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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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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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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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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Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts von Trivedi, Abhaya P, Hall, Chase, Goss, Charles W, Lew, Daphne, Krings, James G, McGregor, Mary Clare, Samant, Maanasi, Sieren, Jered P, Li, Huashi, Schechtman, Ken B, Schirm, Joshua, McEleney, Stephen, Peterson, Sam, Moore, Wendy C, Bleecker, Eugene R, Meyers, Deborah A, Israel, Elliot, Washko, George R, Levy, Bruce D, Leader, Joseph K, Wenzel, Sally E, Fahy, John V, Schiebler, Mark L, Fain, Sean B, Jarjour, Nizar N, Mauger, David T, Reinhardt, Joseph M, Newell, Jr, John D, Hoffman, Eric A, Castro, Mario, Sheshadri, Ajay

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Evidence for ultra-cold traps and surface water ice in the lunar south polar crater Amundsen von Sefton-Nash, E., Williams, J.-P., Greenhagen, B.T., Warren, T.J., Bandfield, J.L., Aye, K.-M., Leader, F., Siegler, M.A., Hayne, P.O., Bowles, N., Paige, D.A.

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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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Abstract 14407: A Deep Neural Network for Predicting Incident Atrial Fibrillation Directly From 12-Lead Electrocardiogram Traces von Raghunath, Sushravya M, Ulloa Cerna, Alvaro, Jing, Linyuan, vanMaanen, David, Stough, Joshua V, Hartzel, Dustin, Leader, Joseph, Good, Christopher, Fornwalt, Brandon K, Haggerty, Christopher M

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Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal von Raghunath, Sushravya M, Ulloa Cerna, Alvaro, Jing, Linyuan, vanMaanen, David, Stough, Joshua V, Hartzel, Dustin, Leader, Joseph, Kirchner, H Lester, Good, Christopher, Patel, Aalpen, Delisle, Brian P, Alsaid, Amro, Beer, Dominik, Haggerty, Christopher M, Fornwalt, Brandon K

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Abstract 12086: A Novel Approach to Managing Heart Failure Populations Using Actionable Machine Learning Models von Jing, Linyuan, Ulloa Cerna, Alvaro, Good, Christopher, Sauers, Nathan M, 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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Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data von Sushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, vanMaanen, David P, Stough, Joshua, Hartzel, Dustin N, Leader, Joseph B, H Lester Kirchner, Good, Christopher W, Patel, Aalpen A, Delisle, Brian P, Amro Alsaid, Beer, Dominik, Haggerty, Christopher M, nwalt, Brandon K

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