Hickey, Anthony J.
University of North Carolina at Chapel Hill · RTI International
4 papers on CoChatORCID 0000-0002-3324-9326
Most cited papers
- Verified
Exploiting machine learning for end-to-end drug discovery and development
Ekins, S., Puhl, A. C., Zorn, K. M., Lane, T. R., Russo, D. P., Klein, J. J., Hickey, A. J., & Clark, A. M. (2019) · Nature Materials
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 578
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Immunization by a bacterial aerosol
Garcia-Contreras, L., Wong, Y.-L., Muttil, P., Padilla, D., Sadoff, J., DeRousse, J., Germishuizen, W. A., Goonesekera, S., Elbert, K., Bloom, B. R., et al. (2008) · Proceedings of the National Academy of Sciences
Inhalation and Respiratory Drug DeliveryTuberculosis Research and Epidemiology
Cited by 145
- Verified
Reproducibility, sharing and progress in nanomaterial databases
Tropsha, A., Mills, K. C., & Hickey, A. J. (2017) · Nature Nanotechnology
Research Data Management PracticesMachine Learning in Materials Science
Cited by 54
- Verified
The role of particle physico-chemical properties in pulmonary drug delivery for tuberculosis therapy
Mortensen, N. P., Durham, P., & Hickey, A. J. (2014) · Journal of Microencapsulation
Inhalation and Respiratory Drug DeliveryAdvanced Drug Delivery Systems
Cited by 52
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