Spontaneous reperfusion in STEMI: Its mechanisms and possible modulation von Leader, Joshua H, Kanji, Rahim, Gorog, Diana A

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Myocardial Extracellular Volume Estimation by CMR Predicts Functional Recovery Following Acute MI von Kidambi, Ananth, BMBCh, PhD, Motwani, Manish, MBChB, Uddin, Akhlaque, MBChB, Ripley, David P., MBChB, McDiarmid, Adam K., MBChB, Swoboda, Peter P., MBChB, Broadbent, David A., MSc, Musa, Tarique Al, MBChB, Erhayiem, Bara, MBChB, Leader, Joshua, BSc, Croisille, Pierre, MD, PhD, Clarysse, Patrick, MSc, Greenwood, John P., MBChB, PhD, Plein, Sven, MD, PhD

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Measuring Thrombus Stability at High Shear, Together With Thrombus Formation and Endogenous Fibrinolysis: First Experience Using the Global Thrombosis Test 3 (GTT-3) von Kanji, Rahim, Leader, Joshua, Memtsas, Vassilios, Gorog, Diana A

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New Federal Rule of Evidence Rule 702: A Circuit-by-Circuit Guide to Overruled "Wayward Caselaw" von Lasker, Eric, Leader, Joshua

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The Second Circuit von Leader, Joshua K, Brother, Melanie, Hersh, Ryan, Fitzmaurice, Patrick

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Protective orders and discovery sharing: beware of plaintiffs bearing sharing agreements von Leader, Joshua K, Koo, Gloria

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125Myocardial Extracellular Volume Estimation by Cardiovascular Magnetic Resonance Predicts Functional Recovery Following Acute Myocardial Infarction von Kidambi, Ananth, Motwani, Manish, Uddin, Akhlaque, Ripley, David P, McDiarmid, Adam K, Swoboda, Peter P, Broadbent, David A, Musa, Tarique A, Erhayiem, Bara, Leader, Joshua, Greenwood, John P, Plein, Sven

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125 Myocardial Extracellular Volume Estimation by Cardiovascular Magnetic Resonance Predicts Functional Recovery Following Acute Myocardial Infarction von Kidambi, Ananth, Motwani, Manish, Uddin, Akhlaque, Ripley, David P, McDiarmid, Adam K, Swoboda, Peter P, Broadbent, David A, Musa, Tarique A, Erhayiem, Bara, Leader, Joshua, Greenwood, John P, Plein, Sven

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Exome sequencing and characterization of 49,960 individuals in the UK Biobank von Van Hout, Cristopher V., Tachmazidou, Ioanna, Backman, Joshua D., Hoffman, Joshua D., Liu, Daren, Pandey, Ashutosh K., Gonzaga-Jauregui, Claudia, Khalid, Shareef, Ye, Bin, Banerjee, Nilanjana, Li, Alexander H., O’Dushlaine, Colm, Marcketta, Anthony, Staples, Jeffrey, Schurmann, Claudia, Hawes, Alicia, Maxwell, Evan, Barnard, Leland, Lopez, Alexander, Penn, John, Habegger, Lukas, Blumenfeld, Andrew L., Bai, Xiaodong, O’Keeffe, Sean, Yadav, Ashish, Praveen, Kavita, Jones, Marcus, Salerno, William J., Chung, Wendy K., Surakka, Ida, Willer, Cristen J., Hveem, Kristian, Leader, Joseph B., Carey, David J., Ledbetter, David H., Cardon, Lon, Yancopoulos, George D., Economides, Aris, Coppola, Giovanni, Shuldiner, Alan R., Balasubramanian, Suganthi, Cantor, Michael, Nelson, Matthew R., Whittaker, John, Reid, Jeffrey G., Marchini, Jonathan, Overton, John D., Scott, Robert A., Abecasis, Gonçalo R., Yerges-Armstrong, Laura, Baras, Aris

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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network von Raghunath, Sushravya, Ulloa Cerna, Alvaro E., Jing, Linyuan, vanMaanen, David P., Stough, Joshua, Hartzel, Dustin N., Leader, Joseph B., Kirchner, H. Lester, Stumpe, Martin C., Hafez, Ashraf, Nemani, Arun, Carbonati, Tanner, Johnson, Kipp W., Young, Katelyn, Good, Christopher W., Pfeifer, John M., Patel, Aalpen A., Delisle, Brian P., Alsaid, Amro, Beer, Dominik, Haggerty, Christopher M., Fornwalt, Brandon K.

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Single-Cell Analysis of Crohn’s Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy von Martin, Jerome C., Chang, Christie, Boschetti, Gilles, Ungaro, Ryan, Giri, Mamta, Grout, John A., Gettler, Kyle, Chuang, Ling-shiang, Nayar, Shikha, Greenstein, Alexander J., Dubinsky, Marla, Walker, Laura, Leader, Andrew, Fine, Jay S., Whitehurst, Charles E., Mbow, M Lamine, Kugathasan, Subra, Denson, Lee A., Hyams, Jeffrey S., Friedman, Joshua R., Desai, Prerak T., Ko, Huaibin M., Laface, Ilaria, Akturk, Guray, Schadt, Eric E., Salmon, Helene, Gnjatic, Sacha, Rahman, Adeeb H., Merad, Miriam, Cho, Judy H., Kenigsberg, Ephraim

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A Machine Learning Approach to Management of Heart Failure Populations von Jing, Linyuan, Ulloa Cerna, Alvaro E., Good, Christopher W., Sauers, Nathan M., Schneider, Gargi, Hartzel, Dustin N., Leader, Joseph B., Kirchner, H. Lester, Hu, Yirui, Riviello, David M., Stough, Joshua V., Gazes, Seth, Haggerty, Allyson, Raghunath, Sushravya, Carry, Brendan J., Haggerty, Christopher M., Fornwalt, Brandon K.

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Good Studies Evaluate the Disease While Great Studies Evaluate the Patient: Development and Application of a Desirability of Outcome Ranking Endpoint for Staphylococcus aureus Bloo... von Doernberg, Sarah B., Tran, Thuy Tien Tram, Tong, Steven Y. C., Paul, Mical, Yahav, Dafna, Davis, Joshua S., Leibovici, Leonard, Boucher, Helen W., Corey, G. Ralph, Cosgrove, Sara E., Chambers, Henry F., Fowler, Vance G., Evans, Scott R., Holland, Thomas L.

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Music festival attendees' illicit drug use, knowledge and practices regarding drug content and purity: a cross-sectional survey von Day, Niamh, Criss, Joshua, Griffiths, Benjamin, Gujral, Shireen Kaur, John-Leader, Franklin, Johnston, Jennifer, Pit, Sabrina

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First Trimester Plasma Glucose Values in Women without Diabetes are Associated with Risk for Congenital Heart Disease in Offspring von Helle, Emmi I.T., Biegley, Preston, Knowles, Joshua W., Leader, Joseph B., Pendergrass, Sarah, Yang, Wei, Reaven, Gerald R., Shaw, Gary M., Ritchie, Marylyn, Priest, James R.

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Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data von Myers, Kelly D, Knowles, Joshua W, Staszak, David, Shapiro, Michael D, Howard, William, Yadava, Mrinal, Zuzick, David, Williamson, Latoya, Shah, Nigam H, Banda, Juan M, Leader, Joe, Cromwell, William C, Trautman, Ed, Murray, Michael F, Baum, Seth J, Myers, Seth, Gidding, Samuel S, Wilemon, Katherine, Rader, Daniel J

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Comparing research attitudes in Down syndrome and non‐Down syndrome research decision‐makers von Lu, Thuy V., Campos, Paola, Leader, Sean, Lee, Xavier, Xu, Helena, Doran, Eric, Grill, Joshua D, Lott, Ira T.

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Finding missed cases of familial hypercholesterolemia in health systems using machine learning von Banda, Juan M., Sarraju, Ashish, Abbasi, Fahim, Parizo, Justin, Pariani, Mitchel, Ison, Hannah, Briskin, Elinor, Wand, Hannah, Dubois, Sebastien, Jung, Kenneth, Myers, Seth A., Rader, Daniel J., Leader, Joseph B., Murray, Michael F., Myers, Kelly D., Wilemon, Katherine, Shah, Nigam H., Knowles, Joshua W.

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Assessing the willingness to participate in future clinical trials von Shaver, Amy L., Nikita, Nikita, Banks, Joshua, El Khoury, Christiane, Melillo, Rebecca J., Song, Yawei, Lu-Yao, Grace L., Leader, Amy

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Engaging community members in cancer research: an assessment of an NCI-designated cancer center von Leader, Amy E., Melillo, Rebecca J., Greene, Quincy, Blanding-Godbolt, Joshua, Shimada, Ayako, Eischen, Christine M., Aplin, Andrew E.

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