Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning.

Lee J, Morishita Watanabe N, Yoshimoto N, Eom S, Kwak MK, Jung HS, Umakoshi H

DOI: 10.1002/smtd.70663
Published: 2026 Jun
Container: Small methods
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/smtd.70663,
  title = {Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning.},
  author = {Lee J and Morishita Watanabe N and Yoshimoto N and Eom S and Kwak MK and Jung HS and Umakoshi H},
  year = {2026},
  journal = {Small methods},
  doi = {10.1002/smtd.70663},
  url = {https://doi.org/10.1002/smtd.70663}
}

RIS

TY  - JOUR
TI  - Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning.
AU  - Lee J
AU  - Morishita Watanabe N
AU  - Yoshimoto N
AU  - Eom S
AU  - Kwak MK
AU  - Jung HS
AU  - Umakoshi H
PY  - 2026
JO  - Small methods
DO  - 10.1002/smtd.70663
UR  - https://doi.org/10.1002/smtd.70663
ER  -

APA

J, L., N, M. W., N, Y., S, E., MK, K., HS, J., & H, U. (2026). Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning.. Small methods. https://doi.org/10.1002/smtd.70663

Source records

pubmed · retrieved 2026-09-25T00:05:50.166Z