Search Results - "Stram, Michelle N"

Neuropathology of Pediatric SARS-CoV-2 Infection in the Forensic Setting: Novel Application of Ex Vivo Imaging in Analysis of Brain Microvasculature by Stram, Michelle N, Seifert, Alan C, Cortes, Etty, Akyatan, Alara, Woodoff-Leith, Emma, Borukhov, Valeriy, Tetlow, Amber, Alyemni, Dimath, Greenberg, Michael, Gupta, Avneesh, Krausert, Amanda, Mecca, Lauren, Rodriguez, Sophia, Stahl-Herz, Jay, Guzman, Miguel A, Delman, Bradley, Crary, John F, Dams-O'Connor, Kristen, Folkerth, Rebecca D

“…Two years into the COVID-19 pandemic, there are few published accounts of postmortem SARS-CoV-2 pathology in children. We report 8 such cases (4 infants aged…”
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Microvascular Injury in the Brains of Patients with Covid-19 by Lee, Myoung-Hwa, Perl, Daniel P, Nair, Govind, Li, Wenxue, Maric, Dragan, Murray, Helen, Dodd, Stephen J, Koretsky, Alan P, Watts, Jason A, Cheung, Vivian, Masliah, Eliezer, Horkayne-Szakaly, Iren, Jones, Robert, Stram, Michelle N, Moncur, Joel, Hefti, Marco, Folkerth, Rebecca D, Nath, Avindra

“…High-resolution MRI and histopathological study of the brains of patients who had died from Covid-19 showed punctate hyperintensities and punctate or linear…”
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Neurovascular injury with complement activation and inflammation in COVID-19 by Lee, Myoung Hwa, Perl, Daniel P, Steiner, Joseph, Pasternack, Nicholas, Li, Wenxue, Maric, Dragan, Safavi, Farinaz, Horkayne-Szakaly, Iren, Jones, Robert, Stram, Michelle N, Moncur, Joel T, Hefti, Marco, Folkerth, Rebecca D, Nath, Avindra

“…Abstract The underlying mechanisms by which severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leads to acute and long-term neurological…”
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Introduction to Artificial Intelligence and Machine Learning for Pathology by Harrison, James H, Gilbertson, John R, Hanna, Matthew G, Olson, Niels H, Seheult, Jansen N, Sorace, James M, Stram, Michelle N

“…Recent developments in machine learning have stimulated intense interest in software that may augment or replace human experts. Machine learning may impact…”
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Introduction to Artificial Intelligence and Machine Learning for Pathology by Harrison, James H, Gilbertson, John R, Hanna, Matthew G, Olson, Niels H, Seheult, Jansen N, Sorace, James M, Stram, Michelle N

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The risk to future pregnancies of transfusing Rh(D)‐negative females of childbearing potential with Rh(D)‐positive red blood cells during trauma resuscitation is dependent on their age at transfusion by Seheult, Jansen N., Stram, Michelle N., Pearce, Thomas, Bub, Carolina B., Emery, Stephen P., Kutner, Jose, Watanabe‐Okochi, Naoko, Sperry, Jason L., Takanashi, Minoko, Triulzi, Darrell J., Yazer, Mark H.

“…Background A risk assessment model for predicting the risk of haemolytic disease of the fetus and newborn (HDFN) in future pregnancies following the…”
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Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity by Seheult, Jansen N, Stram, Michelle N, Contis, Lydia, Pontzer, Raymond E, Hardy, Stephanie, Wertz, William, Baxter, Carla M, Ondras, Michael, Kip, Paula L, Snyder, Graham M, Pasculle, A William

“…PittUDT, a recursive partitioning decision tree algorithm for predicting urine culture (UC) positivity based on macroscopic and microscopic urinalysis (UA)…”
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Reply: The spectrum of complement pathway activation is integral to the pathogenesis of severe COVID-19 by Lee, Myoung-Hwa, Perl, Daniel P, Steiner, Joseph, Pasternack, Nicholas, Li, Wenxue, Maric, Dragan, Safavi, Farinaz, Horkayne-Szakaly, Iren, Jones, Robert, Stram, Michelle N, Moncur, Joel T, Hefti, Marco, Folkerth, Rebecca D, Nath, Avindra

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In silico model of the dilutional effects of conventional component therapy versus whole blood in the management of massively bleeding adult trauma patients by Seheult, Jansen N., Stram, Michelle N., Sperry, Jason, Spinella, Philip C., Triulzi, Darrell J., Yazer, Mark H.

“…BACKGROUND There are multiple approaches to the blood product and fluid resuscitation of a bleeding trauma patient. An in silico model of different trauma…”
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Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists by Hanna, Matthew G, Olson, Niels H, Zarella, Mark, Dash, Rajesh C, Herrmann, Markus D, Furtado, Larissa V, Stram, Michelle N, Raciti, Patricia M, Hassell, Lewis, Mays, Alex, Pantanowitz, Liron, Sirintrapun, Joseph S, Krishnamurthy, Savitri, Parwani, Anil, Lujan, Giovanni, Evans, Andrew, Glassy, Eric F, Bui, Marilyn M, Singh, Rajendra, Souers, Rhona J, de Baca, Monica E, Seheult, Jansen N

“…Machine learning applications in the pathology clinical domain are emerging rapidly. As decision support systems continue to mature, laboratories will…”
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Benchmarking the centralized urgent plasma exchange service for patients admitted with a diagnosis of suspected acquired thrombotic thrombocytopenic purpura at a large healthcare system by Seheult, Jansen N., Stram, Michelle N., Sevcik, Joan, Kaplan, Alesia, Kiss, Joseph E.

“…Background Consensus guidelines recommend that therapeutic plasma exchange (TPE) should be started within 4 to 8 hours after the diagnosis of suspected…”
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Application of a recursive partitioning decision tree algorithm for the prediction of massive transfusion in civilian trauma: the MTPitt prediction tool by Seheult, Jansen N., Anto, Vincent P., Farhat, Nadim, Stram, Michelle N., Spinella, Philip C., Alarcon, Louis, Sperry, Jason, Triulzi, Darrell J., Yazer, Mark H.

“…BACKGROUND A supervised machine learning algorithm was used to generate decision trees for the prediction of massive transfusion at a Level 1 trauma center…”
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Herpes Simplex Virus-1 qPCR in the Diagnosis of Lower Respiratory Tract Infections in Organ Transplant Recipients and Critically Ill Patients by Stram, Michelle N, Suciu, Christopher N, Seheult, Jansen N, McCullough, Melissa A, Kader, Muhamuda, Wells, Alan, William Pasculle, A, Rinaldo, Charles R, Ismail, Nahed

“…Abstract Objectives To determine a quantitative herpes simplex virus (HSV) DNA threshold in lower respiratory tract specimens that correlates with positive…”
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Use of LOINC for interoperability between organisations poses a risk to safety by Carter, Alexis B, de Baca, Monica E, Luu, Hung S, Campbell, W Scott, Stram, Michelle N

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Recent and ongoing technological advancements in forensic pathology practice by Gill, James R, Ely, Susan F

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Septicemia due to DF-2. Cause of a false-positive cryptococcal latex agglutination result by Westerink, M A, Amsterdam, D, Petell, R J, Stram, M N, Apicella, M A

“…A previously healthy 26-year-old man presented with fever, headache, skin rash, and thrombocytopenia. Cultures of blood and cerebrospinal fluid yielded a…”
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