From artificial intelligence promise to translational practice in drug discovery: Reproducibility, validation and evidence-based implementation
- DOI
- 10.1016/j.drudis.2026.104835
- Published
- 2026-12
- Container
- Drug Discovery Today
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.drudis.2026.104835,
title = {From artificial intelligence promise to translational practice in drug discovery: Reproducibility, validation and evidence-based implementation},
author = {Amit Gangwal and Antonio Lavecchia},
year = {2026},
journal = {Drug Discovery Today},
doi = {10.1016/j.drudis.2026.104835},
url = {https://doi.org/10.1016/j.drudis.2026.104835}
}RIS
TY - JOUR TI - From artificial intelligence promise to translational practice in drug discovery: Reproducibility, validation and evidence-based implementation AU - Amit Gangwal AU - Antonio Lavecchia PY - 2026 JO - Drug Discovery Today DO - 10.1016/j.drudis.2026.104835 UR - https://doi.org/10.1016/j.drudis.2026.104835 ER -
APA
Gangwal, A., & Lavecchia, A. (2026). From artificial intelligence promise to translational practice in drug discovery: Reproducibility, validation and evidence-based implementation. Drug Discovery Today. https://doi.org/10.1016/j.drudis.2026.104835
Source records
- crossref · retrieved 2026-11-10T14:40:20.173Z