Artificial Intelligence-Driven Innovations in Pharmaceutical Development and Drug Delivery Systems.

Area of Science:

• Pharmaceutical Sciences
• Artificial Intelligence
• Drug Delivery Systems

Background:

• Rapid advancements in Artificial Intelligence (AI) technology are increasingly impacting pharmaceutical research and development.
• AI offers significant potential in optimizing drug design, enhancing R&D efficiency, and improving product safety profiles.
• The integration of AI supports the realization of personalized medicine through advanced data analysis and predictive modeling.

Purpose of the Study:

• To systematically examine the foundational applications and principles of AI in pharmaceutical formulation.
• To evaluate AI's role in key areas including drug development, manufacturing, quality control, and ADME/T prediction.
• To explore the opportunities and challenges of AI integration in pharmaceutical development, regulation, and policymaking.

Main Methods:

• Review of AI applications in pharmaceutical formulation and Drug Delivery Systems (DDS).
• Analysis of Machine Learning (ML) models for optimizing DDS, nanocarrier design, and personalized drug release.
• Examination of AI's role in intelligent manufacturing technologies like 3D printing and continuous manufacturing.

Main Results:

• AI enhances prediction accuracy for critical drug properties such as solubility, stability, and bioavailability.
• AI optimizes novel DDS, enabling personalized drug release control and advanced nanocarrier design.
• AI integration is pivotal in advancing intelligent manufacturing processes and improving quality control in pharmaceuticals.

Conclusions:

• AI technology holds immense potential to revolutionize pharmaceutical formulation and Drug Delivery Systems (DDS).
• AI integration promises to significantly enhance drug development efficiency, safety, and the implementation of personalized medicine.
• Addressing the opportunities and challenges of AI is crucial for transforming pharmaceutical development and regulatory practices.