[Intelligent regulatory technological system for TCM production driven by digital intelligence and its practical...

Area of Science:

• Pharmaceutical Sciences
• Regulatory Science
• Artificial Intelligence in Manufacturing

Background:

• Traditional Chinese Medicine (TCM) production quality and safety are critical for industry modernization.
• Conventional regulatory models face challenges in perception, response efficiency, and process control.
• Intelligent regulation is needed to overcome these limitations in TCM manufacturing.

Purpose of the Study:

• To propose an intelligent regulatory technology framework for TCM production.
• To address the core bottlenecks of conventional regulatory models.
• To support the high-quality, digital, and intelligent development of the TCM industry.

Main Methods:

• Development of a dynamic "perception-cognition-decision-intervention" closed-loop regulatory framework.
• Summarization of a key technological system for intelligent TCM regulation.
• Focus on core tasks: data perception, model reasoning, and risk prediction.
• Demonstration through typical scenario cases.

Main Results:

• The proposed framework offers a novel intelligent regulatory paradigm for TCM production.
• The system demonstrates feasibility and practicality in typical scenarios.
• Methodological paths and technical support for intelligent TCM development are provided.

Conclusions:

• The intelligent regulatory framework based on a dynamic closed loop effectively addresses limitations in conventional TCM production regulation.
• This approach provides a viable path towards high-quality, digital, and intelligent development of the TCM industry.
• The study offers essential technical support for advancing TCM manufacturing standards.