Development of fucoidan/polyethyleneimine based sorafenib-loaded self-assembled nanoparticles with machine learning and DoE-ANN implementation: Optimization, characterization, and in-vitro assessment for the anticancer drug delivery.
Saved in:
| Title: | Development of fucoidan/polyethyleneimine based sorafenib-loaded self-assembled nanoparticles with machine learning and DoE-ANN implementation: Optimization, characterization, and in-vitro assessment for the anticancer drug delivery. |
|---|---|
| Authors: | Chaurawal N; Department of Pharmacy, School of Chemical Sciences and Pharmacy, Central University of Rajasthan, Bandarsindri, Ajmer, Rajasthan -305817, India., Quadir SS; Department of Pharmaceutical Sciences, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001, India., Joshi G; Department of Pharmaceutical Sciences, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001, India., Barkat MA; Department of Pharmaceutics, College of Pharmacy, University of Hafr Al Batin, 39524, Saudi Arabia., Alanezi AA; Department of Pharmaceutics, College of Pharmacy, University of Hafr Al Batin, 39524, Saudi Arabia., Raza K; Department of Pharmacy, School of Chemical Sciences and Pharmacy, Central University of Rajasthan, Bandarsindri, Ajmer, Rajasthan -305817, India. Electronic address: drkaisar@curaj.ac.in. |
| Source: | International journal of biological macromolecules [Int J Biol Macromol] 2024 Nov; Vol. 279 (Pt 1), pp. 135123. Date of Electronic Publication: 2024 Aug 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7909578 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0003 (Electronic) Linking ISSN: 01418130 NLM ISO Abbreviation: Int J Biol Macromol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-0003 |
|---|---|
| DOI: | 10.1016/j.ijbiomac.2024.135123 |
