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Updated: May 11, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
On the limitations of biological knowledge
Edward R Dougherty1, Ilya Shmulevich
1Department of Electrical and Computer Engineering, Texas A&M University ; Computational Biology Division, Translational Genomics Research Institute.
Understanding scientific limitations, both intrinsic and contingent, is crucial for advancing research. Recognizing these boundaries, such as mathematical complexity and experimental constraints, helps researchers identify challenges and potential solutions in biological knowledge discovery.
Area of Science:
- Biological Sciences
- Epistemology of Science
Background:
- Scientific knowledge is inherently limited by its underlying epistemology.
- Limitations can be intrinsic (based on knowledge nature) or contingent (based on current state of knowledge and technology).
Purpose of the Study:
- To clarify the role of limiting factors in scientific research.
- To identify and discuss various sources of limitations in biological knowledge.
Main Methods:
- Conceptual analysis of scientific epistemology.
- Examination of specific limitations within biological research.
Main Results:
- Identified key limitations including mathematical complexity, experimental constraints, validation challenges, knowledge discovery hurdles, and human intellectual capacity.
- Distinguished between intrinsic and contingent limitations.
Conclusions:
- Recognizing limitations is essential for effective scientific progress.
- Understanding these boundaries allows researchers to better navigate and overcome research challenges.
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