Development and validation of a system for the prediction of excipient-excipient incompatibility using machine learning tools

Junaid Ul Hamid, Sunil Gupta

Open source

DOI: 10.56933/pharmaspire.2022.14103
Published: 2022
Container: Pharmaspire
Publisher: Avenue Research Publishers
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.56933/pharmaspire.2022.14103,
  title = {Development and validation of a system for the prediction of excipient-excipient incompatibility using machine learning tools},
  author = {Junaid Ul Hamid and Sunil Gupta},
  year = {2022},
  journal = {Pharmaspire},
  doi = {10.56933/pharmaspire.2022.14103},
  url = {https://doi.org/10.56933/pharmaspire.2022.14103}
}

RIS

TY  - JOUR
TI  - Development and validation of a system for the prediction of excipient-excipient incompatibility using machine learning tools
AU  - Junaid Ul Hamid
AU  - Sunil Gupta
PY  - 2022
JO  - Pharmaspire
DO  - 10.56933/pharmaspire.2022.14103
UR  - https://doi.org/10.56933/pharmaspire.2022.14103
ER  -

APA

Hamid, J. U., & Gupta, S. (2022). Development and validation of a system for the prediction of excipient-excipient incompatibility using machine learning tools. Pharmaspire. https://doi.org/10.56933/pharmaspire.2022.14103

Source records

crossref · retrieved 2026-09-26T04:19:38.074Z