Drug hunters are moving into the clinic with human-first ‘no-hypothesis’ target discovery, applying the full force of machine learning to massive collections of human omics data.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Eisenstein, M. Machine learning powers biobank-driven drug discovery. Nat Biotechnol 40, 1303–1305 (2022). https://doi.org/10.1038/s41587-022-01457-1
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41587-022-01457-1
- Springer Nature America, Inc.