AI in Bioinformatics: The Next Frontier in Health Discovery

Dear Colleagues,

This Special Issue focuses on the synergy between Artificial Intelligence (AI) and High-Performance Bioinformatics. In particular, it specifically targets the computational efficiency and scalability of these models when applied to massive, real-world health datasets.

We invite original research and reviews that address, but are not limited to, the following areas:

• Scalable AI algorithms: machine learning and deep learning architectures optimized for large-scale genomic, transcriptomic, and proteomic data;
• High-Performance bio-computing: the use of GPU acceleration, parallel computing, and distributed systems to power AI-driven biological discovery;
• Precision medicine and diagnostics: AI models for variant calling, drug discovery, and personalized treatment plans that demonstrate clinical relevance;
• Integrative multi-omics: novel AI frameworks capable of fusing heterogeneous biological data (e.g., DNA sequence + clinical imaging) for holistic health assessment;
• Efficient software tools: the development of tools that reduce the memory and time footprint of AI-based bioinformatics pipelines.

This Special Issue’s purpose is to move beyond theoretical accuracy to focus on computational sustainability, ensuring that the next generation of AI tools in bioinformatics can keep pace with the exponential growth of biological data in health research.

How this Special Issue relates to and improves upon the current literature:

• From theory to scalability: this Special Issue supplements the field by focusing on performance and scalability (the “how”), filling a gap often ignored in general bioinformatics journals;
• Addressing the “Big Data” bottleneck: While many publications showcase AI success on small, curated datasets, this Special Issue prioritizes research that tackles the computational bottleneck of processing thousands of whole-genome sequences (WGSs), which is a critical requirement for modern public health projects.

Dr. Gabriella Trucco
Guest Editor

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