Quantum-Augmented Federated AI for Adaptive Pharmacogenomic Precision Oncology: A Perspective.

Rafiq Z, Puebla Osorio N

Open source

DOI
10.1021/acsptsci.6c00261
Published
2026 Aug 14
Container
ACS pharmacology & translational science
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1021/acsptsci.6c00261,
  title = {Quantum-Augmented Federated AI for Adaptive Pharmacogenomic Precision Oncology: A Perspective.},
  author = {Rafiq Z and Puebla Osorio N},
  year = {2026},
  journal = {ACS pharmacology \& translational science},
  doi = {10.1021/acsptsci.6c00261},
  url = {https://doi.org/10.1021/acsptsci.6c00261}
}

RIS

TY  - JOUR
TI  - Quantum-Augmented Federated AI for Adaptive Pharmacogenomic Precision Oncology: A Perspective.
AU  - Rafiq Z
AU  - Puebla Osorio N
PY  - 2026
JO  - ACS pharmacology & translational science
DO  - 10.1021/acsptsci.6c00261
UR  - https://doi.org/10.1021/acsptsci.6c00261
ER  - 

APA

Z, R., & N, P. O. (2026). Quantum-Augmented Federated AI for Adaptive Pharmacogenomic Precision Oncology: A Perspective.. ACS pharmacology & translational science. https://doi.org/10.1021/acsptsci.6c00261

Source records