Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jocelyn Dachary"'
Autor:
Jean-Baptiste Schiratti, Rémy Dubois, Paul Herent, David Cahané, Jocelyn Dachary, Thomas Clozel, Gilles Wainrib, Florence Keime-Guibert, Agnes Lalande, Maria Pueyo, Romain Guillier, Christine Gabarroca, Philippe Moingeon
Publikováno v:
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-10 (2021)
Abstract Background The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs. Methods Using 9280 knee magnetic resonance (MR) im
Externí odkaz:
https://doaj.org/article/fd77d862bfd149b5960010b7cb15fe3d
Autor:
Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, Hugo Gortais, Paul Herent, Matthieu Devilder, Samer Soliman, Olivier Meyrignac, Marie-Pauline Talabard, Jean-Philippe Lamarque, Remy Dubois, Nicolas Loiseau, Paul Trichelair, Etienne Bendjebbar, Gabriel Garcia, Corinne Balleyguier, Mansouria Merad, Annabelle Stoclin, Simon Jegou, Franck Griscelli, Nicolas Tetelboum, Yingping Li, Sagar Verma, Matthieu Terris, Tasnim Dardouri, Kavya Gupta, Ana Neacsu, Frank Chemouni, Meriem Sefta, Paul Jehanno, Imad Bousaid, Yannick Boursin, Emmanuel Planchet, Mikael Azoulay, Jocelyn Dachary, Fabien Brulport, Adrian Gonzalez, Olivier Dehaene, Jean-Baptiste Schiratti, Kathryn Schutte, Jean-Christophe Pesquet, Hugues Talbot, Elodie Pronier, Gilles Wainrib, Thomas Clozel, Fabrice Barlesi, Marie-France Bellin, Michael G. B. Blum
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
The SARS-COV-2 pandemic has put pressure on intensive care units, so that predicting severe deterioration early is a priority. Here, the authors develop a multimodal severity score including clinical and imaging features that has significantly improv
Externí odkaz:
https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf07
Autor:
Paul Trichelair, Kathryn Schutte, Etienne Bendjebbar, Thomas Clozel, Nathalie Lassau, Sagar Verma, Gilles Wainrib, Simon Jégou, Remy Dubois, Frank Chemouni, Gabriel Garcia, Yingping Li, Annabelle Stoclin, Samer Soliman, Imad Bousaid, Paul Jehanno, Fabien Brulport, Hugo Gortais, Olivier Meyrignac, Jocelyn Dachary, Marie-Pauline Talabard, Emilie Chouzenoux, Ana Neacsu, Matthieu Terris, Fabrice Barlesi, Matthieu Devilder, Mikael Azoulay, Hugues Talbot, Kavya Gupta, Paul Herent, Olivier Dehaene, Franck Griscelli, Jean-Baptiste Schiratti, Michael G. B. Blum, Adrian Gonzalez, Jean-Christophe Pesquet, Nicolas Tetelboum, Corinne Balleyguier, Nicolas Loiseau, Marie-France Bellin, Samy Ammari, Elodie Pronier, Tasnim Dardouri, Emmanuel Planchet, Yannick Boursin, Meriem Sefta, Jean-Philippe Lamarque, Mansouria Merad
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature Communications
Nature Communications, Nature Publishing Group, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, inPress, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications
Nature Communications, Nature Publishing Group, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, In press, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
Nature Communications, inPress, 12 (634), ⟨10.1038/s41467-020-20657-4⟩
The SARS-COV-2 pandemic has put pressure on intensive care units, so that identifying predictors of disease severity is a priority. We collect 58 clinical and biological variables, and chest CT scan data, from 1003 coronavirus-infected patients from
Autor:
Thomas Clozel, Romain Guillier, Florence Keime-Guibert, Christine Gabarroca, Philippe Moingeon, David Cahané, Paul Herent, Jean-Baptiste Schiratti, Agnes Lalande, Maria Pueyo, Remy Dubois, Gilles Wainrib, Jocelyn Dachary
Background --The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs. -- Methods --Using data from the Osteoarthritis Initiativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e486c73a0530d1b7454e84f6719e359
https://doi.org/10.21203/rs.3.rs-521841/v1
https://doi.org/10.21203/rs.3.rs-521841/v1
Autor:
Jocelyn Dachary, Paul Herent, Romain Guillier, Philippe Moingeon, Jean-Baptiste Schiratti, David Cahané, Remy Dubois, Christine Gabarroca, Maria Pueyo, Florence Keime-Guibert, Agnes Lalande, Gilles Wainrib, Thomas Clozel
Publikováno v:
Arthritis Research & Therapy
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-10 (2021)
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-10 (2021)
Background The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs. Methods Using 9280 knee magnetic resonance (MR) images (326
Autor:
Simon Jégou, Jean-Philippe Lamarque, Matthieu Devilder, Paul Jehanno, Emilie Chouzenoux, Etienne Bendjebbar, Frank Chemouni, Sagar Verma, Nicolas Loiseau, Thomas Clozel, Franck Griscelli, Yannick Boursin, Imad Bousaid, Marie-Pauline Talabard, Elodie Pronier, Matthieu Terris, Tasnim Dardouri, Emmanuel Planchet, Olivier Dehaene, Jocelyn Dachary, Kathryn Schutte, Gilles Wainrib, Olivier Meyrignac, Corinne Balleyguier, Michael G. B. Blum, Yingping Li, Hugues Talbot, Mikael Azoulay, Fabien Brulport, Meriem Sefta, Fabrice Barlesi, Mansouria Merad, Remy Dubois, Samer Soliman, Paul Trichelair, Marie-France Bellin, Gabriel Garcia, Adrian Gonzalez, Jean-Christophe Pesquet, Nicolas Tetelboum, Samy Ammari, Nathalie Lassau, Ana Neacsu, Paul Herent, Jean-Baptiste Schiratti, Annabelle Stoclin, Hugo Gortais, Kavya Gupta
With 15% of severe cases among hospitalized patients, the SARS-COV-2 pandemic has put tremendous pressure on Intensive Care Units, and made the identification of early predictors of future severity a public health priority. We collected cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f1b408c431a3cc55d94074d9d9a15f5
https://doi.org/10.1101/2020.05.14.20101972
https://doi.org/10.1101/2020.05.14.20101972