Translational Data Fusion Architectures for Efficacy Signal Propagation: AI-Enhanced Systems for Clinical-Preclinical Data Integration in Drug Development

Authors

  • Li Guo Professor of Computer Science, Nanyang Technological University (NTU)

Keywords:

translational data fusion architectures, efficacy signal propagation, ai-enhanced systems, clinical-preclinical data integration, machine learning

Abstract

Integrating clinical and preclinical information with emerging evidence during drug development is crucial for increasing the probability of making the correct decisions. A number of different types of information can be combined. This can be done at the level of connecting clinical trial results to real-world evidence, walking through the enriched virtual trial concept.

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Published

30-06-2026

How to Cite

[1]
“Translational Data Fusion Architectures for Efficacy Signal Propagation: AI-Enhanced Systems for Clinical-Preclinical Data Integration in Drug Development”, Cybersecurity & Net. Def. Research, vol. 6, no. 1, pp. 30–37, Jun. 2026, Accessed: Jun. 05, 2026. [Online]. Available: https://www.thesciencebrigade.com/cndr/article/view/889