| Unsupervised analysis of transcriptomics in bacterial sepsis across multiple datasets reveals three robust clusters TE Sweeney, TD Azad, M Donato, WA Haynes, TM Perumal, R Henao, ... Critical care medicine 46 (6), 915-925, 2018 | 288 | 2018 |
| Host gene expression classifiers diagnose acute respiratory illness etiology EL Tsalik, R Henao, M Nichols, T Burke, ER Ko, MT McClain, LL Hudson, ... Science translational medicine 8 (322), 322ra11-322ra11, 2016 | 270 | 2016 |
| " The human body is a black box" supporting clinical decision-making with deep learning M Sendak, MC Elish, M Gao, J Futoma, W Ratliff, M Nichols, A Bedoya, ... Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 220 | 2020 |
| A community approach to mortality prediction in sepsis via gene expression analysis TE Sweeney, TM Perumal, R Henao, M Nichols, JA Howrylak, AM Choi, ... Nature communications 9 (1), 694, 2018 | 208 | 2018 |
| Real-world integration of a sepsis deep learning technology into routine clinical care: implementation study MP Sendak, W Ratliff, D Sarro, E Alderton, J Futoma, M Gao, M Nichols, ... JMIR medical informatics 8 (7), e15182, 2020 | 144 | 2020 |
| A path for translation of machine learning products into healthcare delivery MP Sendak, J D’Arcy, S Kashyap, M Gao, M Nichols, K Corey, W Ratliff, ... EMJ Innov 10, 19-00172, 2020 | 140 | 2020 |
| Prospective and external evaluation of a machine learning model to predict in-hospital mortality of adults at time of admission N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu, J Futoma, J Bae, ... JAMA network open 3 (2), e1920733-e1920733, 2020 | 132 | 2020 |
| Machine learning for early detection of sepsis: an internal and temporal validation study AD Bedoya, J Futoma, ME Clement, K Corey, N Brajer, A Lin, MG Simons, ... JAMIA open 3 (2), 252-260, 2020 | 86 | 2020 |
| Machine learning in health care: a critical appraisal of challenges and opportunities M Sendak, M Gao, M Nichols, A Lin, S Balu EGEMs 7 (1), 1, 2019 | 64 | 2019 |
| Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network’s Common Measures Working Group LA Orlando, NR Sperber, C Voils, M Nichols, RA Myers, RR Wu, ... Genetics in Medicine 20 (6), 655-663, 2018 | 64 | 2018 |
| Comparing reference-based RNA-Seq mapping methods for non-human primate data AM Benjamin, M Nichols, TW Burke, GS Ginsburg, JE Lucas BMC genomics 15, 1-14, 2014 | 53 | 2014 |
| A blood-based host gene expression assay for early detection of respiratory viral infection: an index-cluster prospective cohort study MT McClain, FJ Constantine, BP Nicholson, M Nichols, TW Burke, ... The Lancet Infectious Diseases 21 (3), 396-404, 2021 | 47 | 2021 |
| Impact of gene variants on sex-specific regulation of human Scavenger receptor class B type 1 (SR-BI) expression in liver and association with lipid levels in a population … O Chiba-Falek, M Nichols, S Suchindran, J Guyton, GS Ginsburg, ... BMC Medical Genetics 11, 1-12, 2010 | 45 | 2010 |
| A genomic signature of influenza infection shows potential for presymptomatic detection, guiding early therapy, and monitoring clinical responses MT McClain, BP Nicholson, LP Park, TY Liu, AO Hero III, EL Tsalik, ... Open forum infectious diseases 3 (1), ofw007, 2016 | 35 | 2016 |
| Development and validation of machine learning models to predict admission from emergency department to inpatient and intensive care units A Fenn, C Davis, DM Buckland, N Kapadia, M Nichols, M Gao, ... Annals of emergency medicine 78 (2), 290-302, 2021 | 26 | 2021 |
| A miRNA host response signature accurately discriminates acute respiratory infection etiologies GD Poore, ER Ko, A Valente, R Henao, K Sumner, C Hong, TW Burke, ... Frontiers in microbiology 9, 2957, 2018 | 24 | 2018 |
| Nasopharyngeal protein biomarkers of acute respiratory virus infection TW Burke, R Henao, E Soderblom, EL Tsalik, JW Thompson, MT McClain, ... EBioMedicine 17, 172-181, 2017 | 21 | 2017 |
| Assessing quality of surgical real-world data from an automated electronic health record pipeline KM Corey, J Helmkamp, M Simons, L Curtis, K Marsolo, S Balu, M Gao, ... Journal of the American College of Surgeons 230 (3), 295-305. e12, 2020 | 13 | 2020 |
| Mortality prediction in sepsis via gene expression analysis: a community approach TE Sweeney, TM Perumal, R Henao, M Nichols, JA Howrylak, AM Choi, ... bioRxiv, 095489, 2016 | 10 | 2016 |
| Development of an objective gene expression panel as an alternative to self-reported symptom scores in human influenza challenge trials J Muller, E Parizotto, R Antrobus, J Francis, C Bunce, A Stranks, ... Journal of translational medicine 15, 1-11, 2017 | 9 | 2017 |
