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Artificial intelligence guided Raman spectroscopy in biomedicine: Applications and prospects.
Yuan Liu1,2,3, Sitong Chen1,2, Xiaomin Xiong3
1Department of Pharmaceutical Engineering, Beijing Institute of Petrochemical Technology, Beijing, 102627, China.
Journal of Pharmaceutical Analysis
|December 11, 2025
Summary
Artificial intelligence (AI) enhances Raman spectroscopy for biopharmaceutical research and drug development. This integration improves accuracy, efficiency, and applications in disease diagnosis and treatment optimization.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Computational Biology
Background:
- Raman spectroscopy is a sensitive, non-destructive technique vital for biopharmaceutical analysis.
- Traditional Raman spectroscopy faces computational and data challenges.
- Artificial intelligence (AI) offers solutions to enhance these limitations.
Purpose of the Study:
- To explore the synergistic integration of AI and Raman spectroscopy.
- To highlight advancements in biopharmaceutical research and clinical diagnostics.
- To showcase AI's role in optimizing Raman spectroscopy applications.
Main Methods:
- Deep learning algorithms for data processing and feature extraction.
- AI-driven model optimization for enhanced accuracy and efficiency.
- Application of AI-guided Raman spectroscopy in various biomedical contexts.
Main Results:
- Significant improvements in accuracy and efficiency of Raman spectroscopy detection.
- Expanded applications in drug characterization, quality control, and biomolecule interaction studies.
- Revolutionized disease early diagnosis and treatment optimization.
Conclusions:
- AI is crucial for advancing Raman spectroscopy in biopharmaceuticals and clinical diagnostics.
- The integration provides innovative tools for research, drug development, and process control.
- AI-guided Raman spectroscopy offers new perspectives for disease treatment and pharmaceutical management.
Keywords:
Artificial intelligenceBiomedicineBioprocessDeep learningProcess analytical technologyRaman spectrumMore Related Videos
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