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Megan Coffee
Megan Coffee
NYU Grossman School of Medicine / NYU Langone Health and Columbia Mailman School of Public Health
Verifierad e-postadress på nyulangone.org - Startsida
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Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity
X Jiang, M Coffee, A Bari, J Wang, X Jiang, J Huang, J Shi, J Dai, J Cai, ...
Computers, Materials & Continua 63 (1), 537-551, 2020
525*2020
The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment
MA Haendel, CG Chute, TD Bennett, DA Eichmann, J Guinney, WA Kibbe, ...
Journal of the American Medical Informatics Association 28 (3), 427-443, 2021
3992021
Dynamically modeling SARS and other newly emerging respiratory illnesses: past, present, and future
CT Bauch, JO Lloyd-Smith, MP Coffee, AP Galvani
Epidemiology 16 (6), 791-801, 2005
3742005
Modelling the impact of migration on the HIV epidemic in South Africa
M Coffee, MN Lurie, GP Garnett
Aids 21 (3), 343-350, 2007
2392007
Patterns of movement and risk of HIV infection in rural Zimbabwe
MP Coffee, GP Garnett, M Mlilo, HACM Voeten, S Chandiwana, ...
The Journal of infectious diseases 191 (Supplement_1), S159-S167, 2005
1642005
In vivo radioprotective effects of angiogenic growth factors on the small bowel of C3H mice
P Okunieff, M Mester, J Wang, T Maddox, X Gong, D Tang, M Coffee, ...
Radiation research 150 (2), 204-211, 1998
1301998
Déjà vu: stimulating open drug discovery for SARS-CoV-2
S Ekins, M Mottin, PRPS Ramos, BKP Sousa, BJ Neves, DH Foil, KM Zorn, ...
Drug discovery today 25 (5), 928-941, 2020
1102020
Open drug discovery for the Zika virus
S Ekins, D Mietchen, M Coffee, TP Stratton, JS Freundlich, ...
F1000Research 5, 2016
722016
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
J Amann, D Vetter, SN Blomberg, HC Christensen, M Coffee, S Gerke, ...
PLOS Digital Health 1 (2), e0000016, 2022
712022
HIV and Schistosoma haematobium prevalences correlate in sub‐Saharan Africa
ML Ndeffo Mbah, EM Poolman, PK Drain, MP Coffee, MJ van der Werf, ...
Tropical medicine & international health 18 (10), 1174-1179, 2013
662013
Prognostic indicators for Ebola patient survival
SJ Crowe, MJ Maenner, S Kuah, BR Erickson, M Coffee, B Knust, J Klena, ...
Emerging infectious diseases 22 (2), 217, 2016
642016
A common feature pharmacophore for FDA-approved drugs inhibiting the Ebola virus
S Ekins, JS Freundlich, M Coffee
F1000Research 3, 2014
62*2014
Illustrating and homology modeling the proteins of the Zika virus
S Ekins, J Liebler, BJ Neves, WG Lewis, M Coffee, R Bienstock, ...
F1000Research 5, 2016
522016
Comorbidity and clinical factors associated with COVID-19 critical illness and mortality at a large public hospital in New York City in the early phase of the pandemic (March …
TD Filardo, MR Khan, N Krawczyk, H Galitzer, S Karmen-Tuohy, M Coffee, ...
PloS one 15 (11), e0242760, 2020
502020
Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier
RV Zicari, S Ahmed, J Amann, SA Braun, J Brodersen, F Bruneault, ...
Frontiers in Human Dynamics 3, 688152, 2021
37*2021
On assessing trustworthy AI in healthcare. Machine learning as a supportive tool to recognize cardiac arrest in emergency calls
RV Zicari, J Brusseau, SN Blomberg, HC Christensen, M Coffee, ...
Frontiers in Human Dynamics 3, 673104, 2021
282021
FDA approved drugs as potential Ebola treatments
S Ekins, M Coffee
F1000Research 4, 2015
21*2015
Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms
MC Anasse Bari, Matthias Heymann, Ryan J Cohen, Robin Zhao, Levente Szabo ...
Clinical Infectious Diseases, 2022
192022
Finding small molecules for the ‘next Ebola’
S Ekins, C Southan, M Coffee
F1000Research 4, 2015
19*2015
Assessing trustworthy AI in times of COVID-19: deep learning for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients
H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ...
IEEE Transactions on Technology and Society 3 (4), 272-289, 2022
162022
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