Computational Molecular Biology 2024, Vol.14, No.3, 106-114 http://bioscipublisher.com/index.php/cmb 110 improving patient outcomes (Nicora et al., 2020; Reel et al., 2021). As the field continues to evolve, the integration of multi-omics data with AI will play a crucial role in the development of precision medicine strategies, paving the way for more targeted and effective therapies. Figure 2 Pipeline of multi-omics data integration analyses (Adopted from Kang et al., 2021) 6 Ethical Considerations and Challenges 6.1 Data privacy and security The integration of AI in genomic research necessitates the collection and sharing of vast amounts of sensitive genomic data, raising significant concerns about data privacy and security. The potential for breaches in patient
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