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Your search keyword '"Rutter, Joni L."' showing total 4 results
Start Over Author "Rutter, Joni L." Publication Type Electronic Resources
4 results on '"Rutter, Joni L."'

1. Evidence generation and reproducibility in cell and gene therapy research: A call to action

Author

Abou-El-Enein, Mohamed, Angelis, Aris, Appelbaum, Frederick R, Andrews, Nancy C, Bates, Susan E, Bierman, Arlene S, Brenner, Malcolm K, Cavazzana, Marina, Caligiuri, Michael A, Clevers, Hans, Cooke, Emer, Daley, George Q, Dzau, Victor J, Ellis, Lee M, Fineberg, Harvey V, Goldstein, Lawrence S B, Gottschalk, Stephen, Hamburg, Margaret A, Ingber, Donald E, Kohn, Donald B, Krainer, Adrian R, Maus, Marcela V, Marks, Peter, Mummery, Christine L, Pettigrew, Roderic I, Rutter, Joni L, Teichmann, Sarah A, Terzic, Andre, Urnov, Fyodor D, Williams, David A, Wolchok, Jedd D, Lawler, Mark, Turtle, Cameron J, Bauer, Gerhard, Ioannidis, John P A, Abou-El-Enein, Mohamed, Angelis, Aris, Appelbaum, Frederick R, Andrews, Nancy C, Bates, Susan E, Bierman, Arlene S, Brenner, Malcolm K, Cavazzana, Marina, Caligiuri, Michael A, Clevers, Hans, Cooke, Emer, Daley, George Q, Dzau, Victor J, Ellis, Lee M, Fineberg, Harvey V, Goldstein, Lawrence S B, Gottschalk, Stephen, Hamburg, Margaret A, Ingber, Donald E, Kohn, Donald B, Krainer, Adrian R, Maus, Marcela V, Marks, Peter, Mummery, Christine L, Pettigrew, Roderic I, Rutter, Joni L, Teichmann, Sarah A, Terzic, Andre, Urnov, Fyodor D, Williams, David A, Wolchok, Jedd D, Lawler, Mark, Turtle, Cameron J, Bauer, Gerhard, and Ioannidis, John P A

Published
2021

2. The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.

Author

Haendel, Melissa A, Haendel, Melissa A, Chute, Christopher G, Bennett, Tellen D, Eichmann, David A, Guinney, Justin, Kibbe, Warren A, Payne, Philip RO, Pfaff, Emily R, Robinson, Peter N, Saltz, Joel H, Spratt, Heidi, Suver, Christine, Wilbanks, John, Wilcox, Adam B, Williams, Andrew E, Wu, Chunlei, Blacketer, Clair, Bradford, Robert L, Cimino, James J, Clark, Marshall, Colmenares, Evan W, Francis, Patricia A, Gabriel, Davera, Graves, Alexis, Hemadri, Raju, Hong, Stephanie S, Hripscak, George, Jiao, Dazhi, Klann, Jeffrey G, Kostka, Kristin, Lee, Adam M, Lehmann, Harold P, Lingrey, Lora, Miller, Robert T, Morris, Michele, Murphy, Shawn N, Natarajan, Karthik, Palchuk, Matvey B, Sheikh, Usman, Solbrig, Harold, Visweswaran, Shyam, Walden, Anita, Walters, Kellie M, Weber, Griffin M, Zhang, Xiaohan Tanner, Zhu, Richard L, Amor, Benjamin, Girvin, Andrew T, Manna, Amin, Qureshi, Nabeel, Kurilla, Michael G, Michael, Sam G, Portilla, Lili M, Rutter, Joni L, Austin, Christopher P, Gersing, Ken R, N3C Consortium, Haendel, Melissa A, Haendel, Melissa A, Chute, Christopher G, Bennett, Tellen D, Eichmann, David A, Guinney, Justin, Kibbe, Warren A, Payne, Philip RO, Pfaff, Emily R, Robinson, Peter N, Saltz, Joel H, Spratt, Heidi, Suver, Christine, Wilbanks, John, Wilcox, Adam B, Williams, Andrew E, Wu, Chunlei, Blacketer, Clair, Bradford, Robert L, Cimino, James J, Clark, Marshall, Colmenares, Evan W, Francis, Patricia A, Gabriel, Davera, Graves, Alexis, Hemadri, Raju, Hong, Stephanie S, Hripscak, George, Jiao, Dazhi, Klann, Jeffrey G, Kostka, Kristin, Lee, Adam M, Lehmann, Harold P, Lingrey, Lora, Miller, Robert T, Morris, Michele, Murphy, Shawn N, Natarajan, Karthik, Palchuk, Matvey B, Sheikh, Usman, Solbrig, Harold, Visweswaran, Shyam, Walden, Anita, Walters, Kellie M, Weber, Griffin M, Zhang, Xiaohan Tanner, Zhu, Richard L, Amor, Benjamin, Girvin, Andrew T, Manna, Amin, Qureshi, Nabeel, Kurilla, Michael G, Michael, Sam G, Portilla, Lili M, Rutter, Joni L, Austin, Christopher P, Gersing, Ken R, and N3C Consortium

Abstract

ObjectiveCoronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical data are abundant, these are largely inaccessible to outside researchers. Statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level data from many centers.Materials and methodsThe Clinical and Translational Science Award Program and scientific community created N3C to overcome technical, regulatory, policy, and governance barriers to sharing and harmonizing individual-level clinical data. We developed solutions to extract, aggregate, and harmonize data across organizations and data models, and created a secure data enclave to enable efficient, transparent, and reproducible collaborative analytics.ResultsOrganized in inclusive workstreams, we created legal agreements and governance for organizations and researchers; data extraction scripts to identify and ingest positive, negative, and possible COVID-19 cases; a data quality assurance and harmonization pipeline to create a single harmonized dataset; population of the secure data enclave with data, machine learning, and statistical analytics tools; dissemination mechanisms; and a synthetic data pilot to democratize data access.ConclusionsThe N3C has demonstrated that a multisite collaborative learning health network can overcome barriers to rapidly build a scalable infrastructure incorporating multiorganizational clinical data for COVID-19 analytics. We expect this effort to save lives by enabling rapid collaboration among clinicians, researchers, and data scientists to identify treatments and specialized care and thereby reduce the immediate and long-term impacts of COVID-19.

Published
2021

3. Evidence generation and reproducibility in cell and gene therapy research: A call to action

Author

Abou-El-Enein, Mohamed, Angelis, Aris, Appelbaum, Frederick R, Andrews, Nancy C, Bates, Susan E, Bierman, Arlene S, Brenner, Malcolm K, Cavazzana, Marina, Caligiuri, Michael A, Clevers, Hans, Cooke, Emer, Daley, George Q, Dzau, Victor J, Ellis, Lee M, Fineberg, Harvey V, Goldstein, Lawrence S B, Gottschalk, Stephen, Hamburg, Margaret A, Ingber, Donald E, Kohn, Donald B, Krainer, Adrian R, Maus, Marcela V, Marks, Peter, Mummery, Christine L, Pettigrew, Roderic I, Rutter, Joni L, Teichmann, Sarah A, Terzic, Andre, Urnov, Fyodor D, Williams, David A, Wolchok, Jedd D, Lawler, Mark, Turtle, Cameron J, Bauer, Gerhard, Ioannidis, John P A, Abou-El-Enein, Mohamed, Angelis, Aris, Appelbaum, Frederick R, Andrews, Nancy C, Bates, Susan E, Bierman, Arlene S, Brenner, Malcolm K, Cavazzana, Marina, Caligiuri, Michael A, Clevers, Hans, Cooke, Emer, Daley, George Q, Dzau, Victor J, Ellis, Lee M, Fineberg, Harvey V, Goldstein, Lawrence S B, Gottschalk, Stephen, Hamburg, Margaret A, Ingber, Donald E, Kohn, Donald B, Krainer, Adrian R, Maus, Marcela V, Marks, Peter, Mummery, Christine L, Pettigrew, Roderic I, Rutter, Joni L, Teichmann, Sarah A, Terzic, Andre, Urnov, Fyodor D, Williams, David A, Wolchok, Jedd D, Lawler, Mark, Turtle, Cameron J, Bauer, Gerhard, and Ioannidis, John P A

Published
2021

4. Evidence generation and reproducibility in cell and gene therapy research: A call to action

Author

Hubrecht Institute with UMC, Abou-el-Enein, Mohamed, Angelis, Aris, Appelbaum, Frederick R., Andrews, Nancy C., Bates, Susan E., Bierman, Arlene S., Brenner, Malcolm K., Cavazzana, Marina, Caligiuri, Michael A., Clevers, Hans, Cooke, Emer, Daley, George Q., Dzau, Victor J., Ellis, Lee M., Fineberg, Harvey V., Goldstein, Lawrence S.B., Gottschalk, Stephen, Hamburg, Margaret A., Ingber, Donald E., Kohn, Donald B., Krainer, Adrian R., Maus, Marcela V., Marks, Peter, Mummery, Christine L., Pettigrew, Roderic I., Rutter, Joni L., Teichmann, Sarah A., Terzic, Andre, Urnov, Fyodor D., Williams, David A., Wolchok, Jedd D., Lawler, Mark, Turtle, Cameron J., Bauer, Gerhard, Ioannidis, John P.A., Hubrecht Institute with UMC, Abou-el-Enein, Mohamed, Angelis, Aris, Appelbaum, Frederick R., Andrews, Nancy C., Bates, Susan E., Bierman, Arlene S., Brenner, Malcolm K., Cavazzana, Marina, Caligiuri, Michael A., Clevers, Hans, Cooke, Emer, Daley, George Q., Dzau, Victor J., Ellis, Lee M., Fineberg, Harvey V., Goldstein, Lawrence S.B., Gottschalk, Stephen, Hamburg, Margaret A., Ingber, Donald E., Kohn, Donald B., Krainer, Adrian R., Maus, Marcela V., Marks, Peter, Mummery, Christine L., Pettigrew, Roderic I., Rutter, Joni L., Teichmann, Sarah A., Terzic, Andre, Urnov, Fyodor D., Williams, David A., Wolchok, Jedd D., Lawler, Mark, Turtle, Cameron J., Bauer, Gerhard, and Ioannidis, John P.A.

Published
2021

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