A Technical Framework for Predicting Regulatory Deficiencies in Pharmaceutical Chemistry, Manufacturing, and Controls (CMC) Submissions Using Machine Learning

Piyush Modi

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DOI: 10.7759/cureus.110534
Published: 2026-06-09
Container: Cureus
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7759/cureus.110534,
  title = {A Technical Framework for Predicting Regulatory Deficiencies in Pharmaceutical Chemistry, Manufacturing, and Controls (CMC) Submissions Using Machine Learning},
  author = {Piyush Modi},
  year = {2026},
  journal = {Cureus},
  doi = {10.7759/cureus.110534},
  url = {https://doi.org/10.7759/cureus.110534}
}

RIS

TY  - JOUR
TI  - A Technical Framework for Predicting Regulatory Deficiencies in Pharmaceutical Chemistry, Manufacturing, and Controls (CMC) Submissions Using Machine Learning
AU  - Piyush Modi
PY  - 2026
JO  - Cureus
DO  - 10.7759/cureus.110534
UR  - https://doi.org/10.7759/cureus.110534
ER  -

APA

Modi, P. (2026). A Technical Framework for Predicting Regulatory Deficiencies in Pharmaceutical Chemistry, Manufacturing, and Controls (CMC) Submissions Using Machine Learning. Cureus. https://doi.org/10.7759/cureus.110534

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crossref · retrieved 2026-09-25T06:57:43.579Z