Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning by Krachman, Joshua A, Patricoski, Jessica A, Le, Christopher T, Park, Jina, Zhang, Ruijing, Gong, Kirby D, Gangan, Indranuj, Winslow, Raimond L, Greenstein, Joseph L, Fackler, James, Sochet, Anthony A, Bergmann, Jules P

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Predicting Intensive Care Delirium with Machine Learning: Model Development and External Validation by Gong, Kirby D., Lu, Ryan, Bergamaschi, Teya S., Sanyal, Akaash, Guo, Joanna, Kim, Han B., Nguyen, Hieu T., Greenstein, Joseph L., Winslow, Raimond L., Stevens, Robert D.

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Predicting Intensive Care Delirium with Machine Learning: Model Development and External Validation by Gong, Kirby D., Lu, Ryan, Bergamaschi, Teya S., Sanyal, Akaash, Guo, Joanna, Kim, Han B., Nguyen, Hieu T., Greenstein, Joseph L., Winslow, Raimond L., Stevens, Robert D.

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The High Luminosity LHC interaction region magnets towards series production by Todesco, E, Bajas, H, Bajko, M, Ballarino, A, Bermudez, S Izquierdo, Bordini, B, Bottura, L, De Rijk, G, Devred, A, Duarte Ramos, D, Duda, M, Ferracin, P, Fessia, P, Fleiter, J, Fiscarelli, L, Foussat, A, Kirby, G, Mangiarotti, F, Mentink, M, Milanese, A, Musso, A, Parma, V, Perez, J C, Prin, H, Rossi, L, Russenschuck, S, Willering, G, Enomoto, S, Nakamoto, T, Kimura, N, Ogitsu, T, Sugano, M, Suzuki, K, Wei, S, Gong, L, Wang, J, Peng, Q, Xu, Q, Bersani, A, Caiffi, B, Fabbricatore, P, Farinon, S, Pampaloni, A, Mariotto, S, Prioli, M, Sorbi, M, Statera, M, Garcia Matos, J, Toral, F, Ambrosio, G, Apollinari, G, Baldini, M, Carcagno, R, Feher, S, Stoynev, S, Chlachidze, G, Marinozzi, V, Lombardo, V, Nobrega, F, Strauss, T, Yu, M, Anerella, M, Amm, K, Joshi, P, Muratore, J, Schmalzle, J, Wanderer, P, Chen, D, Gourlay, S, Pong, I, Prestemon, S, Sabbi, G L, Cooley, L, Felice, H

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The High Luminosity LHC interaction region magnets towards series production by Todesco, E., Bajas, H., Bajko, M., Ballarino, A., Bermudez, S. Izquierdo, Bordini, B., Bottura, L., De Rijk, G., Devred, A., Duarte Ramos, D., Duda, M., Ferracin, P., Fessia, P., Fleiter, J., Fiscarelli, L., Foussat, A., Kirby, G., Mangiarotti, F., Mentink, M., Milanese, A., Musso, A., Parma, V., Perez, J. C., Prin, H., Rossi, L., Russenschuck, S., Willering, G., Enomoto, S., Nakamoto, T., Kimura, N., Ogitsu, T., Sugano, M., Suzuki, K., Wei, S., Gong, L., Wang, J., Peng, Q., Xu, Q., Bersani, A., Caiffi, B., Fabbricatore, P., Farinon, S., Pampaloni, A., Mariotto, S., Prioli, M., Sorbi, M., Statera, M., Garcia Matos, J., Toral, F., Ambrosio, G., Apollinari, G., Baldini, M., Carcagno, R., Feher, S., Stoynev, S., Chlachidze, G., Marinozzi, V., Lombardo, V., Nobrega, F., Strauss, T., Yu, M., Anerella, M., Amm, K., Joshi, P., Muratore, J., Schmalzle, J., Wanderer, P., Chen, D., Gourlay, S., Pong, I., Prestemon, S., Sabbi, G. L., Cooley, L., Felice, H.

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