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Updated: Aug 5, 2026

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Artificial Intelligence Research for Complex Biological Systems: Integrating Data, Models, and Biological Knowledge
Yong Chen1, Milana Frenkel-Morgenstern2
1Department of Biological and Biomedical Sciences, Rowan University, Glassboro, NJ 08028, USA.
Biology
|July 28, 2026
Summary
Biological systems exhibit complexity across scales. Understanding these dynamic, heterogeneous systems requires advanced analytical approaches for comprehensive insights.
Area of Science:
- Systems biology
- Computational biology
- Multiscale modeling
Background:
- Biological systems are inherently complex, dynamic, and heterogeneous.
- They operate across multiple spatial and temporal scales.
- Traditional analytical methods often struggle to capture this complexity.