Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Role of Artificial Intelligence in Formulation Design
0
Zitationen
1
Autoren
2026
Jahr
Abstract
Artificial Intelligence (AI) and Machine Learning (ML) are transforming pharmaceutical formulation design by improving innovation and efficiency. Meta-analyses show AI accelerates drug discovery and development timelines, enhances success rates in trials, and supports rational drug design, leading to safer and more effective therapies. AI/ML also optimize drug delivery systems, particularly in controlled-release formulations and nanoparticle-based carriers, by accurately predicting their physicochemical properties. Despite these advances, challenges such as limited data availability, regulatory hurdles, and ethical concerns remain. However, ongoing research and technological evolution suggest that AI and ML will continue to play a pivotal role in future pharmaceutical formulation development, ultimately improving healthcare outcomes.[
Ähnliche Arbeiten
Lung volumes and forced ventilatory flows. Report Working Party Standardization of Lung Function Tests, European Community for Steel and Coal. Official Statement of the European Respiratory Society.
1993 · 3.845 Zit.
Drug delivery and nanoparticles: Applications and hazards
2008 · 3.802 Zit.
Bone Histomorphometry : Standardization of Nomenclature, Symbols, and Units
1987 · 3.273 Zit.
Table of Integrals, Series, and Products
1981 · 3.233 Zit.
Global strategy for asthma management and prevention: GINA executive summary
2007 · 3.227 Zit.