A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application
- DOI
- 10.1016/j.dmd.2026.100240
- Published
- 2026-03
- Container
- Drug Metabolism and Disposition
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.dmd.2026.100240,
title = {A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application},
author = {Malarvannan M and Monohar S and Sanskruti Sitaram Kate and Isha Taneja and Swati Jaiswal and Bhupesh Pratap and Prakash C. Rathi and Shikha Thakur and David Paul and Muhammad Wahajuddin},
year = {2026},
journal = {Drug Metabolism and Disposition},
doi = {10.1016/j.dmd.2026.100240},
url = {https://doi.org/10.1016/j.dmd.2026.100240}
}RIS
TY - JOUR TI - A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application AU - Malarvannan M AU - Monohar S AU - Sanskruti Sitaram Kate AU - Isha Taneja AU - Swati Jaiswal AU - Bhupesh Pratap AU - Prakash C. Rathi AU - Shikha Thakur AU - David Paul AU - Muhammad Wahajuddin PY - 2026 JO - Drug Metabolism and Disposition DO - 10.1016/j.dmd.2026.100240 UR - https://doi.org/10.1016/j.dmd.2026.100240 ER -
APA
M, M., S, M., Kate, S. S., Taneja, I., Jaiswal, S., Pratap, B., Rathi, P. C., Thakur, S., Paul, D., & Wahajuddin, M. (2026). A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application. Drug Metabolism and Disposition. https://doi.org/10.1016/j.dmd.2026.100240
Source records
- crossref · retrieved 2026-09-26T15:30:33.277Z