Building the next frontier: Artificial intelligence in 3D-printed medicines

Area of Science:

• Pharmaceutical Manufacturing
• Biotechnology
• Medical Technology

Background:

• Artificial intelligence (AI) and 3D printing are emerging technologies in pharmaceutical manufacturing.
• Their integration facilitates the production of personalized medications and advanced medical applications.
• Current applications range from diagnostics and robotics to patient-specific dosage forms.

Purpose of the Study:

• To review the transformative impact of AI and 3D printing on pharmaceutical manufacturing.
• To explore their role in developing personalized medicines and innovative drug delivery systems.
• To discuss advancements in AI-assisted 3D printing for medical applications and future perspectives.

Main Methods:

• Review of current literature on AI and 3D printing in pharmaceutical and medical fields.
• Analysis of technological platforms like cloud computing and blockchain for data management.
• Examination of printable materials and their integration into AI-assisted manufacturing.

Main Results:

• AI and 3D printing enable precise control over drug formulation and patient-specific dosage forms.
• Machine learning optimizes processing conditions and designs innovative drug delivery geometries.
• AI-driven 3D printing enhances anatomical models for surgical planning and medical training.

Conclusions:

• The convergence of AI, smart materials, and 3D printing advances intelligent drug production aligned with Industry 4.0.
• These technologies are rapidly adopted in clinical medicine for personalized prosthetics, surgical planning, and bioprinted tissues.
• Key challenges include regulatory compliance, data reliability, ethical considerations, and clinical translation pathways.