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1دورية أكاديمية
المؤلفون: Iacucci, M, Cannatelli, R, Parigi,T.L., Nardone, O.M., Tontini, G.E., Labarile, N, Buda, A., Rimondi, A., Bazarova, A., Bisschops, R., del Amor, R., Meseguer, P., Naranjo, V., PICaSSO Group, Ghosh, S., Grisan, E.
وصف الملف: application/vnd.openxmlformats-officedocument.wordprocessingml.document
العلاقة: https://openresearch.lsbu.ac.uk/download/80b7d8cb94459d14467138fe2e68436054050dd451dc58cadbb26c2e153d884c/60387/PICaSSO%20AI_Endoscopy_14.7.22_clean.docxTest; https://doi.org/10.1055/a-1960-3645Test; Iacucci, M, Cannatelli, R, Parigi,T.L., Nardone, O.M., Tontini, G.E., Labarile, N, Buda, A., Rimondi, A., Bazarova, A., Bisschops, R., del Amor, R., Meseguer, P., Naranjo, V., PICaSSO Group, Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis. Endoscopy. https://doi.org/10.1055/a-1960-3645Test
الإتاحة: https://doi.org/10.1055/a-1960-3645Test
https://openresearch.lsbu.ac.uk/item/91v7vTest
https://openresearch.lsbu.ac.uk/download/80b7d8cb94459d14467138fe2e68436054050dd451dc58cadbb26c2e153d884c/60387/PICaSSO%20AI_Endoscopy_14.7.22_clean.docxTest -
2دورية أكاديمية
المؤلفون: Iacucci, M., Jeffery, L., Acharjee, A., Grisan, E., Buda, A., Nardone, O.M., Smith, S.C.L., Labarile, N., Zardo, D., Ungar, B., Hunter, S., Mao, R., Cannatelli,R., Shivaji, U.N., Parigi, T.L., Reynolds, G.M., Gkoutos, G.V., Ghosh, S.
مصطلحات موضوعية: ulcerative colitis, Crohn’s disease, biological agents, probe confocal laser endomicroscopy, RNA transcriptomics, endoscopic molecular labeling, artificial intelligence
وصف الملف: application/pdf
العلاقة: https://openresearch.lsbu.ac.uk/download/51bafa6f6199c051185ac3093bfcca5185c8aac895b551d3aee1071d04ae1ebd/1383856/izac233.pdfTest; https://doi.org/0.1093/ibd/izac233Test; Iacucci, M., Jeffery, L., Acharjee, A., Grisan, E., Buda, A., Nardone, O.M., Smith, S.C.L., Labarile, N., Zardo, D., Ungar, B., Hunter, S., Mao, R., Cannatelli,R., Shivaji, U.N., Parigi, T.L., Reynolds, G.M., Gkoutos, G.V. and Ghosh, S. (2022). Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study. Inflammatory Bowel Diseases. 2022 (izac233), pp. 1-12. https://doi.org/0.1093/ibd/izac233Test
