A Risk-Tiered Validation Framework for Artificial Intelligence in Drug Discovery: From Reproducibility to Clinical Translation

Sarfaraz K. Niazi

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DOI: 10.3390/ijms27104349
Published: 2026-05-13
Container: International Journal of Molecular Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/ijms27104349,
  title = {A Risk-Tiered Validation Framework for Artificial Intelligence in Drug Discovery: From Reproducibility to Clinical Translation},
  author = {Sarfaraz K. Niazi},
  year = {2026},
  journal = {International Journal of Molecular Sciences},
  doi = {10.3390/ijms27104349},
  url = {https://doi.org/10.3390/ijms27104349}
}

RIS

TY  - JOUR
TI  - A Risk-Tiered Validation Framework for Artificial Intelligence in Drug Discovery: From Reproducibility to Clinical Translation
AU  - Sarfaraz K. Niazi
PY  - 2026
JO  - International Journal of Molecular Sciences
DO  - 10.3390/ijms27104349
UR  - https://doi.org/10.3390/ijms27104349
ER  -

APA

Niazi, S. K. (2026). A Risk-Tiered Validation Framework for Artificial Intelligence in Drug Discovery: From Reproducibility to Clinical Translation. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms27104349

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crossref · retrieved 2026-09-26T08:30:08.098Z