Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.

Area of Science:

• Pharmaceutical Science
• Computational Chemistry
• Biotechnology

Background:

• Artificial Intelligence (AI) is increasingly vital in pharmaceutical research.
• Machine learning, deep learning, and neural networks are key AI technologies.
• AI applications span drug discovery to delivery and manufacturing.

Approach:

• This review synthesizes current AI applications in drug formulation and development.
• It examines AI tools and networks used in the pharmaceutical pipeline.
• The study compiles AI utilization in diverse dosage forms.

Key Points:

• AI accelerates drug discovery, optimizes manufacturing, and improves quality control.
• AI aids clinical trial management and enhances drug delivery systems.
• Challenges include data availability, model interpretability, and regulatory hurdles.

Conclusions:

• AI promises personalized medicine, precision targeting, and faster formulation optimization.
• Ethical considerations like privacy, bias, and accountability are crucial.
• AI is poised to transform pharmaceutical development.