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Gregory R. Hart
Gregory R. Hart
Research Scientist, Institute for Disease Modeling, Bill and Melinda Gates Foundation
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Covasim: an agent-based model of COVID-19 dynamics and interventions
CC Kerr, RM Stuart, D Mistry, RG Abeysuriya, K Rosenfeld, GR Hart, ...
PLOS Computational Biology 17 (7), e1009149, 2021
5682021
Lung Nodule Detection via Deep Reinforcement Learning
I Ali, GR Hart, G Gunabushanam, Y Liang, W Muhammad, B Nartowt, ...
Frontiers in oncology 8, 108, 2018
1292018
Pancreatic cancer prediction through an artificial neural network
W Muhammad, GR Hart, B Nartowt, JJ Farrell, K Johung, Y Liang, J Deng
Frontiers in Artificial Intelligence 2, 2, 2019
1272019
Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network
D Roffman, G Hart, M Girardi, CJ Ko, J Deng
Scientific reports 8 (1), 1701, 2018
1052018
Controlling COVID-19 via test-trace-quarantine
CC Kerr, D Mistry, RM Stuart, K Rosenfeld, GR Hart, RC Núñez, JA Cohen, ...
Nature communications 12 (1), 2993, 2021
1002021
Predicting breast cancer risk using personal health data and machine learning models
GF Stark, GR Hart, BJ Nartowt, J Deng
Plos one 14 (12), e0226765, 2019
942019
A multi-parameterized artificial neural network for lung cancer risk prediction
GR Hart, DA Roffman, R Decker, J Deng
PLoS One 13 (10), e0205264, 2018
622018
Robust machine learning for colorectal cancer risk prediction and stratification
BJ Nartowt, GR Hart, W Muhammad, Y Liang, GF Stark, J Deng
Frontiers in big Data 3, 6, 2020
462020
A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation
Y Liang, W Muhammad, GR Hart, BJ Nartowt, ZJ Chen, JB Yu, KB Roberts, ...
Scientific reports 10 (1), 9808, 2020
352020
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data
BJ Nartowt, GR Hart, DA Roffman, X Llor, I Ali, W Muhammad, Y Liang, ...
PloS one 14 (8), e0221421, 2019
352019
COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support
K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, S Li, ...
Medrxiv, 2020
302020
Development and validation of a multiparameterized artificial neural network for prostate cancer risk prediction and stratification
DA Roffman, GR Hart, MS Leapman, JB Yu, FL Guo, I Ali, J Deng
JCO Clinical Cancer Informatics 2, 1-10, 2018
262018
Effects of weather-related social distancing on city-scale transmission of respiratory viruses: a retrospective cohort study
ML Jackson, GR Hart, DJ McCulloch, A Adler, E Brandstetter, K Fay, ...
BMC Infectious Diseases 21, 1-8, 2021
252021
Empirical fitness models for hepatitis C virus immunogen design
GR Hart, AL Ferguson
Physical Biology 12 (6), 066006, 2015
222015
Population-based screening for endometrial cancer: human vs. machine intelligence
GR Hart, V Yan, GS Huang, Y Liang, BJ Nartowt, W Muhammad, J Deng
Frontiers in Artificial Intelligence 3, 539879, 2020
212020
Error catastrophe and phase transition in the empirical fitness landscape of HIV
GR Hart, AL Ferguson
Physical Review E 91 (3), 032705, 2015
182015
Multiple models for outbreak decision support in the face of uncertainty
K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, SL Li, ...
Proceedings of the National Academy of Sciences 120 (18), e2207537120, 2023
132023
Computational design of hepatitis C virus immunogens from host-pathogen dynamics over empirical viral fitness landscapes
GR Hart, AL Ferguson
Physical biology 16 (1), 016004, 2018
122018
Finding new phases for precipitate-hardening in platinum and palladium alloys
DA Carr, J Corbitt, GR Hart, E Gilmartin, GLW Hart
Computational materials science 51 (1), 331-339, 2012
112012
Covasim: an agent-based model of COVID-19 dynamics and interventions. medRxiv
CC Kerr, RM Stuart, D Mistry, RG Abeysuriya, G Hart, K Rosefeld
Preprint, 2020
92020
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