Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Antonio Cardinale"'
Autor:
Antonio Cardinale, Alessandro Castrogiovanni, Theophile Gaudin, Joppe Geluykens, Teodoro Laino, Matteo Manica, Daniel Probst, Philippe Schwaller, Aleksandros Sobczyk, Alessandra Toniato, Alain C. Vaucher, Heiko Wolf, Federico Zipoli
Publikováno v:
CHIMIA, Vol 77, Iss 7/8 (2023)
The RXN for Chemistry project, initiated by IBM Research Europe – Zurich in 2017, aimed to develop a series of digital assets using machine learning techniques to promote the use of data-driven methodologies in synthetic organic chemistry. This res
Externí odkaz:
https://doaj.org/article/a7d5d4b484f54709884821f7a8e58eba
Publikováno v:
Cardiologia Ambulatoriale. 29:63-72
La malattia venosa cronica è una patologia ad altissima prevalenza nella popolazione generale, caratterizzata da andamento cronico e progressivo. Secondo la classificazione internazionale CEAP, viene differenziata in stadi di complessità e gravità
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36094fe6e1582fbdc78ad5ca60ce6e60
https://doi.org/10.17473/1971-6818-2021-1-8
https://doi.org/10.17473/1971-6818-2021-1-8
Publikováno v:
Nature Machine Intelligence. 3:485-494
Existing deep learning models applied to reaction prediction in organic chemistry can reach high levels of accuracy (>90% for natural language processing-based ones). With no chemical knowledge embedded other than the information learnt from reaction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02db1cf948560170132531e7c1666c9b
https://doi.org/10.1038/s42256-021-00319-w
https://doi.org/10.1038/s42256-021-00319-w
Existing deep learning models applied to reaction prediction in organic chemistry can reach high levels of accuracy (> 90% for Natural Language Processing-based ones).With no chemical knowledge embedded than the information learnt from reaction data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4970881d7f42c9c37fbdb6b5fe1acb57
https://doi.org/10.26434/chemrxiv.12395120
https://doi.org/10.26434/chemrxiv.12395120
Autor:
Teodoro Laino, Antonio Cardinale, Nil Adell Mill, María Rodríguez Martínez, Nikita Janakarajan, Modestas Filipavicius, Jannis Born, Joris Cadow, Greta Markert, Matteo Manica
Publikováno v:
Machine Learning: Science and Technology
Machine Learning: Science and Technology, 2 (2)
Machine Learning: Science and Technology, 2 (2)
Bridging systems biology and drug design, we propose a deep learning framework for de novo discovery of molecules tailored to bind with given protein targets. Our methodology is exemplified by the task of designing antiviral candidates to target SARS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceef35fcd5b24d9daa93247961865373
Autor:
Antonio Cardinale
Publikováno v:
STORIA IN LOMBARDIA. :7-24
Nel 150° anniversario dell’Unita d’Italia, in base ai registri di arruolamento del periodo 1855-80, conservati presso l’archivio comunale, e stata fatta una ricostruzione della societa di Graffignana, un comune rurale del Lodigiano. In questa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eba47b0cf29ac4be09a6c7baaabeacfd
https://doi.org/10.3280/sil2012-001001
https://doi.org/10.3280/sil2012-001001
Autor:
Maria Giovanna Neri, Pier Paolo Bitti, Antonio Cardinale, Paolo Preziosi, Antonella Meloni, Aurelio Maggio, Maria Paola Carta, Vincenzo Positano, Anna Pietrapertosa, Alessia Pepe, Sabrina Armari, Elisabetta Chiodi
Publikováno v:
Blood. 124:4041-4041
Background. Few studies have evaluated the efficacy of iron chelation therapy in thalassemia intermedia (TI) patients. Our study aimed to prospectively assess by quantitative Magnetic Resonance imaging (MRI) the efficacy of the three available chelat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfaf7d15b7bc63fd34311d436f1c32d1
https://doi.org/10.1182/blood.v124.21.4041.4041
https://doi.org/10.1182/blood.v124.21.4041.4041
Autor:
Antonella Meloni, Giovan Battista Ruffo, Daniele De Marchi, Antonio Cardinale, Anna Pietrapertosa, Elena Facchini, Patrizia Toia, Lucia De Franceschi, Vincenzo Positano, Massimo Lombardi, Alessia Pepe
Publikováno v:
Blood. 122:2252-2252
Introduction Sickle-thalassemia results from the combined heterozygosity for sickle-cell and β-thalassemia genes. This study evaluates myocardial and hepatic iron overload and cardiac function in Italian patients and explores their correlation with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::103e20414fc1c189c48399cce730968e
https://doi.org/10.1182/blood.v122.21.2252.2252
https://doi.org/10.1182/blood.v122.21.2252.2252