Torsades de pointes in the PACU after outpatient endoscopy: a case report von Schaar, Andrew, Liu, Mark, Patzkowski, Michael

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A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty von Devana, Sai K., Shah, Akash A., Lee, Changhee, Roney, Andrew R., van der Schaar, Mihaela, SooHoo, Nelson F.

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Prediction of osteoarthritis progression using machine learning: a systematic literature review von Castagno, Simone, Gompels, Benjamin, Strangmark, Estelle, Robertson-Waters, Eve, Birch, Mark, Schaar, Mihaela van der, McCaskie, Andrew

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Human AdV-20-42-42, a Promising Novel Adenoviral Vector for Gene Therapy and Vaccine Product Development von Ballmann, Mónika Z, Raus, Svjetlana, Engelhart, Ruben, Kaján, Győző L, Beqqali, Abdelaziz, Hadoke, Patrick W F, van der Zalm, Chantal, Papp, Tibor, John, Lijo, Khan, Selina, Boedhoe, Satish, Danskog, Katarina, Frängsmyr, Lars, Custers, Jerome, Bakker, Wilfried A M, van der Schaar, Hilde M, Arnberg, Niklas, Lemckert, Angelique A C, Havenga, Menzo, Baker, Andrew H

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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements von Devana, Sai K, Shah, Akash A, Lee, Changhee, Jensen, Andrew R, Cheung, Edward, van der Schaar, Mihaela, SooHoo, Nelson F

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Checkpoint inhibitor immunotherapy during pregnancy for relapsed–refractory Hodgkin lymphoma von Evens, Andrew M., Brandt, Justin S., Peer, Cody J., Yin, Tyler, Schaar, Dale, Farooq, Faheem, Mozarsky, Brett, Figg, William D., Sharon, Elad

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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty von Devana, Sai K., Shah, Akash A., Lee, Changhee, Gudapati, Varun, Jensen, Andrew R., Cheung, Edward, Solorzano, Carlos, van der Schaar, Mihaela, SooHoo, Nelson F.

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Noninvasive detection of subclinical coronary atherosclerosis coupled with assessment of changes in plaque characteristics using novel invasive imaging modalities : The integrated... von VAN MIEGHEM, Carlos A. G, MCFADDEN, Eugène P, VALGIMIGLI, Marco, MASTIK, Frits, VAN DER STEEN, Anton F, VAN DER GIESSEN, Willem J, SIANOS, Georgios, BACKX, Bianca, MOREL, Marie-Angèle M, VAN ES, Gerrit-Anne, ZALEWSKI, Andrew, SERRUYS, Patrick W, DE FEYTER, Pim J, BRUINING, Nico, SCHAAR, Johannes A, MOLLET, Nico R, CADEMARTIRI, Filippo, GOEDHART, Dick, DE WINTER, Sebastiaan, RODRIGUEZ GRANILLO, Gaston

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Noninvasive Detection of Subclinical Coronary Atherosclerosis Coupled With Assessment of Changes in Plaque Characteristics Using Novel Invasive Imaging Modalities von Van Mieghem, Carlos A.G., McFadden, Eugène P., de Feyter, Pim J., Bruining, Nico, Schaar, Johannes A., Mollet, Nico R., Cademartiri, Filippo, Goedhart, Dick, de Winter, Sebastiaan, Granillo, Gaston Rodriguez, Valgimigli, Marco, Mastik, Frits, van der Steen, Anton F., van der Giessen, Willem J., Sianos, Georgios, Backx, Bianca, Morel, Marie-Angèle M., van Es, Gerrit-Anne, Zalewski, Andrew, Serruys, Patrick W.

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The EMSO Generic Instrument Module (EGIM): Standardized and Interoperable Instrumentation for Ocean Observation von Lantéri, Nadine, Ruhl, Henry A., Gates, Andrew, Martínez, Enoc, del Rio Fernandez, Joaquin, Aguzzi, Jacopo, Cannat, Mathilde, Delory, Eric, Embriaco, Davide, Huber, Robert, Matabos, Marjolaine, Petihakis, George, Reilly, Kieran, Rolin, Jean-François, van der Schaar, Mike, André, Michel, Blandin, Jérôme, Cianca, Andrés, Francescangeli, Marco, Garcia, Oscar, Hartman, Susan, Lagadec, Jean-Romain, Legrand, Julien, Pagonis, Paris, Piera, Jaume, Remirez, Xabier, Toma, Daniel M., Marinaro, Giuditta, Moreau, Bertrand, Santana, Raul, Wright, Hannah, Dañobeitia, Juan José, Favali, Paolo

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Migratory vertebrates shift migration timing and distributions in a warming Arctic von Lameris, Thomas K., Hoekendijk, Jeroen, Aarts, Geert, Aarts, Aline, Allen, Andrew M., Bienfait, Louise, Bijleveld, Allert I., Bongers, Morten F., Brasseur, Sophie, Chan, Ying-Chi, de Ferrante, Frits, de Gelder, Jesse, Derksen, Hilmar, Dijkgraaf, Lisa, Dijkhuis, Laurens R., Dijkstra, Sanne, Elbertsen, Gert, Ernsten, Roosmarijn, Foxen, Tessa, Gaarenstroom, Jari, Gelhausen, Anna, van Gils, Jan A., Grosscurt, Sebastiaan, Grundlehner, Anne, Hertlein, Marit L., van Heumen, Anouk J.P., Heurman, Moniek, Huffeldt, Nicholas Per, Hutter, Willemijn H., Kamstra, Ynze J. J., Keij, Femke, van Kempen, Susanne, Keurntjes, Gabi, Knap, Harmen, Loonstra, A.H. Jelle, Nolet, Bart A., Nuijten, Rascha J.M., Mattijssen, Djan, Oosterhoff, Hanna, Paarlberg, Nienke, Parekh, Malou, Pattyn, Jef, Polak, Celeste, Quist, Yordi, Ras, Susan, Reneerkens, Jeroen, Ruth, Saskia, van der Schaar, Evelien, Schroen, Geert, Spikman, Fanny, van Velzen, Joyce, Voorn, Ezra, Vos, Janneke, Wang, Danyang, Westdijk, Wilson, Wind, Marco, Zhemchuzhnikov, Mikhail K., van Langevelde, Frank

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Predicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease von Castagno, Simone, Birch, Mark, van der Schaar, Mihaela, McCaskie, Andrew

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Understanding the role of machine learning in predicting progression of osteoarthritis von Castagno, Simone, Gompels, Benjamin, Strangmark, Estelle, Robertson-Waters, Eve, Birch, Mark, van der Schaar, Mihaela, McCaskie, Andrew W

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Rationale and methods of the integrated biomarker and imaging study (IBIS): combining invasive and non-invasive imaging with biomarkers to detect subclinical atherosclerosis and as... von Van Mieghem, Carlos A G, Bruining, Nico, Schaar, Johannes A, McFadden, Eugene, Mollet, Nico, Cademartiri, Filippo, Mastik, Frits, Ligthart, Jurgen M R, Granillo, Gaston A Rodriguez, Valgimigli, Marco, Sianos, Georgios, van der Giessen, Willem J, Backx, Bianca, Morel, Marie-Angele M, Van Es, Gerrit-Anne, Sawyer, Jonathon D, Kaplow, June, Zalewski, Andrew, van der Steen, Anton F W, de Feyter, Pim, Serruys, Patrick W

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Personalized Education in the AI Era: What to Expect Next? von Maghsudi, Setareh, Lan, Andrew, Xu, Jie, van der Schaar, Mihaela

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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements von Devana, Sai K, Shah, Akash A, Lee, Changhee, Jensen, Andrew R, Cheung, Edward, van der Schaar, Mihaela, SooHoo, Nelson F

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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements von Devana, Sai K, Shah, Akash A, Lee, Changhee, Jensen, Andrew R, Cheung, Edward, van der Schaar, Mihaela, SooHoo, Nelson F

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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty von Devana, Sai K, Shah, Akash A, Lee, Changhee, Gudapati, Varun, Jensen, Andrew R, Cheung, Edward, Solorzano, Carlos, van der Schaar, Mihaela, SooHoo, Nelson F

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Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty von Devana, Sai K, Shah, Akash A, Lee, Changhee, Gudapati, Varun, Jensen, Andrew R, Cheung, Edward, Solorzano, Carlos, van der Schaar, Mihaela, SooHoo, Nelson F

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