EFFICACY OF USTEKINUMAB IN THE TREATMENT OF PATIENTS WITH CROHN’S DISEASE WITH FAILURE TO PREVIOUS CONVENTIONAL OR BIOLOGIC THERAPY: A PROSPECTIVE OBSERVATIONAL REAL-LIFE STUDY

Autor: Miranda, A., Gravina, A. G., Cuomo, A., Mucherino, C., Sgambato, D., Facchiano, A., Granata, L., Priadko, K., Pellegrino, R., de Filippo, F. R., Camera, S., Cuomo, R., Melina, R., D'Onofrio, V., Manguso, F., Ciacci, C., Romano, M.

Ustekinumab (UST), a human anti-IL12/23p40 monoclonal antibody, was approved by FDA and EMA for the treatment of moderate to severe Crohn's disease (CD). Whether UST is effective in inducing deep remission, including mucosal healing and transmural he

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http://hdl.handle.net/11591/462467

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Application of VUV laser harmonic radiation to the measurement of porous silicon dielectric function

Autor: De Filippo, F., de Lisio, C., Maddalena, P. ^*, Solimeno, S., Lérondel, G., Altucci, C.

Publikováno v: In Optics and Lasers in Engineering 2002 37(5):611-620

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Extracting information from multimodal images of documents and artworks

Autor: Tonazzini A., Salerno E., Palleschi V., Bianco G., De Filippo F.

Publikováno v: 6th International Congress on "Science and Technology for the Safeguard of Cultural Heritage in the Mediterranean Basin", pp. 196–204, Athens, Greece, 22-25 October 2013
info:cnr-pdr/source/autori:Tonazzini A.; Salerno E.; Palleschi V.; Bianco G.; De Filippo F./congresso_nome:6th International Congress on "Science and Technology for the Safeguard of Cultural Heritage in the Mediterranean Basin"/congresso_luogo:Athens, Greece/congresso_data:22-25 October 2013/anno:2014/pagina_da:196/pagina_a:204/intervallo_pagine:196–204

We present some image processing techniques that have been demonstrated useful to extract relevant information or improve the human readability of various artefacts of cultural interest. In many cases, the imaging data available for one such object a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9de3ffd914276ef76548542ca585ad2e
https://openportal.isti.cnr.it/doc?id=people______::9de3ffd914276ef76548542ca585ad2e