Predicting nanoparticle tumor delivery efficiency using explainable machine learning for cancer nanomedicine design

Abdul Karim, Sutikno, Arry Maulana Syarif, In cheol Jeong

Open source

DOI: 10.3389/fbioe.2026.1919132
Published: 2026-10-20
Container: Frontiers in Bioengineering and Biotechnology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fbioe.2026.1919132,
  title = {Predicting nanoparticle tumor delivery efficiency using explainable machine learning for cancer nanomedicine design},
  author = {Abdul Karim and Sutikno and Arry Maulana Syarif and In cheol Jeong},
  year = {2026},
  journal = {Frontiers in Bioengineering and Biotechnology},
  doi = {10.3389/fbioe.2026.1919132},
  url = {https://doi.org/10.3389/fbioe.2026.1919132}
}

RIS

TY  - JOUR
TI  - Predicting nanoparticle tumor delivery efficiency using explainable machine learning for cancer nanomedicine design
AU  - Abdul Karim
AU  - Sutikno
AU  - Arry Maulana Syarif
AU  - In cheol Jeong
PY  - 2026
JO  - Frontiers in Bioengineering and Biotechnology
DO  - 10.3389/fbioe.2026.1919132
UR  - https://doi.org/10.3389/fbioe.2026.1919132
ER  -

APA

Karim, A., Sutikno, Syarif, A. M., & Jeong, I. C. (2026). Predicting nanoparticle tumor delivery efficiency using explainable machine learning for cancer nanomedicine design. Frontiers in Bioengineering and Biotechnology. https://doi.org/10.3389/fbioe.2026.1919132

Source records

crossref · retrieved 2026-11-05T19:25:38.189Z