Search Results - "Munger, Eric"

Application of machine learning in understanding atherosclerosis: Emerging insights by Munger, Eric, Hickey, John W., Dey, Amit K., Jafri, Mohsin Saleet, Kinser, Jason M., Mehta, Nehal N.

“…Biological processes are incredibly complex—integrating molecular signaling networks involved in multicellular communication and function, thus maintaining…”
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Paraplegic Patient with Metastatic Papillary Thyroid Cancer: A Multidisciplinary Approach to Radioactive Iodine Therapy Safety and Efficacy Strategy by Al-Naqeeb, Ghadah, Munger, Eric, Ramanathan, Amrita L, Makarewicz, Andrew, Behairy, Noha, Veraraghavan, Padmasree, Cochran, Craig, Bernaldez, Philip, Clinton, Iman, Devaraj, Newbegin, Lee, Korressa, Fisher, Teresa, Owoade, Olumide, Maass-Moreno, Roberto, Saboury, Babak, Gubbi, Sriram, Klubo-Gwiezdzinska, Joanna

“…High-activity radioactive iodine (RAI) therapy for metastatic thyroid cancer (TC) requires isolation to minimize radiation exposure to third parties, thus…”
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Machine Learning for Biomarker Discovery and Analysis by Munger, Eric

“…Patients suffering from chronic inflammatory diseases such as psoriasis have a greater non-calcified coronary plaque burden, indicating a worse subclinical…”
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Differential diagnosis of bone marrow failure syndromes guided by machine learning by Gutierrez-Rodrigues, Fernanda, Munger, Eric, Ma, Xiaoyang, Groarke, Emma M., Tang, Youbao, Patel, Bhavisha A., Catto, Luiz Fernando B., Clé, Diego V., Niewisch, Marena R., Alves-Paiva, Raquel M., Donaires, Flávia S., Pinto, André Luiz, Borges, Gustavo, Santana, Barbara A., McReynolds, Lisa J., Giri, Neelam, Altintas, Burak, Fan, Xing, Shalhoub, Ruba, Siwy, Christopher M., Diamond, Carrie, Raffo, Diego Quinones, Craft, Kathleen, Kajigaya, Sachiko, Summers, Ronald M., Liu, Paul, Cunningham, Lea, Hickstein, Dennis D., Dunbar, Cynthia E., Pasquini, Ricardo, De Oliveira, Michel Michels, Velloso, Elvira D. R. P., Alter, Blanche P., Savage, Sharon A., Bonfim, Carmem, Wu, Colin O., Calado, Rodrigo T., Young, Neal S.

“…•We developed a machine-learning algorithm to guide differential diagnosis of BMF.•Acquired vs inherited prediction relied on 25 variables recorded through a…”
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IDENTIFYING BASELINE TOP PREDICTORS OF LIPID-RICH NECROTIC CORE BY MACHINE LEARNING IN PSORIASIS by Hong, Christin G., Li, Haiou, Patel, Nidhi, Parel, Philip M., Manyak, Grigory A., Berg, Alex R., O’Hagan, Ross, Florida, Elizabeth, Rodante, Justin, Teague, Heather, Playford, Martin Peter, Sorokin, Alexander V., Wu, Colin O., Chen, Marcus, Jafri, Mohsin S., Munger, Eric, Mehta, Nehal N.

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Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study by Munger, Eric, Choi, Harry, Dey, Amit K., Elnabawi, Youssef A., Groenendyk, Jacob W., Rodante, Justin, Keel, Andrew, Aksentijevich, Milena, Reddy, Aarthi S., Khalil, Noor, Argueta-Amaya, Jenis, Playford, Martin P., Erb-Alvarez, Julie, Tian, Xin, Wu, Colin, Gudjonsson, Johann E., Tsoi, Lam C., Jafri, Mohsin Saleet, Sandfort, Veit, Chen, Marcus Y., Shah, Sanjiv J., Bluemke, David A., Lockshin, Benjamin, Hasan, Ahmed, Gelfand, Joel M., Mehta, Nehal N.

“…Psoriasis is associated with elevated risk of heart attack and increased accumulation of subclinical noncalcified coronary burden by coronary computed…”
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Genomic-Based Machine Learning Towards Prediction of the Etiology of Bone Marrow Failure Syndromes by Gutierrez-Rodrigues, Fernanda, Munger, Eric, Ma, Xiaoyang, Tang, Youbao, Groarke, Emma M, Patel, Bhavisha A., Catto, Luiz Fernando Bazzo, Clé, Diego V, Niewisch, Marena R., Donaires, Flávia S, Kajigaya, Sachiko, Dunbar, Cynthia E., Giri, Neelam, De Oliveira, Michel Michels, McReynolds, Lisa J., Alter, Blanche P., Savage, Sharon A., Bonfim, Carmem M.S., Wu, Colin O., Calado, Rodrigo T., Young, Neal S.

“…Genetic testing has been increasingly used to assist with differential diagnosis of acquired vs inherited bone marrow failure syndromes (IBMFS), a group of…”
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Machine learning demonstrates top predictors of lipid-rich necrotic core modulation over 1 year in psoriasis by Hong, Christin G, Li, Haiou, Parel, Philip M, Berg, Alexander R, Patel, Nidhi, Choi, Harry, Teague, Heather L, Munger, Eric, Buckler, Andrew J, Sorokin, Alexander V, Mehta, Nehal N

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Underperformance of clinical risk scores in identifying imaging-based high cardiovascular risk in psoriasis: results from two observational cohorts by Gonzalez-Cantero, Alvaro, Reddy, Aarthi S, Dey, Amit K, Gonzalez-Cantero, Jorge, Munger, Eric, Rodante, Justin, Sanchez-Moya, Ana I, Perez-Hortet, Cristina, Gonzalez-Calvin, Jorge L, Playford, Martin P, Barderas, María G, Ballester, Asunción, Jimenez-Gomez, Natalia, Jaén, Pedro, Chen, Marcus Y, Gelfand, Joel M, Mehta, Nehal N

“…We aimed to evaluate whether traditional risk scores [short-term, 'psoriasis-modified' (multiplied by 1.5) and lifetime] were able to capture high…”
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APPLICATION OF MACHINE LEARNING TO DETERMINE TOP PREDICTORS OF NON-CALCIFIED CORONARY PLAQUE BURDEN IN PSORIASIS by Choi, Harry, Munger, Eric, Dey, Amit, Elnabawi, Youssef, Groenendyk, Jacob, Khalil, Noor, Rodante, Justin, Aksentijevich, Milena, Reddy, Aarthi, Argueta-Amaya, Jenis, Playford, Martin, Hasan, Ahmed, Jafri, Mohsin Saleet, Sandfort, Veit, Chen, Marcus, Bluemke, David, Gelfand, Joel, Mehta, Nehal

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CIRCULATING LEVELS OF INTERFERON-γ AND TUMOR NECROSIS FACTOR-α ARE ASSOCIATED WITH LIPID-RICH CORONARY PLAQUE IN PSORIASIS by Khalil, Noor, Playford, Martin, Dey, Amit, Elnabawi, Youssef, Chung, Jonathan, Choi, Harry, Aksentijevich, Milena, Argueta-Amaya, Jenis, Munger, Eric, Rodante, Justin, Shukla, Parag, Keel, Andrew, Teague, Heather, Baumer, Yvonne, Sandfort, Veit, Chen, Marcus, Bluemke, David A., Gelfand, Joel, Mehta, Nehal

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SAT559 Challenges Involved in Managing a Paraplegic Patient with Metastatic Papillary Thyroid Cancer Requiring Radioactive Iodine Therapy by Al-Naqeeb, Ghadah, Munger, Eric, Veeraraghavan, Padmasree, Cochran, Craig, Bernaldez, Philip, Wong, Paul, Devaraj, Newbegin, Fisher, Teresa, Lee, Korressa, Owoade, Olumide, Jones, Iman, Gubbi, Sriram, Klubo-Gwiezdzinska, Joanna

“…Disclosure: G. Al-Naqeeb: None. E. Munger: None. P. Veeraraghavan: None. C. Cochran: None. P. Bernaldez: None. P. Wong: None. N. Devaraj: None. T. Fisher:…”
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Application of Machine Learning to Determine Top Predictors of Non-calcified Coronary Burden in Psoriasis: an Observational Cohort Study by Munger, Eric, Choi, Harry, Dey, Amit K., Elnabawi, Youssef A., Groenendyk, Jacob W., Rodante, Justin, Keel, Andrew, Aksentijevich, Milena, Reddy, Aarthi S., Khalil, Noor, Argueta-Ameya, Jenis, Playford, Martin P., Erb-Alvarez, Julie, Tian, Xin, Wu, Colin, Gudjonsson, Johann E., Tsoi, Lam C., Jafri, Mohsin Saleet, Sandfort, Veit, Chen, Marcus Y., Shah, Sanjiv J., Bluemke, David A., Lockshin, Benjamin, Hasan, Ahmed, Gelfand, Joel M., Mehta, Nehal N.

“…Inflammation and dyslipidemia are known to play major roles in the development of atherosclerosis. Our machine learning methods identified top predictors of…”
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Identifying Top Predictors of Change in Noncalcified Coronary Burden in Psoriasis by Machine Learning Over 1-Year by Munger, Eric, Dey, Amit K., Rodante, Justin, Playford, Martin P., Sorokin, Alexander V., Tian, Xin, Wu, Colin O., Hasan, Ahmed, Chen, Marcus Y., Gelfand, Joel M., Jafri, Mohsin Saleet, Mehta, Nehal N.

“…Background: Psoriasis is associated with accelerated non-calcified coronary burden (NCB) by coronary computed tomography angiography (CCTA). Machine learning…”
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