QRxVision: Multimodal QR Encoding and Computer Vision for Domain-Specific Drug Discovery

Mithony Keng, Kenneth M. Merz

Open source

DOI
10.1021/acs.jcim.6c01321
Published
2026-10-28
Container
Journal of Chemical Information and Modeling
Publisher
American Chemical Society (ACS)
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.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.6c01321,
  title = {QRxVision: Multimodal
QR Encoding and Computer Vision
for Domain-Specific Drug Discovery},
  author = {Mithony Keng and Kenneth M. Merz},
  year = {2026},
  journal = {Journal of Chemical Information
and Modeling},
  doi = {10.1021/acs.jcim.6c01321},
  url = {https://doi.org/10.1021/acs.jcim.6c01321}
}

RIS

TY  - JOUR
TI  - QRxVision: Multimodal
QR Encoding and Computer Vision
for Domain-Specific Drug Discovery
AU  - Mithony Keng
AU  - Kenneth M. Merz
PY  - 2026
JO  - Journal of Chemical Information
and Modeling
DO  - 10.1021/acs.jcim.6c01321
UR  - https://doi.org/10.1021/acs.jcim.6c01321
ER  - 

APA

Keng, M., & Merz, K. M. (2026). QRxVision: Multimodal QR Encoding and Computer Vision for Domain-Specific Drug Discovery. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01321

Source records