Predictive modeling of controlled drug release from polysaccharide-based systems using gradient boosting and metaheuristic optimization
regions, associated with glycosidic backbone vibrations of polysaccharides, exert the strongest influence on release prediction, together with time and medium effects. These results demonstrate that the proposed framework not only improves predictive accuracy but also captures chemically meaningful relationships between polymer structure and macroscopic drug release kinetics, supporting its potential for data-driven formulation optimization.
Authors
- Sameer Alshehri (ORCID: https://orcid.org/0000-0003-2119-867X)
- Meshal Alshamrani (ORCID: https://orcid.org/0000-0002-0396-8653)
- Mahboubeh Pishnamazi (ORCID: https://orcid.org/0000-0002-4402-9695)
- Abdullah Alsalhi (ORCID: https://orcid.org/0000-0002-1994-7179)
- Ahmed H. Albariqi (ORCID: https://orcid.org/0000-0002-1937-6775)
Institutions
- Duy Tan University (VN)
- Taif University (SA)
- Jazan University (SA)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-04-22
- DOI
- https://doi.org/10.1038/s41598-026-48281-0
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Jazan University