Advancing Translational Science Using Bioinformatics and Big Data-Driven Approaches
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 226
Special Issue Editor
Interests: biological data mining; systems biology; network biology; artificial intelligence; visual analytics; translational bioinformatics
Special Issue Information
Dear Colleagues,
This Special Issue of MDPI Biology focuses on accelerating progress in translational science through the integration of bioinformatics and big data analytics. The rapid evolution of artificial intelligence (AI) has dramatically enhanced the potential of biological discovery by empowering bioinformatics tools with greater accuracy, scalability, and predictive power. Meanwhile, biomedical research has been transformed by multi-modal technologies that generate high-dimensional datasets across diverse biological systems.
Together, these developments form a powerful synergy: AI-driven bioinformatics and big data approaches are redefining how we predict, diagnose, and treat disease, laying the foundation for next-generation personalized and precision medicine.
The goal of this Special Issue is to inspire researchers to explore computational strategies and uncover novel insights into disease mechanisms, onset, and progression. We particularly welcome submissions that present new tools, methodologies, or applications leveraging bioinformatics and big data to address challenges in translational science. This issue will also cover application in areas enabled by integrative analyses, including but not limited to medical pathology, biomarker discovery, ethical and safety considerations, functional genomics analysis, and the impact of AI-driven computational solutions.
This Special Issue will foster interdisciplinary collaboration and advance translational research, ultimately improving clinical outcomes through data-informed discovery.
Dr. Zongliang Yue
Guest Editor
Manuscript Submission Information
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Keywords
- bioinformatics
- big data analytics
- artificial intelligence (AI)
- machine learning
- deep learning
- translational science
- computational biology
- drug repositioning
- biomarker discovery
- genomics
- medical imaging
- digital pathology
- integrative analysis
- disease mechanisms
- functional genomics analysis
- computational tool application
- ethical and safety considerations
- data-driven approaches
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