Controlling the Scholl Reaction von King, Benjamin T, Kroulík, Jiří, Robertson, Charles R, Rempala, Pawel, Hilton, Cameron L, Korinek, Justin D, Gortari, Lisa M

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Reducing Levels of Toxic RNA with Small Molecules von Coonrod, Leslie A, Nakamori, Masayuki, Wang, Wenli, Carrell, Samuel, Hilton, Cameron L, Bodner, Micah J, Siboni, Ruth B, Docter, Aaron G, Haley, Michael M, Thornton, Charles A, Berglund, J. Andrew

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A Triphenylene-Based Triptycene with Large Free Volume Synthesized by Zirconium-Mediated Biphenylation von Hilton, Cameron L, Jamison, Christopher R, Zane, Hannah K, King, Benjamin T

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Rearrangements in the Scholl oxidation: implications for molecular architectures von Ormsby, Jason L., Black, Tessa D., Hilton, Cameron L., Bharat, King, Benjamin T.

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18,18′-Dihexyl[9,9′]biphenanthro[9,10-b]triphenylene: Construction and Consequences of a Profoundly Hindered Aryl−Aryl Single Bond von Hilton, Cameron L, Crowfoot, Jeremy M, Rempala, Pawel, King, Benjamin T

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Four Homologous Zirconium 2,2‘-Biphenyldiyls:  Synthesis, Structure, and Reactivity von Hilton, Cameron L, King, Benjamin T

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Uncatalyzed Zirconium-Mediated Biphenylation of o-Dihalobenzenes To Form Triphenylenes von Hilton, Cameron L, Jamison, Christopher R, King, Benjamin T

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A personalized prediction model for hospital readmission risk for cancer patients von Shreve, Jacob Tyler, Lee, Sarah, Felix, Christina, Benish Shirley, Rachel, Hilton, Cameron Beau, Radakovich, Nathan, Stevenson, James, Montero, Alberto J., Nazha, Aziz

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Genotype-Phenotype Correlations in Patients with Myeloid Malignancies Using Explainable Artificial Intelligence von Radakovich, Nathan, Malcovati, Luca, Meggendorfer, Manja, Sekeres, Mikkael A., Shreve, Jacob, Hilton, Cameron Beau, Rouphail, Yazan, Walter, Wencke, Hutter, Stephan, Gallì, Anna, Pozzi, Sarah, Gerds, Aaron T., Mukherjee, Sudipto, Kerr, Cassandra M, Jha, Babal K., Haferlach, Claudia, Maciejewski, Jaroslaw P., Haferlach, Torsten, Nazha, Aziz

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A Personalized Clinical-Decision Tool to Improve the Diagnostic Accuracy of Myelodysplastic Syndromes von Radakovich, Nathan, Meggendorfer, Manja, Malcovati, Luca, Sekeres, Mikkael A., Shreve, Jacob, Hilton, Cameron Beau, Rouphail, Yazan, Walter, Wencke, Hutter, Stephan, Mukherjee, Sudipto, Kerr, Cassandra M., Jha, Babal K., Gallì, Anna, Pozzi, Sarah, Gerds, Aaron T., Haferlach, Claudia, Maciejewski, Jaroslaw P., Haferlach, Torsten, Nazha, Aziz

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Admissions for neutropenic fever in myelodysplastic syndromes (MDS) von Ali, Ambreen Fatima, Gerds, Aaron Thomas, Advani, Anjali S., Mukherjee, Sudipto, Sobecks, Ronald M., Sekeres, Mikkael A., Hamilton, Betty Ky, Jha, Babal, Hilton, Cameron Beau, Kerr, Cassandra M., Adema, Vera, Waldron, Madeline, Siebenaller, Caitlin, Nagata, Yasunobu, Maciejewski, Jaroslaw P., Nazha, Aziz

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Geno-Clinical Model for the Diagnosis of Bone Marrow Myeloid Neoplasms von Hilton, Cameron Beau, Meggendorfer, Manja, Sekeres, Mikkael A., Shreve, Jacob, Radakovich, Nathan, Rouphail, Yazan, Walter, Wencke, Hutter, Stephan, Padron, Eric, Savona, Michael R., Gerds, Aaron T., Mukherjee, Sudipto, Smith, Brianna N, Nagata, Yasunobu, Hirsch, Cassandra M., Komrokji, Rami S., Jha, Babal K., Haferlach, Claudia, Maciejewski, Jaroslaw P., Haferlach, Torsten, Nazha, Aziz

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A Personalized Prediction Model to Risk Stratify Patients with Acute Myeloid Leukemia (AML) Using Artificial Intelligence von Shreve, Jacob, Meggendorfer, Manja, Awada, Hassan, Mukherjee, Sudipto, Walter, Wencke, Hutter, Stephan, Makhoul, Ahed, Hilton, Cameron Beau, Radakovich, Nathan, Nagata, Yasunobu, Rouphail, Yazan, Adema, Vera, Kerr, Cassandra M, Patel, Bhumika J., Kuzmanovic, Teodora, Maciejewski, Jaroslaw P., Haferlach, Claudia, Sekeres, Mikkael A., Haferlach, Torsten, Nazha, Aziz

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Predicting Response to Hypomethylating Agents in Patients with Myelodysplastic Syndromes (MDS) Using Artificial Intelligence (AI) von Radakovich, Nathan, Sekeres, Mikkael A., Hilton, Cameron Beau, Mukherjee, Sudipto, Shreve, Jacob, Rouphail, Yazan, Shirley, Rachel, Adema, Vera, Awada, Hassan, Advani, Anjali S., Kerr, Cassandra M, Nagata, Yasunobu, Guan, Yihong, Kuzmanovic, Teodora, Hasipek, Metis, Jha, Babal K., Maciejewski, Jaroslaw P., Nazha, Aziz

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Ship classification from overhead imagery using synthetic data and domain adaptation von Ward, Chris M, Harguess, Josh, Hilton, Cameron

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Precursor compositions for a protective article, protective articles comprising a reaction product of the precursor composition, related aerospace structures, and related methods von Armentrout, Matthew, Stone, Steven F, Deemer, Christopher, Hilton, Cameron, Barber, Brian, Garcia, Benjamin W. C

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Ship classification from overhead imagery using synthetic data and domain adaptation von Ward, Chris M, Harguess, Josh, Hilton, Cameron

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PRECURSOR COMPOSITIONS FOR A PROTECTIVE ARTICLE, PROTECTIVE ARTICLES COMPRISING A REACTION PRODUCT OF THE PRECURSOR COMPOSITION, RELATED AEROSPACE STRUCTURES, AND RELATED METHODS von STONE, Steven F, ARMENTROUT, Matthew, GARCIA, Benjamin W.C, DEEMER, Christopher, HILTON, Cameron, BARBER, Brian

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PRECURSOR COMPOSITIONS FOR A PROTECTIVE ARTICLE, PROTECTIVE ARTICLES COMPRISING A REACTION PRODUCT OF THE PRECURSOR COMPOSITION, RELATED AEROSPACE STRUCTURES, AND RELATED METHODS von STONE, Steven F, ARMENTROUT, Matthew, GARCIA, Benjamin W.C, DEEMER, Christopher, HILTON, Cameron

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PRECURSOR COMPOSITIONS FOR A PROTECTIVE ARTICLE, PROTECTIVE ARTICLES COMPRISING A REACTION PRODUCT OF THE PRECURSOR COMPOSITION, RELATED AEROSPACE STRUCTURES, AND RELATED METHODS von Armentrout, Matthew, Stone, Steven F, Deemer, Christopher, Hilton, Cameron, Garcia, Benjamin W.C

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