Title:A Review on the Recent Advancements and Artificial Intelligence in
Tablet Technology
Volume: 25
Issue: 6
关键词:
物料搬运、片剂、人工智能、机器学习、片剂技术、制药科学。
摘要:
Background: Tablet formulation could be revolutionized by the integration of modern
technology and established pharmaceutical sciences. The pharmaceutical sector can develop tablet
formulations that are not only more efficient and stable but also patient-friendly by utilizing artificial
intelligence (AI), machine learning (ML), and materials science.
Objectives: The primary objective of this review is to explore the advancements in tablet technology,
focusing on the integration of modern technologies like artificial intelligence (AI), machine
learning (ML), and materials science to enhance the efficiency, cost-effectiveness, and quality of
tablet formulation processes.
Methods: This review delves into the utilization of AI and ML techniques within pharmaceutical
research and development. The review also discusses various ML methodologies employed, including
artificial neural networks, an ensemble of regression trees, support vector machines, and
multivariate data analysis techniques.
Results: Recent studies showcased in this review demonstrate the feasibility and effectiveness of
ML approaches in pharmaceutical research. The application of AI and ML in pharmaceutical research
has shown promising results, offering a potential avenue for significant improvements in
the product development process.
Conclusion: The integration of nanotechnology, AI, ML, and materials science with traditional
pharmaceutical sciences presents a remarkable opportunity for enhancing tablet formulation processes.
This review collectively underscores the transformative role that AI and ML can play in advancing
pharmaceutical research and development, ultimately leading to more efficient, reliable
and patient-centric tablet formulations.
