An active role for machine learning in drug development
- 17 May 2011
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Chemical Biology
- Vol. 7 (6), 327-330
- https://doi.org/10.1038/nchembio.576
Abstract
Because of the complexity of biological systems, cutting-edge machine-learning methods will be critical for future drug development. In particular, machine-vision methods to extract detailed information from imaging assays and active-learning methods to guide experimentation will be required to overcome the dimensionality problem in drug development.Keywords
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