Importance of Co‐operative Hydrogen Bonding in the Apramycin‐Ribosomal Decoding A‐Site Interaction

Autor: Michael G. Pirrone, Chennaiah Ande, Klara Haldimann, Sven N. Hobbie, Andrea Vasella, Erik C. Böttger, David Crich

Publikováno v: ChemMedChem. 18

An intramolecular hydrogen bond between the protonated equatorial 7'-methylamino group of apramycin and the vicinal axial 6'-hydroxy group acidifies the 6'-hydroxy group leading to a strong hydrogen bond to A1408 in the ribosomal drug binding pocket

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0dfbaa34c2b6efce26e5a269f786152
https://doi.org/10.1002/cmdc.202200486

Radiomics and deep learning in lung cancer

Autor: Joseph Stancanello, G. Sartor, Michele Avanzo, G. Pirrone

Publikováno v: Strahlentherapie und Onkologie. 196:879-887

Lung malignancies have been extensively characterized through radiomics and deep learning. By providing a three-dimensional characterization of the lesion, models based on radiomic features from computed tomography (CT) and positron-emission tomograp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df5eea05e63adb0050cc3d47a0c88c36
https://doi.org/10.1007/s00066-020-01625-9

Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy

Autor: Vito Gagliardi, Michele Avanzo, Issam El Naqa, A. Revelant, G. Pirrone, G. Sartor, Oliver Blanck, Joseph Stancanello

Publikováno v: Med Phys

PURPOSE: To improve performance of machine learning (ML) models in predicting response of non-small cell lung cancer (NSCLC) to stereotactic body radiation therapy (SBRT) by integrating image features from pre-treatment CT with features from the biol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ba43433f60f51860037fc54c12892af
https://pubmed.ncbi.nlm.nih.gov/34415574

Combining computed tomography and biologically effective dose radiomics improves prediction of tumor response to robotic lung SBRT

Autor: M. Avanzo, V. Gagliardi, O. Blanck, G. Pirrone, J. Stancanello, A. Revelant, G. Sartor

Publikováno v: Physica Medica. 92:S2-S3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7bbfa3fbde66ab8fcdf2c239993a7ec
https://doi.org/10.1016/s1120-1797(22)00012-6

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

Autor: Serenella Russo, Osvaldo Rampado, Roberto Sghedoni, G. Pirrone, Veronica Ardu, Elena De Martin, Gina Belmonte, Andrea Barucci, M. Porzio, Angela Lombardi, Marco Giannelli, Raffaella Massafra, L. Milan, Marco Branchini, Savino Cilla, E. Gallio, Leda Lorenzon, Giorgio Ivan Russo, Giovanni Mettivier, Michele Avanzo, Alessia Giuliano, Annarita Fanizzi, Sabina Tangaro

Publikováno v: Physica medica (Online) 83 (2021): 221–242. doi:10.1016/j.ejmp.2021.04.010
info:cnr-pdr/source/autori:Avanzo M.; Porzio M.; Lorenzon L.; Milan L.; Sghedoni R.; Russo G.; Massafra R.; Fanizzi A.; Barucci A.; Ardu V.; Branchini M.; Giannelli M.;, Gallio E.; Cilla S.; Tangaro S.; Lombardi A.; Pirrone G.; De Martin E.; Giuliano A.; Belmonte G.; Russo S.; Rampado O.; Mettivier G./titolo:Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy/doi:10.1016%2Fj.ejmp.2021.04.010/rivista:Physica medica (Online)/anno:2021/pagina_da:221/pagina_a:242/intervallo_pagine:221–242/volume:83

Purpose To perform a systematic review on the research on the application of artificial intelligence (AI) to imaging published in Italy and identify its fields of application, methods and results. Materials and Methods A Pubmed search was conducted u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c2cea7afd287fc88717303cd56dda0f
https://pubmed.ncbi.nlm.nih.gov/33951590