Microbiologic epidemiology depending on time to occurrence of prosthetic joint infection: a prospective cohort study

Autor: Ferry, T., Valour, F., Perpoint, T., Boibieux, A., Biron, F., Miailhes, P., Ader, F., Becker, A., Roux, S., Triffault-Fillit, C., Daoud, F., Lippman, J., Braun, E., Chidiac, C., Gillet, Y., Hees, L., Lustig, S., Servien, E., Herry, Y., Gaillard, R., Schneider, A., Fessy, M.-H., Viste, A., Chaudier, P., Desmarchelier, R., Mouton, T., Courtin, C., Louboutin, L., Martres, S., Trouillet, F., Barrey, C., Signorelli, F., Jouanneau, E., Jacquesson, T., Mojallal, A., Boucher, F., Shipkov, H., Château, J., Aubrun, F., Bobineau, I., Macabéo, C., Laurent, F., Vandenesch, F., Rasigade, J.-P., Dupieux, C., Craighero, F., Boussel, L., Pialat, J.-B., Morelec, I., Janier, M., Giammarile, F., Tod, M., Gagnieu, M.-C., Goutelle, S., Gerbier-Colomban, S., Benet, T., Mabrut, E., Pradat, P., Conrad, A., Fessy, M.H.

Publikováno v: In Clinical Microbiology and Infection March 2019 25(3):353-358

Understanding deep learning with activation pattern diagrams

Autor: Craighero F., Angaroni F., Graudenzi A., Stella F., Antoniotti M.

The growing demand for machine learning tools to solve hard tasks, from natural language processing to image understanding, recently shifted the attention to understand and possibly to explain the behaviour of deep learning. Deep neural networks repr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1299::84a6464a404a22d1c9da2c419ebbe081
http://hdl.handle.net/10281/302793

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Subcutaneous suppressive antibiotic therapy for bone and joint infections: safety and outcome in a cohort of 10 patients

Autor: Lippman, J., Braun, E., Servien, E., Batailler, C., Gaillard, R., Gunst, S., Roger, J., Fiquet, C., Viste, A., Chaudier, P., Besse, J. L., Louboutin, L., Gaudin, G., Ledru, T., Van Haecke, A., Ode, Q., Mercier, M., Alech-Tournier, F., Martres, S., Trouillet, F., Barrey, C., Jouanneau, E., Jacquesson, T., Gerenton, B., Mojallal, A., Boucher, F., Shipkov, H., Ceruse, P., Fuchsmann, C., Gleizal, A., Aubrun, F., Dziadzko, M., Macabeo, C., Beraut, L., Dupieux, C., Kolenda, C., JOSSE, J., Gustave, C. A., Craighero, F., Boussel, L., Pialat, J. B., Morelec, I., Tod, M., Gagnieu, M. C., Mabrut, E., Lyon Bone Joint Infection, Study, Goutelle, S., Lustig, S., Daoud, F., Fessy, M. H., Cohen, S., Laurent, F., Chidiac, C., Valour, F., Ferry, T., Perpoint, T., Miailhes, P., Ader, F., Becker, A., Roux, S., Triffault-Fillit, C., Conrad, A., Perry, M., Pouderoux, C.

Publikováno v: Journal of Antimicrobial Chemotherapy
Journal of Antimicrobial Chemotherapy, Oxford University Press (OUP), 2019, 74 (7), pp.2060--2064. ⟨10.1093/jac/dkz104⟩
Journal of Antimicrobial Chemotherapy, 2019, 74 (7), pp.2060--2064. ⟨10.1093/jac/dkz104⟩

Background Optimal treatment of prosthetic joint infection and chronic osteomyelitis consists of surgical removal of biofilm-embedded bacteria, followed by a 6–12 week course of antimicrobial therapy. However, when optimal surgery is not feasible,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d3d5e5e208b16b8fbee76cd690c1016
https://hal.archives-ouvertes.fr/hal-02466240

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