2,068 results on '"Martinelli, E"'
Search Results
2. Assessment of Early-Age Concrete Performance Through Numerical Hydration Modeling
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Pepe, M., Lima, C., Martinelli, E., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, and Menegotto, Marco, editor
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- 2024
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3. Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis
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Mencattini, A., D’Orazio, M., Casti, P., Comes, M. C., Di Giuseppe, D., Antonelli, G., Filippi, J., Corsi, F., Ghibelli, L., Veith, I., Di Natale, C., Parrini, M. C., and Martinelli, E.
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- 2023
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4. Comprehensive genomic profiling by liquid biopsy captures tumor heterogeneity and identifies cancer vulnerabilities in patients with RAS/BRAFV600E wild-type metastatic colorectal cancer in the CAPRI 2-GOIM trial
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Ciardiello, Davide, Bielo, Luca Boscolo, Napolitano, Stefania, Martinelli, Erika, Troiani, Teresa, Nicastro, Antonella, Latiano, Tiziana Pia, Parente, Paola, Maiello, Evaristo, Avallone, Antonio, Normanno, Nicola, Pisconti, Salvatore, Nisi, Claudia, Bordonaro, Roberto, Russo, Alessia Erika, Tamburrini, Emiliano, Toma, Ilaria, Lotesoriere, Claudio, Vallarelli, Simona, Zampino, Maria Giulia, Fazio, Nicola, Curigliano, Giuseppe, Ciardiello, Fortunato, Martini, Giulia, Lonardi, Sara, Cremolini, Chiara, Garufi, Carlo, Tagliaferri, Pierosandro, Tortora, Giampaolo, Pietrantonio, Filippo, Febbraro, Antonio, Rosati, Gerardo, Leo, Silvana, Brunetti, Oronzo, Berardi, Rosanna, Cinieri, Saverio, Scartozzi, Mario, Zaniboni, Alberto, Paoletti, Giancarlo, Ciardiello, D., Boscolo Bielo, L., Napolitano, S., Martinelli, E., Troiani, T., Nicastro, A., Latiano, T.P., Parente, P., Maiello, E., Avallone, A., Normanno, N., Pisconti, S., Nisi, C., Bordonaro, R., Russo, A.E., Tamburini, E., Toma, I., Lotesoriere, C., Vallarelli, S., Zampino, M.G., Fazio, N., Curigliano, G., De Vita, F., Ciardiello, F., and Martini, G.
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- 2024
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5. Optical detection of Aflatoxins B in grained almonds using fluorescence spectroscopy and machine learning algorithms
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Bertani, F. R., Businaro, L., Gambacorta, L., Mencattin, A., Brenda, D., Di Giuseppe, D., De Ninno, A., Solfrizzo, M., Martinelli, E., and Gerardino, A.
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Quantitative Biology - Quantitative Methods ,Physics - Data Analysis, Statistics and Probability - Abstract
Aflatoxins are fungal metabolites extensively produced by many different fungal species that may contaminate a wide range of agricultural food products. They have been studied extensively because of being associated with various chronic and acute diseases especially immunosuppression and cancer and their presence in food is strictly monitored and regulated worldwide. Aflatoxin detection and measurement relies mainly on chemical methods usually based on chromatography approaches, and recently developed immunochemical based assays that have advantages but also limitations, since these are expensive and destructive techniques. Nondestructive, optical approaches are recently being developed to assess presence of contamination in a cost and time effective way, maintaining acceptable accuracy and reproducibility. In this paper are presented the results obtained with a simple portable device for nondestructive detection of aflatoxins in almonds. The presented approach is based on the analysis of fluorescence spectra of slurried almonds under 375 nm wavelength excitation. Experiments were conducted with almonds contaminated in the range of 2.7-320.2 ng/g total aflatoxins B (AFB1 + AFB2) as determined by HPLC/FLD. After applying pre-processing steps, spectral analysis was carried out by a binary classification model based on SVM algorithm. A majority vote procedure was then performed on the classification results. In this way we could achieve, as best result, a classification accuracy of 94% (and false negative rate 5%) with a threshold set at 6.4 ng/g. These results illustrate the feasibility of such an approach in the great challenge of aflatoxin detection for food and feed safety.
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- 2020
6. S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images
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Casti, P., Cardarelli, S., Comes, M.C., D'Orazio, M., Filippi, J., Antonelli, G., Mencattini, A., Di Natale, C., and Martinelli, E.
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- 2023
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7. Plasmatic BRAF-V600E allele fraction as a prognostic factor in metastatic colorectal cancer treated with BRAF combinatorial treatments
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Ros, J., Matito, J., Villacampa, G., Comas, R., Garcia, A., Martini, G., Baraibar, I., Saoudi, N., Salvà, F., Martin, Á., Antista, M., Toledo, R., Martinelli, E., Pietrantonio, F., Boccaccino, A., Cremolini, C., Dienstmann, R., Tabernero, J., Vivancos, A., and Elez, E.
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- 2023
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8. Pan-Asian adapted ESMO Clinical Practice Guidelines for the diagnosis, treatment and follow-up of patients with metastatic colorectal cancer
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Yoshino, T., Cervantes, A., Bando, H., Martinelli, E., Oki, E., Xu, R.-H., Mulansari, N.A., Govind Babu, K., Lee, M.A., Tan, C.K., Cornelio, G., Chong, D.Q., Chen, L.-T., Tanasanvimon, S., Prasongsook, N., Yeh, K.-H., Chua, C., Sacdalan, M.D., Sow (Jenson), W.J., Kim, S.T., Chacko, R.T., Syaiful, R.A., Zhang, S.Z., Curigliano, G., Mishima, S., Nakamura, Y., Ebi, H., Sunakawa, Y., Takahashi, M., Baba, E., Peters, S., Ishioka, C., and Pentheroudakis, G.
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- 2023
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9. Establishment of patient-derived tumor organoids to functionally inform treatment decisions in metastatic colorectal cancer
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Martini, G., Belli, V., Napolitano, S., Ciaramella, V., Ciardiello, D., Belli, A., Izzo, F., Avallone, A., Selvaggi, F., Menegon Tasselli, F., Santaniello, W., Franco, R., Puig, I., Ramirez, L., Chicote, I., Mancuso, F., Caratu, G., Serres, X., Fasani, R., Jimenez, J., Ros, J., Baraibar, I., Mulet, N., Della Corte, C.M., Troiani, T., Vivancos, A., Dienstmann, R., Elez, E., Palmer, H.G., Tabernero, J., Martinelli, E., Ciardiello, F., and Argilés, G.
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- 2023
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10. Machine learning microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for red blood cell plasticity evaluation in Pyruvate Kinase Disease monitoring
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Mencattini, A., Rizzuto, V., Antonelli, G., Di Giuseppe, D., D’Orazio, M., Filippi, J., Comes, M.C., Casti, P., Vives Corrons, J.L., Garcia-Bravo, M., Segovia, J.C., del Mar Mañú-Pereira, Maria, Lopez-Martinez, M.J., Samitier, J., and Martinelli, E.
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- 2023
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11. Regorafenib monotherapy as second-line treatment of patients with RAS-mutant advanced colorectal cancer (STREAM): an academic, multicenter, single-arm, two-stage, phase II study
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Cardone, C., De Stefano, A., Rosati, G., Cassata, A., Silvestro, L., Borrelli, M., Di Gennaro, E., Romano, C., Nappi, A., Zanaletti, N., Foschini, F., Casaretti, R., Tatangelo, F., Lastoria, S., Raddi, M., Bilancia, D., Granata, V., Setola, S., Petrillo, A., Vitagliano, C., Gargiulo, P., Arenare, L., Febbraro, A., Martinelli, E., Ciardiello, F., Delrio, P., Budillon, A., Piccirillo, M.C., and Avallone, A.
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- 2023
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12. Targeting KRASG12C in colorectal cancer: the beginning of a new era
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Ciardiello, D., Maiorano, B.A., and Martinelli, E.
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- 2023
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13. Triggering processes of deep-seated gravitational slope deformation (DSGSD) in an un-glaciated area of the Cavargna Valley (Central Southern Alps) during the Middle Holocene
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Livio, F. A., Zerboni, A., Ferrario, M. F., Mariani, G. S., Martinelli, E., and Amit, R.
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- 2022
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14. Real-world first-line treatment of patients with BRAFV600E-mutant metastatic colorectal cancer: the CAPSTAN CRC study
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Martinelli, E., Cremolini, C., Mazard, T., Vidal, J., Virchow, I., Tougeron, D., Cuyle, P.-J., Chibaudel, B., Kim, S., Ghanem, I., Asselain, B., Castagné, C., Zkik, A., Khan, S., and Arnold, D.
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- 2022
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15. Exploiting spectral information in Opto-Electronic Tweezers for cell classification and drug response evaluation
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Filippi, J., Di Giuseppe, D., Casti, P., Mencattini, A., Antonelli, G., D’Orazio, M., Corsi, F., Della-Morte Canosci, D., Ghibelli, L., Witte, C., Di Natale, C., Neale, S.L., and Martinelli, E.
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- 2022
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16. Clinical efficacy of sequential treatments in KRASG12C-mutant metastatic colorectal cancer: findings from a real-life multicenter Italian study (CRC-KR GOIM)
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Ciardiello, D., Chiarazzo, C., Famiglietti, V., Damato, A., Pinto, C., Zampino, M.G., Castellano, G., Gervaso, L., Zaniboni, A., Oneda, E., Rapisardi, S., Bordonaro, R., Zichi, C., De Vita, F., Di Maio, M., Parisi, A., Giampieri, R., Berardi, R., Lavacchi, D., Antonuzzo, L., Tamburini, E., Maiorano, B.A., Parrella, P., Latiano, T.P., Normanno, N., De Stefano, A., Avallone, A., Martini, G., Napolitano, S., Troiani, T., Martinelli, E., Ciardiello, F., and Maiello, E.
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- 2022
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17. Role of molecular genetics in the clinical management of cholangiocarcinoma
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Normanno, N., Martinelli, E., Melisi, D., Pinto, C., Rimassa, L., Santini, D., and Scarpa, A.
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- 2022
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18. Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response
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D’Orazio, M., Murdocca, M., Mencattini, A., Casti, P., Filippi, J., Antonelli, G., Di Giuseppe, D., Comes, M. C., Di Natale, C., Sangiuolo, F., and Martinelli, E.
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- 2022
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19. The Effect of Freeze-Thaw Cycles on the Mechanical Performance of RAC
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Rangel, C. S., Amario, M., Pepe, M., Martinelli, E., Toledo Filho, R. D., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, and Menegotto, Marco, editor
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- 2020
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20. Nonlinear Modeling Approaches for Existing Reinforced Concrete Buildings: The Case Study of De Gasperi-Battaglia School Building in Norcia
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Lima, C., Angiolilli, M., Barbagallo, F., Belletti, B., Bergami, A. V., Camata, G., Cantagallo, C., Di Domenico, M., Fiorentino, G., Ghersi, A., Gregori, A., Lavorato, D., Luciano, R., Marino, E. M., Martinelli, E., Nuti, C., Ricci, P., Rosati, L., Ruggieri, S., Sessa, S., Spacone, E., Terrenzi, M., Uva, G., Vecchi, F., Verderame, G. M., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, and Menegotto, Marco, editor
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- 2020
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21. Anal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up☆
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Rao, S., Guren, M.G., Khan, K., Brown, G., Renehan, A.G., Steigen, S.E., Deutsch, E., Martinelli, E., and Arnold, D.
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- 2021
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22. The use of virtual tours to stimulate consumers’ buying and visit intentions: an application to the Parmigiano Reggiano cheese
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De Canio, F., Martinelli, E., Peruzzini, M., and Marchi, G.
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- 2021
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23. Social distress among medical oncologists and other healthcare professionals during the first wave of COVID-19 pandemic in Italy
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Berardi, R., Torniai, M., Cona, M.S., Cecere, F.L., Chiari, R., Guarneri, V., La Verde, N., Locati, L., Lorusso, D., Martinelli, E., Giannarelli, D., and Garassino, M.C.
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- 2021
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24. A cidade do Rio de Janeiro (1808-1850) em dois tempos: uma proposta de mapa digital interativo para o ensino de História na educação básica
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Roberta Martinelli e Barbosa
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ensino de história ,história digital ,cidade do rio de janeiro ,diáspora africana ,History (General) and history of Europe ,History (General) ,D1-2009 - Abstract
O artigo apresenta reflexões sobre a cultura digital e a história pública, articulando-as com as questões específicas do aprendizado escolar da História no tempo presente. Considerando a escola como espaço de produção de saberes, procuramos compreender de que forma a tecnologia digital vem sendo apropriada como metodologia em ações educativas no Ensino de História. Muitas dessas ações resultam na elaboração de produtos autorais que, na conjunção ensino-pesquisa, envolvem docentes e discentes e exploram as potencialidades de diálogo entre uma narrativa tanto midiatizada quanto didática da História. Um exemplo disso é o mapa digital interativo da cidade do Rio de Janeiro (1808-1850). O mapa interativo é o ponto de partida para o acesso a animações que buscam recuperar vivências de sujeitos históricos africanos(as) e afrodescendentes, escravizados e libertos, no cotidiano da cidade. As narrativas sobre essas vivências apresentam situações-problema que suscitam indagações socioculturais e contribuem para a elaboração da perspectiva histórica.
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- 2022
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25. Multi-scale generative adversarial network for improved evaluation of cell–cell interactions observed in organ-on-chip experiments
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Comes, M. C., Filippi, J., Mencattini, A., Casti, P., Cerrato, G., Sauvat, A., Vacchelli, E., De Ninno, A., Di Giuseppe, D., D’Orazio, M., Mattei, F., Schiavoni, G., Businaro, L., Di Natale, C., Kroemer, G., and Martinelli, E.
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- 2021
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26. Localised colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
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Argilés, G., Tabernero, J., Labianca, R., Hochhauser, D., Salazar, R., Iveson, T., Laurent-Puig, P., Quirke, P., Yoshino, T., Taieb, J., Martinelli, E., and Arnold, D.
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- 2020
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27. Pan-Asian adapted ESMO Clinical Practice Guidelines for the management of patients with intermediate and advanced/relapsed hepatocellular carcinoma: a TOS–ESMO initiative endorsed by CSCO, ISMPO, JSMO, KSMO, MOS and SSO
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Chen, L.-T., Martinelli, E., Cheng, A.-L., Pentheroudakis, G., Qin, S., Bhattacharyya, G.S., Ikeda, M., Lim, H.-Y., Ho, G.F., Choo, S.P., Ren, Z., Malhotra, H., Ueno, M., Ryoo, B.-Y., Kiang, T.C., Tai, D., Vogel, A., Cervantes, A., Lu, S.-N., Yen, C.-J., Huang, Y.-H., Chen, S.-C., Hsu, C., Shen, Y.-C., Tabernero, J., Yen, Y., Hsu, C.-H., Yoshino, T., and Douillard, J.-Y.
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- 2020
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28. 93P The survival impact of the addition of durvalumab to cisplatin/gemcitabine in advanced biliary tract cancer: A real-world, retrospective, multicentric study
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Rimini, M., primary, Persano, M., additional, Fornaro, L., additional, Antonuzzo, L., additional, Lonardi, S., additional, Rimassa, L., additional, Niger, M., additional, Silletta, M., additional, Tamburini, E., additional, Giordano, G., additional, Scartozzi, M., additional, Pastorino, A., additional, Martinelli, E., additional, Rizzato, M.D., additional, and Gardini, A. Casadei, additional
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- 2023
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29. Seismic Retrofitting of RC Frames: A Rational Strategy Based on Genetic Algorithms
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Falcone, R., Faella, C., Lima, C., Martinelli, E., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Solari, Giovanni, Series Editor, Vayas, Ioannis, Series Editor, and Menegotto, Marco, editor
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- 2018
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30. Hybrid Industrial/Recycled SFRC: Experimental Analysis and Design
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Vistos, L., Galladini, D., Xargay, H., Caggiano, A., Folino, P., Martinelli, E., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Solari, Giovanni, Series Editor, Vayas, Ioannis, Series Editor, and Menegotto, Marco, editor
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- 2018
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31. Inverse Identification of the Bond-Slip Law for Sisal Fibers in High-Performance Cementitious Matrices
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Ferreira, S. R., Pepe, M., Martinelli, E., Silva, F. A., Toledo Filho, R. D., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Solari, Giovanni, Series Editor, Vayas, Ioannis, Series Editor, and Menegotto, Marco, editor
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- 2018
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32. Hereditary gastrointestinal cancers: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†
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Stjepanovic, N., Moreira, L., Carneiro, F., Balaguer, F., Cervantes, A., Balmaña, J., and Martinelli, E.
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- 2019
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33. Pan-Asian adapted ESMO Clinical Practice Guidelines for the management of patients with metastatic gastric cancer: a JSMO–ESMO initiative endorsed by CSCO, KSMO, MOS, SSO and TOS
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Muro, K., Van Cutsem, E., Narita, Y., Pentheroudakis, G., Baba, E., Li, J., Ryu, M -H, Zamaniah, W I Wan, Yong, W -P, Yeh, K -H, Kato, K., Lu, Z., Cho, B.C., Nor, I.M., Ng, M., Chen, L -T, Nakajima, T.E., Shitara, K., Kawakami, H., Tsushima, T., Yoshino, T., Lordick, F., Martinelli, E., Smyth, E.C., Arnold, D., Minami, H., Tabernero, J., and Douillard, J -Y
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- 2019
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34. Pan-Asian adapted ESMO Clinical Practice Guidelines for the management of patients with metastatic oesophageal cancer: a JSMO–ESMO initiative endorsed by CSCO, KSMO, MOS, SSO and TOS
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Muro, K., Lordick, F., Tsushima, T., Pentheroudakis, G., Baba, E., Lu, Z., Cho, B.C., Nor, I.M., Ng, M., Chen, L -T, Kato, K., Li, J., Ryu, M -H, Zamaniah, W I Wan, Yong, W -P, Yeh, K -H, Nakajima, T.E., Shitara, K., Kawakami, H., Narita, Y., Yoshino, T., Van Cutsem, E., Martinelli, E., Smyth, E.C., Arnold, D., Minami, H., Tabernero, J., and Douillard, J -Y
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- 2019
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35. Updated treatment recommendation for third-line treatment in advanced colorectal cancer from the ESMO Metastatic Colorectal Cancer Living Guideline
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Cervantes, A., primary and Martinelli, E., additional
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- 2023
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36. Hepatocellular carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
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Vogel, A., Cervantes, A., Chau, I., Daniele, B., Llovet, J.M., Meyer, T., Nault, J -C, Neumann, U., Ricke, J., Sangro, B., Schirmacher, P., Verslype, C., Zech, C.J., Arnold, D., and Martinelli, E.
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- 2018
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37. RAS testing of liquid biopsy correlates with the outcome of metastatic colorectal cancer patients treated with first-line FOLFIRI plus cetuximab in the CAPRI-GOIM trial
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Normanno, N., Esposito Abate, R., Lambiase, M., Forgione, L., Cardone, C., Iannaccone, A., Sacco, A., Rachiglio, A.M., Martinelli, E., Rizzi, D., Pisconti, S., Biglietto, M., Bordonaro, R., Troiani, T., Latiano, T.P., Giuliani, F., Leo, S., Rinaldi, A., Maiello, E., and Ciardiello, F.
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- 2018
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38. Towards localization of malignant sites of asymmetry across bilateral mammograms
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Casti, P., Mencattini, A., Salmeri, M., Ancona, A., Lorusso, M., Pepe, M.L., Natale, C. Di, and Martinelli, E.
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- 2017
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39. Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial Network
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Comes, Maria Colomba, Filippi, J., Mencattini, A., Corsi, F., Casti, P., De Ninno, A., Di Giuseppe, D., D’Orazio, M., Ghibelli, L., Mattei, F., Schiavoni, G., Businaro, L., Di Natale, C., and Martinelli, E.
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- 2020
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40. Machine Learning (ML) based-method applied in recurrent pregnancy loss (RPL) patients diagnostic work-up: a potential innovation in common clinical practice
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Bruno, V., D’Orazio, M., Ticconi, C., Abundo, P., Riccio, S., Martinelli, E., Rosato, N., Piccione, E., Zupi, E., and Pietropolli, A.
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- 2020
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41. Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments
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Mencattini, A., Di Giuseppe, D., Comes, M. C., Casti, P., Corsi, F., Bertani, F. R., Ghibelli, L., Businaro, L., Di Natale, C., Parrini, M. C., and Martinelli, E.
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- 2020
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42. Triple blockade of EGFR, MEK and PD-L1 has antitumor activity in colorectal cancer models with constitutive activation of MAPK signaling and PD-L1 overexpression
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Napolitano, S., Matrone, N., Muddassir, A. L., Martini, G., Sorokin, A., De Falco, V., Giunta, E. F., Ciardiello, D., Martinelli, E., Belli, V., Furia, M., Kopetz, S., Morgillo, F., Ciardiello, F., and Troiani, T.
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- 2019
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43. Updated treatment recommendation for third-line treatment in advanced colorectal cancer from the ESMO Metastatic Colorectal Cancer Living Guideline
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Cervantes, A. and Martinelli, E.
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- 2024
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44. The Effect of Freeze-Thaw Cycles on the Mechanical Performance of RAC
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Rangel, C. S., primary, Amario, M., additional, Pepe, M., additional, Martinelli, E., additional, and Toledo Filho, R. D., additional
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- 2019
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45. Nonlinear Modeling Approaches for Existing Reinforced Concrete Buildings: The Case Study of De Gasperi-Battaglia School Building in Norcia
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Lima, C., primary, Angiolilli, M., additional, Barbagallo, F., additional, Belletti, B., additional, Bergami, A. V., additional, Camata, G., additional, Cantagallo, C., additional, Di Domenico, M., additional, Fiorentino, G., additional, Ghersi, A., additional, Gregori, A., additional, Lavorato, D., additional, Luciano, R., additional, Marino, E. M., additional, Martinelli, E., additional, Nuti, C., additional, Ricci, P., additional, Rosati, L., additional, Ruggieri, S., additional, Sessa, S., additional, Spacone, E., additional, Terrenzi, M., additional, Uva, G., additional, Vecchi, F., additional, and Verderame, G. M., additional
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- 2019
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46. NUMERICAL SIMULATION OF LAP-SHEAR AND PRESTRESS FORCE RELEASE TESTS OF FRP STRIPS GLUED ON CONCRETE: CONSIDERATIONS ABOUT THE ROLE OF MIXED-MODE FRACTURE PROCESSES
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Martinelli, E., Breveglieri, M., Moshiri, N., and Czaderski, C.
- Abstract
Lap-shear tests carried out on Externally Bonded (EB) FRP strips or, more recently, prestress force release tests have established in the scientific community as experimental methods intended at determining the actual bearing capacity of EB FRP strips glued to concrete. The results of these tests are employed to scrutinize the interface behavior between FRP and supporting materials, which is generally modelled as a pure mode II fracture process. This paper shows the results of a numerical study intended at further unveiling the role of mixed-mode fracture parameters in the debonding process between FRP strips and concrete in lap-shear and prestress force releasing tests., Paper 38
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- 2023
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47. EBR VS EBROG FOR FRP STRENGTHENING OF RC SLABS: EXPERIMENTAL AND NUMERICAL MODELLING
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Martinelli, E., Breveglieri, M., Czaderski, C., and Moshiri, N.
- Abstract
Fiber-Reinforced Polymer (FRP) strips are often utilized with the aim to enhance the bending capacity of Reinforced Concrete (RC) slabs, in view for the latter to either resist higher loads or face aging and damage issues. However, the weak link of Externally Bonded Reinforcement (EBR) is the adhesion between the FRP strip and the concrete substrate. Several studies, both experimental and theoretical were conducted to better understand the mechanical foundations and, thus, come up with effective technological solutions capable to avoid the so-called debonding failure between FRP and concrete. In this context, Externally Bonded Reinforcement on Grooves (EBROG) emerged as a convenient technology to enhance the bonding capacity of FRP strips glued on concrete. This paper summarizes the results obtained from three experimental tests carried out on 6-m-long RC slabs strengthened in bending by FRP strips glued according to either EBR or EBROG technique. Specifically, two slabs were strengthened by an EBROG FRP strip, which in one case was also prestressed before gluing. The experimental results demonstrate the higher capacity of EBROG with respect to the conventional EBR technique and some numerical analyses show that the observed mechanical behaviour can be easily interpreted by means of reasonably simple theoretical models., Paper 37
- Published
- 2023
- Full Text
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48. Cetuximab as third-line rechallenge plus either irinotecan or avelumab is an effective treatment in metastatic colorectal cancer patients with baseline plasma RAS/BRAF wild-type circulating tumor DNA: Individual patient data pooled analysis of CRICKET and CAVE trials
- Author
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Martini, G, Ciardiello, D, Famiglietti, V, Rossini, D, Antoniotti, C, Troiani, T, Napolitano, S, Esposito, L, Latiano, T P, Maiello, E, Del Re, M, Lonardi, S, Aprile, G, Santini, D, Masi, G, Avallone, A, Normanno, N, Pietrantonio, F, Pinto, C, Ciardiello, F, Cremolini, C, Martinelli, E, Martini, G, Ciardiello, D, Famiglietti, V, Rossini, D, Antoniotti, C, Troiani, T, Napolitano, S, Esposito, L, Latiano, T P, Maiello, E, Del Re, M, Lonardi, S, Aprile, G, Santini, D, Masi, G, Avallone, A, Normanno, N, Pietrantonio, F, Pinto, C, Ciardiello, F, Cremolini, C, and Martinelli, E
- Subjects
metastatic colorectal cancer ,cetuximab ,rechallenge ,immunotherapy - Abstract
The rechallenge strategy is based on the concept that a subset of patients with RAS wild-type (WT) metastatic colorectal cancer (mCRC) could still benefit of epidermal growth factor receptor (EGFR) inhibition, after progression to an anti-EGFR based-therapy. We performed a pooled analysis of two-phase II prospective trials to determine the role of rechallenge in third-line mCRC patients with RAS/BRAF WT baseline circulating tumor DNA (ctDNA). Individual data of 33 and 13 patients from CAVE and CRICKET trials that received as third-line therapy cetuximab rechallenge were collected. Overall survival (OS), Progression-free survival (PFS), Overall response rate (ORR), Stable disease (SD) > 6 months were calculated. Adverse events were reported. For the whole 46 patient population, median PFS (mPFS) was 3.9 months (95% Confidence Interval, CI 3.0-4.9) with median OS (mOS) of 16.9 months (95% CI 11.7-22.1). For CRICKET patients, mPFS was 3.9 months (95% CI 1.7-6.2); mOS was 13.1 months (95% CI 7.3-18.9) with OS rates at 12, 18, and 24 months of 62%, 23%, and 0%, respectively. For CAVE patients, mPFS was 4.1 months (95% CI 3.0-5.2); mOS was 18.6 months (95% CI 11.7-25.4) with OS rates at 12, 18, 24 months of 61%, 52%, 21%, respectively. Skin rash was more frequently reported in CAVE trial (87.9% vs. 30.8%; p = 0.001), whereas a increased incidence of hematological toxicities was observed in CRICKET trial (53.8%% vs. 12.1%; p = 0.003). Third-line cetuximab rechallenge in combination with either irinotecan or avelumab in RAS/BRAF WT ctDNA mCRC patients represents a promising therapy.
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- 2023
49. Whole-genome sequencing reveals host factors underlying critical COVID-19
- Author
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Kousathanas, A, Pairo-Castineira, E, Rawlik, K, Stuckey, A, Odhams, C, Walker, S, Russell, C, Malinauskas, T, Wu, Y, Millar, J, Shen, X, Elliott, K, Griffiths, F, Oosthuyzen, W, Morrice, K, Keating, S, Wang, B, Rhodes, D, Klaric, L, Zechner, M, Parkinson, N, Siddiq, A, Goddard, P, Donovan, S, Maslove, D, Nichol, A, Semple, M, Zainy, T, Maleady-Crowe, F, Todd, L, Salehi, S, Knight, J, Elgar, G, Chan, G, Arumugam, P, Patch, C, Rendon, A, Bentley, D, Kingsley, C, Kosmicki, J, Horowitz, J, Baras, A, Abecasis, G, Ferreira, M, Justice, A, Mirshahi, T, Oetjens, M, Rader, D, Ritchie, M, Verma, A, Fowler, T, Shankar-Hari, M, Summers, C, Hinds, C, Horby, P, Ling, L, Mcauley, D, Montgomery, H, Openshaw, P, Elliott, P, Walsh, T, Tenesa, A, Shelton, J, Shastri, A, Ye, C, Weldon, C, Filshtein-Sonmez, T, Coker, D, Symons, A, Esparza-Gordillo, J, Aslibekyan, S, Auton, A, Pathak, G, Karjalainen, J, Stevens, C, Andrews, S, Kanai, M, Cordioli, M, Polimanti, R, Pirinen, M, Harerimana, N, Veerapen, K, 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- Abstract
Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease.
- Published
- 2022
50. A first update on mapping the human genetic architecture of COVID-19
- Author
-
COVID-19 Host Genetics Initiative, Pathak, GA, Karjalainen, J, Stevens, C, Neale, BM, Daly, M, Ganna, A, Andrews, SJ, Kanai, M, Cordioli, M, Polimanti, R, Harerimana, N, Pirinen, M, Liao, RG, Chwialkowska, K, Trankiem, A, Balaconis, MK, Nguyen, H, Solomonson, M, Veerapen, K, Wolford, B, Roberts, G, Park, D, Ball, CA, Coignet, M, McCurdy, S, Knight, S, Partha, R, Rhead, B, Zhang, M, Berkowitz, N, Gaddis, M, Noto, K, Ruiz, L, Pavlovic, M, Hong, EL, Rand, K, Girshick, A, Guturu, H, Baltzell, AH, Niemi, MEK, Rahmouni, S, Guntz, J, Beguin, Y, Pigazzini, S, Nkambule, L, Georges, M, Moutschen, M, Misset, B, Darcis, G, Guiot, J, Azarzar, S, Gofflot, S, Claassen, S, Malaise, O, Huynen, P, Meuris, C, Thys, M, Jacques, J, Leonard, P, Frippiat, F, Giot, J-B, Sauvage, A-S, Frenckell, CV, Belhaj, Y, Lambermont, B, Nakanishi, T, Morrison, DR, Mooser, V, Richards, JB, Butler-Laporte, G, Forgetta, V, Li, R, Ghosh, B, Laurent, L, Belisle, A, Henry, D, Abdullah, T, Adeleye, O, Mamlouk, N, Kimchi, N, Afrasiabi, Z, Rezk, N, Vulesevic, B, Bouab, M, Guzman, C, Petitjean, L, Tselios, C, Xue, X, Afilalo, J, Afilalo, M, Oliveira, M, Brenner, B, Brassard, N, Durand, M, Schurr, E, Lepage, P, Ragoussis, J, Auld, D, Chassé, M, Kaufmann, DE, Lathrop, GM, Adra, D, Hayward, C, Glessner, JT, Shaw, DM, Campbell, A, Morris, M, Hakonarson, H, Porteous, DJ, Below, J, Richmond, A, Chang, X, Polikowski, H, Lauren, PE, Chen, H-H, Wanying, Z, Fawns-Ritchie, C, North, K, McCormick, JB, Glessner, JR, Gignoux, CR, Wicks, SJ, Crooks, K, Barnes, KC, Daya, M, Shortt, J, Rafaels, N, Chavan, S, Timmers, PRHJ, Wilson, JF, Tenesa, A, Kerr, SM, D’Mellow, K, Shahin, D, El-Sherbiny, YM, von Hohenstaufen, KA, Sobh, A, Eltoukhy, MM, Nkambul, L, Elhadidy, TA, Abd Elghafar, MS, El-Jawhari, JJ, Mohamed, AAS, Elnagdy, MH, Samir, A, Abdel-Aziz, M, Khafaga, WT, El-Lawaty, WM, Torky, MS, El-shanshory, MR, Yassen, AM, Hegazy, MAF, Okasha, K, Eid, MA, Moahmed, HS, Medina-Gomez, C, Ikram, MA, Uitterlinden, AG, Mägi, R, Milani, 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Susanna, Meloni, Ilaria, Mencarelli, Maria Antonietta, Rizzo, Caterina Lo, Pinto, Anna Maria, Beligni, Giada, Tommasi, Andrea, Sarno, Laura Di, Palmieri, Maria, Carriero, Miriam Lucia, Alaverdian, Diana, Busani, Stefano, Bruno, Raffaele, Vecchia, Marco, Belli, Mary Ann, Mantovani, Stefania, Ludovisi, Serena, Quiros-Roldan, Eugenia, Antoni, Melania Degli, Zanella, Isabella, Siano, Matteo, Emiliozzi, Arianna, Fabbiani, Massimiliano, Rossetti, Barbara, Bergantini, Laura, D’Alessandro, Miriana, Cameli, Paolo, Bennett, David, Anedda, Federico, Marcantonio, Simona, Scolletta, Sabino, Guerrini, Susanna, Conticini, Edoardo, Frediani, Bruno, Spertilli, Chiara, Donati, Alice, Guidelli, Luca, Corridi, Marta, Croci, Leonardo, Piacentini, Paolo, Desanctis, Elena, Cappelli, Silvia, Verzuri, Agnese, Anemoli, Valentina, Pancrazzi, Alessandro, Lorubbio, Maria, Miraglia, Federica Gaia, Venturelli, Sophie, Cossarizza, Andrea, Vergori, Alessandra, Gabrieli, Arianna, Riva, Agostino, Paciosi, Francesco, Andretta, Francesca, Gatti, Francesca, Parisi, Saverio Giuseppe, Baratti, Stefano, Piscopo, Carmelo, Russo, Roberta, Andolfo, Immacolata, Iolascon, Achille, Carella, Massimo, Merla, Giuseppe, Squeo, Gabriella Maria, Raggi, Pamela, Marciano, Carmen, Perna, Rita, Bassetti, Matteo, Sanguinetti, Maurizio, Giorli, Alessia, Salerni, Lorenzo, Parravicini, Pierpaolo, Menatti, Elisabetta, Trotta, Tullio, Coiro, Gabriella, Lena, Fabio, Martinelli, Enrico, Mancarella, Sandro, Gabbi, Chiara, Maggiolo, Franco, Ripamonti, Diego, Bachetti, Tiziana, Suardi, Claudia, Parati, Gianfranco, Bottà, Giordano, Domenico, Paolo Di, Rancan, Ilaria, Bianchi, Francesco, Colombo, Riccardo, Barbieri, Chiara, Acquilini, Donatella, Andreucci, Elena, Segala, Francesco Vladimiro, Tiseo, Giusy, Falcone, Marco, Lista, Mirjam, Poscente, Monica, Vivo, Oreste De, Petrocelli, Paola, Guarnaccia, Alessandra, Baroni, Silvia, van Heel, David A., Hunt, Karen A., Trembath, Richard C., Huang, Qin Qin, Martin, Hilary C., Mason, Dan, 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Vorasuk, Pongpanich, Monnat, Phokaew, Chureerat, Chetruengchai, Wanna, Putchareon, Opa, Torvorapanit, Pattama, Puthanakit, Thanyawee, Suchartlikitwong, Pintip, Nilaratanakul, Voraphoj, Sodsai, Pimpayao, Brumpton, Ben M., Hveem, Kristian, Willer, Cristen, Zhou, Wei, Rogne, Tormod, Solligard, Erik, Åsvold, Bjørn Olav, Franke, Lude, Boezen, Marike, Deelen, Patrick, Claringbould, Annique, Lopera, Esteban, Warmerdam, Robert, Vonk, Judith. M., van Blokland, Irene, Lanting, Pauline, Ori, Anil P. S., Feng, Yen-Chen Anne, Mercader, Josep, Weiss, Scott T., Karlson, Elizabeth W., Smoller, Jordan W., Murphy, Shawn N., Meigs, James B., Woolley, Ann E., Green, Robert C., Perez, Emma F., Zöllner, Sebastian, Wang, Jiongming, Beck, Andrew, Sloofman, Laura G., Ascolillo, Steven, Sebra, Robert P., Collins, Brett L., Levy, Te, Buxbaum, Joseph D., Sealfon, Stuart C., Jordan, Daniel M., Thompson, Ryan C., Gettler, Kyle, Chaudhary, Kumardeep, Belbin, Gillian M., Preuss, Michael, Hoggart, Clive, Choi, Sam, Underwood, Slayton J., Salib, Irene, Britvan, Bari, Keller, Katherine, Tang, Lara, Peruggia, Michael, Hiester, Liam L., Niblo, Kristi, Aksentijevich, Alexandra, Labkowsky, Alexander, Karp, Avromie, Zlatopolsky, Menachem, Zyndorf, Marissa, Charney, Alexander W., Beckmann, Noam D., Schadt, Eric E., Abul-Husn, Noura S., Cho, Judy H., Itan, Yuval, Kenny, Eimear E., Loos, Ruth J. F., Nadkarni, Girish N., Do, Ron, O’Reilly, Paul, Huckins, Laura M., Ferreira, Manuel A. R., Abecasis, Goncalo R., Leader, Joseph B., Cantor, Michael N., Justice, Anne E., Carey, Dave J., Chittoor, Geetha, Josyula, Navya Shilpa, Kosmicki, Jack A., Horowitz, Julie E., Baras, Ari, Gass, Matthew C., Yadav, Ashish, Mirshahi, Tooraj, Hottenga, Jouke Jan, Bartels, Meike, de geus, Eco E. J. C., Nivard, Michel M. G., Verma, Anurag, Ritchie, Marylyn D., Rader, Daniel, Li, Binglan, Verma, Shefali S., Lucas, Anastasia, Bradford, Yuki, Abedalthagafi, Malak, Alaamery, Manal, Alshareef, Abdulraheem, Sawaji, Mona, Massadeh, Salam, AlMalik, Abdulaziz, Alqahtani, Saleh, Baraka, Dona, Harthi, Fawz Al, Alsolm, Ebtehal, Safieh, Leen Abu, Alowayn, Albandary M., Alqubaishi, Fatimah, Mutairi, Amal Al, Mangul, Serghei, Almutairi, Mansour, Aljawini, Nora, Albesher, Nour, Arabi, Yaseen M., Mahmoud, Ebrahim S., Khattab, Amin K., Halawani, Roaa T., Alahmadey, Ziab Z., Albakri, Jehad K., Felemban, Walaa A., Suliman, Bandar A., Hasanato, Rana, Al-Awdah, Laila, Alghamdi, Jahad, AlZahrani, Deema, AlJohani, Sameera, Al-Afghani, Hani, AlDhawi, Nouf, AlBardis, Hadeel, Alkwai, Sarah, Alswailm, Moneera, Almalki, Faisal, Albeladi, Maha, Almohammed, Iman, Barhoush, Eman, Albader, Anoud, Alotaibi, Sara, Alghamdi, Bader, Jung, Junghyun, fawzy, Mohammad S., Alrashed, May, Zeberg, Hugo, Nkambul, Lindo, Frithiof, Robert, Hultström, Michael, Lipcsey, Miklo, Tardif, Nicola, Rooyackers, Olav, Grip, Jonathan, Maricic, Tomislav, Helgeland, Øyvind, Magnus, Per, Trogstad, Lill-Iren S., Lee, Yunsung, Harris, Jennifer R., Mangino, Massimo, Spector, Tim D., Emma, Duncan, Moutsianas, Louka, Caulfield, Mark J., Scott, Richard H., Kousathanas, Athanasio, Pasko, Dorota, Walker, Susan, Stuckey, Alex, Odhams, Christopher A., Rhodes, Daniel, Fowler, Tom, Rendon, Augusto, Chan, Georgia, Arumugam, Prabhu, Karczewski, Konrad J., Martin, Alicia R., Wilson, Daniel J., Spencer, Chris C. A., Crook, Derrick W., Wyllie, David H., O’Connell, Anne Marie, Atkinson, Elizabeth G., Tsuo, Kristin, Baya, Nikola, Turley, Patrick, Gupta, Rahul, Walters, Raymond K., Palmer, Duncan S., Sarma, Gopal, Cheng, Nathan, Lu, Wenhan, Churchhouse, Claire, Goldstein, Jacqueline I., King, Daniel, Seed, Cotton, Daly, Mark J., Finucane, Hilary, Bryant, Sam, Satterstrom, F. Kyle, Band, Gavin, Earle, Sarah G., Lin, Shang-Kuan, Arning, Nicola, Koelling, Nil, Armstrong, Jacob, Rudkin, Justine K., Callier, Shawneequa, Cusick, Caroline, Soranzo, Nicole, Zhao, Jing Hua, Danesh, John, Angelantonio, Emanuele Di, Butterworth, Adam S., Sun, Yan V., Huffman, Jennifer E., Cho, Kelly, O’Donnell, Christopher J., Tsao, Phil, Gaziano, J. Michael, Peloso, Gina, Ho, Yuk-Lam, Smieszek, Sandra P., Polymeropoulos, Christo, Polymeropoulos, Vasilio, Polymeropoulos, Mihael H., Przychodzen, Bartlomiej P., Fernandez-Cadenas, Israel, Planas, Anna M., Perez-Tur, Jordi, Llucià-Carol, Laia, Cullell, Natalia, Muiño, Elena, Cárcel-Márquez, Jara, DeDiego, Marta L., Iglesias, Lara Lloret, Soriano, Alex, Rico, Veronica, Agüero, Daiana, Bedini, Josep L., Lozano, Francisco, Domingo, Carlo, Robles, Veronica, Ruiz-Jaén, Francisca, Márquez, Leonardo, Gomez, Juan, Coto, Eliecer, Albaiceta, Guillermo M., García-Clemente, Marta, Dalmau, David, Arranz, Maria J., Dietl, Beatriz, Serra-Llovich, Alex, Soler, Pere, Colobrán, Roger, Martín-Nalda, Andrea, Martínez, Alba Parra, Bernardo, David, Rojo, Silvia, Fiz-López, Aida, Arribas, Elisa, de la Cal-Sabater, Paloma, Segura, Tomá, González-Villa, Esther, Serrano-Heras, Gemma, Martí-Fàbregas, Joan, Jiménez-Xarrié, Elena, de Felipe Mimbrera, Alicia, Masjuan, Jaime, García-Madrona, Sebastian, Domínguez-Mayoral, Anna, Villalonga, Joan Montaner, Menéndez-Valladares, Paloma, Chasman, Daniel I., Sesso, Howard D., Manson, JoAnn E., Buring, Julie E., Ridker, Paul M., Franco, Giulianini, Davis, Lea, Lee, Sulggi, Priest, Jame, Sankaran, Vijay G., van Heel, David, Biesecker, Le, Kerchberger, V. Eric, Baillie, J. Kenneth, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Biological Psychology, APH - Mental Health, AMS - Sports, AMS - Ageing & Vitality, APH - Methodology, Mccurdy, Shannon, Mccormick, Joseph B., Macarthur, Daniel, Maclaughlin, Bev, Lefaive, Jonathon, Almalik, Abdulaziz, Alzahrani, Deema, Aljohani, Sameera, Aldhawi, Nouf, Albardis, Hadeel, Fawzy, Mohammad S., Dediego, Marta L., Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), University of Zurich, COVID-19 Host Genetics Initiative, Barcelona Supercomputing Center, COVID-19 Genetics Initiative, including authors, Institute for Molecular Medicine Finland, and Data Science Genetic Epidemiology Lab
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Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC] ,Quantitative Trait Loci ,MUC5B PROMOTER POLYMORPHISM ,Genome-wide association studies ,COVID-19 (Malaltia) ,UFSP13-7 Evolution in Action: From Genomes to Ecosystems ,COVID-19 (Disease) ,Settore BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,SDG 3 - Good Health and Well-being ,Humans ,genetics ,Genetic variation ,Genomes ,Medicinsk genetik ,1000 Multidisciplinary ,Multidisciplinary ,Chromosome Mapping ,COVID-19 ,Human Genetics ,10124 Institute of Molecular Life Sciences ,covid-19 ,3121 General medicine, internal medicine and other clinical medicine ,570 Life sciences ,biology ,Medical Genetics - Abstract
Matters arising from: Mapping the human genetic architecture of COVID-19 Original Article published on 08 July 2021 https://www.nature.com/articles/s41586-021-03767-x The COVID-19 pandemic continues to pose a major public health threat, especially in countries with low vaccination rates. To better understand the biological underpinnings of SARS-CoV-2 infection and COVID-19 severity, we formed the COVID-19 Host Genetics Initiative1. Here we present a genome-wide association study meta-analysis of up to 125,584 cases and over 2.5 million control individuals across 60 studies from 25 countries, adding 11 genome-wide significant loci compared with those previously identified2. Genes at new loci, including SFTPD, MUC5B and ACE2, reveal compelling insights regarding disease susceptibility and severity. Here we present meta-analyses bringing together 60 studies from 25 countries (Fig. 1 and Supplementary Table 1) for three COVID-19-related phenotypes: (1) individuals critically ill with COVID-19 on the basis of requiring respiratory support in hospital or who died as a consequence of the disease (9,376 cases, of which 3,197 are new in this data release, and 1,776,645 control individuals); (2) individuals with moderate or severe COVID-19 defined as those hospitalized due to symptoms associated with the infection (25,027 cases, 11,386 new and 2,836,272 control individuals); and (3) all cases with reported SARS-CoV-2 infection regardless of symptoms (125,584 cases, 76,022 new and 2,575,347 control individuals). Most studies have reported results before the roll out of the COVID-19 vaccination campaign. An overview of the study design is provided in Supplementary Fig. 1. We found a total of 23 genome-wide significant loci (P
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- 2022
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