aceMachine Learning & Artificial Intelligence in the Development of Gastro-Retentive Drug Delivery Systems: Current Advances & Future Prospectives
The integration of machine learning (ML) and artificial intelligence (AI) into pharmaceutical sciences is reshaping the development of advanced drug delivery systems. Traditional gastroprotective drug delivery systems (GRDDS) are designed to prolong the residence time of oral dosage forms in the stomach to enhance bioavailability and therapeutic efficacy for drugs with narrow absorption windows. However, conventional formulation development often relies on empirical optimization, which is time-consuming and reso…
AI and ML tools can predict drug release, select polymers and simulate gastric behavior, which may cut trial-and-error work and shorten formulation development for stomach-retentive drugs.
The abstract presents benefits as potential and likely rather than measured, and it identifies needs for high-quality datasets, interpretable models and regulatory integration.
Evidence
- Peer-reviewedInternational Journal of Innovative Science and Research Technology2026-10-16
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Truvace Impact Record TRV-2026-1710, v1: “Machine Learning & Artificial Intelligence in the Development of Gastro-Retentive Drug Delivery Systems: Current Advances & Future Prospectives.” Truvace, 2026-10-17. /record/TRV-2026-1710 (accessed at citation time). sha256 5fdac7037c6d1b6f…
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