Shear Stress Modeling and Machine Learning for Nanomedicine Development: A Mechanistic Pathway to Pharmacokinetic Prediction.
- DOI
- 10.1021/acsnano.6c05350
- Published
- 2026 Aug 11
- Container
- ACS nano
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acsnano.6c05350,
title = {Shear Stress Modeling and Machine Learning for Nanomedicine Development: A Mechanistic Pathway to Pharmacokinetic Prediction.},
author = {Modh H and Leong D and Dindhoria K and Malinovskaya J and Pirola S and Wendt B and Wacker MG},
year = {2026},
journal = {ACS nano},
doi = {10.1021/acsnano.6c05350},
url = {https://doi.org/10.1021/acsnano.6c05350}
}RIS
TY - JOUR TI - Shear Stress Modeling and Machine Learning for Nanomedicine Development: A Mechanistic Pathway to Pharmacokinetic Prediction. AU - Modh H AU - Leong D AU - Dindhoria K AU - Malinovskaya J AU - Pirola S AU - Wendt B AU - Wacker MG PY - 2026 JO - ACS nano DO - 10.1021/acsnano.6c05350 UR - https://doi.org/10.1021/acsnano.6c05350 ER -
APA
H, M., D, L., K, D., J, M., S, P., B, W., & MG, W. (2026). Shear Stress Modeling and Machine Learning for Nanomedicine Development: A Mechanistic Pathway to Pharmacokinetic Prediction.. ACS nano. https://doi.org/10.1021/acsnano.6c05350
Source records
- pubmed · retrieved 2026-09-25T18:55:19.953Z