Quality Control of Herbal Medicine Based on Analytical Techniques and Machine Learning: Current Advances and Future Perspectives.

Key Points

• The aim is to outline the research landscape for quality control of herbal medicine using advanced techniques and machine learning.
• Conducted a synthesis of existing research
• Focused on analytical techniques and machine learning applications
• Evaluated current standards in herbal medicine quality control
• Identified gaps in current quality assurance practices
• Highlighted the potential of data-driven approaches
• Suggested future directions for advancing herbal medicine standards

Abstract