Machine learning-guided dose-time optimization and experimental validation enhance coumarin therapeutics in oncology
- DOI
- 10.1038/s41598-026-62953-x
- Published
- 2026-07-18
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62953-x,
title = {Machine learning-guided dose-time optimization and experimental validation enhance coumarin therapeutics in oncology},
author = {Jalal A. Nasiri and Mohammad Sadra Moazzen and Sara Seyedshazileh and Arash Pourhasani and Mehrdad Iranshahi and Fatemeh B. Rassouli},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-62953-x},
url = {https://doi.org/10.1038/s41598-026-62953-x}
}RIS
TY - JOUR TI - Machine learning-guided dose-time optimization and experimental validation enhance coumarin therapeutics in oncology AU - Jalal A. Nasiri AU - Mohammad Sadra Moazzen AU - Sara Seyedshazileh AU - Arash Pourhasani AU - Mehrdad Iranshahi AU - Fatemeh B. Rassouli PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-62953-x UR - https://doi.org/10.1038/s41598-026-62953-x ER -
APA
Nasiri, J. A., Moazzen, M. S., Seyedshazileh, S., Pourhasani, A., Iranshahi, M., & Rassouli, F. B. (2026). Machine learning-guided dose-time optimization and experimental validation enhance coumarin therapeutics in oncology. Scientific Reports. https://doi.org/10.1038/s41598-026-62953-x
Source records
- crossref · retrieved 2026-09-26T07:11:44.162Z