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Updated: May 1, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Integrative knowledge management to enhance pharmaceutical R&D
Maria Marti-Solano1, Ewan Birney2, Antoine Bril3
1IMIM and Universitat Pompeu Fabra, Dr. Aiguader 88, 08003 Barcelona, Spain.
Information technology is crucial for pharmaceutical research and development (R&D). Advances require overcoming data sharing, integration, and analysis challenges across the R&D lifecycle.
Area of Science:
- Pharmaceutical Sciences
- Biotechnology
- Computational Biology
Background:
- Information technology plays a vital role in modern pharmaceutical research and development (R&D).
- Current R&D processes generate vast and diverse datasets.
- Existing challenges hinder the full potential of these technologies.
Purpose of the Study:
- To highlight the critical role of information technologies in pharmaceutical R&D.
- To identify key challenges impeding the effectiveness of these technologies.
- To emphasize the need for improved data handling in pharmaceutical innovation.
Main Methods:
- Review of current information technology applications in pharmaceutical R&D.
- Analysis of data-related challenges in drug discovery and development.
- Identification of barriers to data sharing, integration, and joint analysis.
Main Results:
- Information technologies are indispensable tools in pharmaceutical R&D.
- Significant advancements are constrained by difficulties in data sharing.
- Integration and collaborative analysis of R&D data remain substantial hurdles.
Conclusions:
- Overcoming data challenges is essential for maximizing the impact of information technology in pharmaceutical R&D.
- Enhanced data strategies are necessary to drive innovation.
- Future progress depends on collaborative approaches to data management.
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