Vector‐Based Comparison and Average Slope Can Refine Bioequivalence Claims: A Machine and Deep Learning Approach

Maria Kokkali, Vangelis D. Karalis

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DOI: 10.1002/bdd.70023
Published: 2026-02
Container: Biopharmaceutics & Drug Disposition
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/bdd.70023,
  title = {Vector‐Based Comparison and Average Slope Can Refine Bioequivalence Claims: A Machine and Deep Learning Approach},
  author = {Maria Kokkali and Vangelis D. Karalis},
  year = {2026},
  journal = {Biopharmaceutics \&amp; Drug Disposition},
  doi = {10.1002/bdd.70023},
  url = {https://doi.org/10.1002/bdd.70023}
}

RIS

TY  - JOUR
TI  - Vector‐Based Comparison and Average Slope Can Refine Bioequivalence Claims: A Machine and Deep Learning Approach
AU  - Maria Kokkali
AU  - Vangelis D. Karalis
PY  - 2026
JO  - Biopharmaceutics &amp; Drug Disposition
DO  - 10.1002/bdd.70023
UR  - https://doi.org/10.1002/bdd.70023
ER  -

APA

Kokkali, M., & Karalis, V. D. (2026). Vector‐Based Comparison and Average Slope Can Refine Bioequivalence Claims: A Machine and Deep Learning Approach. Biopharmaceutics & Drug Disposition. https://doi.org/10.1002/bdd.70023

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crossref · retrieved 2026-09-27T06:13:28.326Z