The Macrophage Migration Inhibitory Factor-Glucocorticoid Dyad: Regulation of Inflammation and Immunity by Flaster, Harry, Bernhagen, Jürgen, Calandra, Thierry, Bucala, Richard

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Use of a Novel Real-Time PCR Assay To Detect Oral Polio Vaccine Shedding and Reversion in Stool and Sewage Samples after a Mexican National Immunization Day by TROY, Stephanie B, FERREYRA-REYES, Leticia, HUANG, Chunhong, MAHMUD, Nadim, LEE, Yu-Jin, CANIZALES-QUINTERO, Sergio, FLASTER, Harry, BAEZ-SALDANA, Renata, GARCIA-GARCIA, Lourdes, MALDONADO, Yvonne

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Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization... by Kalra, Andrew, Bachina, Preetham, Shou, Benjamin L., Hwang, Jaeho, Barshay, Meylakh, Kulkarni, Shreyas, Sears, Isaac, Eickhoff, Carsten, Bermudez, Christian A., Brodie, Daniel, Ventetuolo, Corey E., Kim, Bo Soo, Whitman, Glenn J.R., Abbasi, Adeel, Cho, Sung-Min, Kim, Bo Soo, Hager, David, Keller, Steven P., Bush, Errol L., Stephens, R. Scott, Khanduja, Shivalika, Kang, Jin Kook, Chinedozi, Ifeanyi David, Darby, Zachary, Rando, Hannah J., Brown, Trish, Kim, Jiah, Wilcox, Christopher, Leng, Albert, Geeza, Andrew, Akbar, Armaan F., Feng, Chengyuan Alex, Zhao, David, Sussman, Marc, Mendez-Tellez, Pedro Alejandro, Sun, Philip, Capili, Karlo, Riojas, Ramon, Alejo, Diane, Stephen, Scott, Flaster, Harry

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Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis by Kalra, Andrew, Bachina, Preetham, Shou, Benjamin L., Hwang, Jaeho, Barshay, Meylakh, Kulkarni, Shreyas, Sears, Isaac, Eickhoff, Carsten, Bermudez, Christian A., Brodie, Daniel, Ventetuolo, Corey E., Whitman, Glenn J.R., Abbasi, Adeel, Cho, Sung-Min, Kim, Bo Soo, Hager, David, Keller, Steven P., Bush, Errol L., Stephens, R. Scott, Khanduja, Shivalika, Kang, Jin Kook, Chinedozi, Ifeanyi David, Darby, Zachary, Rando, Hannah J., Brown, Trish, Kim, Jiah, Wilcox, Christopher, Leng, Albert, Geeza, Andrew, Akbar, Armaan F., Feng, Chengyuan Alex, Zhao, David, Sussman, Marc, Mendez-Tellez, Pedro Alejandro, Sun, Philip, Capili, Karlo, Riojas, Ramon, Alejo, Diane, Stephen, Scott, Flaster, Harry

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Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysisCentral MessagePerspective by Andrew Kalra, BS, Preetham Bachina, BS, Benjamin L. Shou, BS, Jaeho Hwang, MD, Meylakh Barshay, BA, Shreyas Kulkarni, BS, Isaac Sears, BS, Carsten Eickhoff, PhD, Christian A. Bermudez, MD, Daniel Brodie, MD, Corey E. Ventetuolo, MD, MS, Glenn J.R. Whitman, MD, Adeel Abbasi, MD, ScM, Sung-Min Cho, DO, MHS, Bo Soo Kim, David Hager, Steven P. Keller, Errol L. Bush, R. Scott Stephens, Shivalika Khanduja, Jin Kook Kang, Ifeanyi David Chinedozi, Zachary Darby, Hannah J. Rando, Trish Brown, Jiah Kim, Christopher Wilcox, Albert Leng, Andrew Geeza, Armaan F. Akbar, Chengyuan Alex Feng, David Zhao, Marc Sussman, Pedro Alejandro Mendez-Tellez, Philip Sun, Karlo Capili, Ramon Riojas, Diane Alejo, Scott Stephen, Harry Flaster

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Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization... by Andrew Kalra, BS, Preetham Bachina, BS, Benjamin L. Shou, BS, Jaeho Hwang, MD, MPH, Meylakh Barshay, BS, Shreyas Kulkarni, BS, Isaac Sears, BS, Carsten Eickhoff, PhD, Christian A. Bermudez, MD, Daniel Brodie, MD, Corey E. Ventetuolo, MD, MS, Bo Soo Kim, MD, Glenn J.R. Whitman, MD, Adeel Abbasi, MD, ScM, Sung-Min Cho, DO, MHS, Bo Soo Kim, David Hager, Steven P. Keller, Errol L. Bush, R. Scott Stephens, Shivalika Khanduja, Jin Kook Kang, Ifeanyi David Chinedozi, Zachary Darby, Hannah J. Rando, Trish Brown, Jiah Kim, Christopher Wilcox, Albert Leng, Andrew Geeza, Armaan F. Akbar, Chengyuan Alex Feng, David Zhao, Marc Sussman, Pedro Alejandro Mendez-Tellez, Philip Sun, Karlo Capili, Ramon Riojas, Diane Alejo, Scott Stephen, Harry Flaster

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Tu1549 Patients With Large (≥2cm) Colorectal Neoplasm Have a High Incidence of Advanced Neoplasm At the Index and Surveillance Colonoscopy by Kaltenbach, Tonya, Flaster, Harry, Friedland, Shai, Mojtahed, Amirkaveh, McGill, Sarah K, Soetikno, Roy M

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Su1515 Accurate Classification of Serrated Polyps Significantly Impacts Surveillance Colonoscopy Recommendations in a Large Non-Polypoid Colorectal Neoplasm Study Cohort by Mojtahed, Amirkaveh, Kaltenbach, Tonya, Rouse, Robert, Longacre, Teri A, Pai, Reetesh, Flaster, Harry, Soetikno, Roy M

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