss 9, p e30161 (2021)
BackgroundThe COVID-19 global health crisis has led to an exponential surge in published scientific literature. In an attempt to tackle the pandemic, extremely large COVID-19–related corpora are being created, sometimes with inaccurate information,
Externí odkaz: https://doaj.org/article/cba849c742e04910a85f0f0de52fc941
Zobrazit plný text záznamu
5
Akademický článek
Neutrophil extracellular trap formation requires OPA1-dependent glycolytic ATP production
Autor: Poorya Amini, Darko Stojkov, Andrea Felser, Christopher B. Jackson, Carolina Courage, André Schaller, Laurent Gelman, Maria Eugenia Soriano, Jean-Marc Nuoffer, Luca Scorrano, Charaf Benarafa, Shida Yousefi, Hans-Uwe Simon
Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
Optic atrophy 1 (OPA1) is known to be important for mitochondrial fusion and structural integrity. Here, using OPA1 knockout mice, the authors show a detrimental effect on host defense capabilities against pathogen infections. This study reports a cr
Externí odkaz: https://doaj.org/article/d6d65756387f4a38a5e16d6f0ce5f658
Zobrazit plný text záznamu
7
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
Autor: Sohrab Ferdowsi, Nikolay Borissov, Julien Knafou, Poorya Amini, Douglas Teodoro
Publikováno v: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) pp. 608-618
We consider the hierarchical representation of documents as graphs and use geometric deep learning to classify them into different categories. While graph neural networks can efficiently handle the variable structure of hierarchical documents using t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebff098927b7db2753342cd0b60320c6
http://arxiv.org/abs/2110.15710
Zobrazit plný text záznamu
8
Information Retrieval in an Infodemic: The Case of COVID-19 Publications (Preprint)
Autor: Douglas Teodoro, Sohrab Ferdowsi, Nikolay Borissov, Elham Kashani, David Vicente Alvarez, Jenny Copara, Racha Gouareb, Nona Naderi, Poorya Amini
BACKGROUND The COVID-19 global health crisis has led to an exponential surge in published scientific literature. In an attempt to tackle the pandemic, extremely large COVID-19–related corpora are being created, sometimes with inaccurate information
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::853ca18ca8d0076478db457f36fbec96
https://doi.org/10.2196/preprints.30161
Zobrazit plný text záznamu
9
Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development
Autor: Quentin Haas, Sohrab Ferdowsi, Douglas Teodoro, David Vicente Alvarez, Sven Trelle, Poorya Amini, Nikolay Borissov, Leonhard von Meyenn
Publikováno v: Pharmacology
Pharmacology, Vol. 106, No 5-6 (2021) pp. 244-253
Introduction: 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 pursue relevant information and quantify its quality is broadly acknowledged. Mo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efac740366173579576312ced65f4939
Zobrazit plný text záznamu
10
Information retrieval in an infodemic: the case of COVID-19 publications
Autor: Nikolay Borissov, Sohrab Ferdowsi, Douglas Teodoro, Poorya Amini, Jenny Copara, Racha Gouareb, David Vicente Alvarez, Elham Kashani, Nona Naderi
Publikováno v: Journal of Medical Internet Research
Teodoro, Douglas; Ferdowsi, Sohrab; Borissov, Nikolay; Kashani, Elham; Vicente Alvarez, David; Copara, Jenny; Gouareb, Racha; Naderi, Nona; Amini, Poorya (2021). Information retrieval in an infodemic: the case of COVID-19 publications. Journal of medical internet research, 23(9), e30161. Centre of Global eHealth Innovation 10.2196/30161
JMIR. Journal of medical internet research, Vol. 23, No 9 (2021) P. e30161
Background The COVID-19 global health crisis has led to an exponential surge in published scientific literature. In an attempt to tackle the pandemic, extremely large COVID-19–related corpora are being created, sometimes with inaccurate information
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d924421e0d2b2577f65b409f3eba5e0f
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje