In the modern landscape of health science, the emergence of complex diseases presents a formidable challenge, demanding cutting-edge computational methods to elucidate their complexities and devise effective therapies. Recent advancements in technologies such as next-generation sequencing and mass spectrometry have led to a proliferation of multi-omics data, revealing invaluable insights into molecular pathways, drug targets, and personalized medicine. Yet, the assimilation of these vast, diverse datasets remains hindered by issues of heterogeneity, sparsity, and high dimensionality, presenting a crucial barrier that must be overcome.
This research topic aims to propel the development of sophisticated computational techniques for multi-omics data integration. By applying the latest in artificial intelligence, machine learning, and high-performance computing, this initiative seeks to transform raw biological data into actionable clinical insights. Our focus is on creating solutions that are scalable, reproducible, and clinically relevant, thereby bridging the existing gap between laboratory research and real-world healthcare applications.
To gather further insights into smart computational methods, we welcome articles addressing, but not limited to, the following themes:
Smart algorithms for multi-omics data harmonization and fusion
AI-driven biomarker discovery in disease diagnosis and drug development
Predictive modeling for patient-specific drug responses using integrated omics
Computational approaches for disease diagnosis prediction and drug target identification
Integration of multi-omics data with clinical datasets to inform treatment pathways
Molecular interaction prediction using integrated multi-omics and intelligent computing
Reviews analyzing advancements and challenges in artificial intelligence for disease diagnosis and drug development.
Keywords: Multi-omics data integration, Artificial intelligence, Predictive modeling, Drug target identification, Computational methods
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
