Despite their advantages, integrative approaches in toxicology face several challenges. The sheer volume and complexity of data generated by omics technologies and computational models require sophisticated analytical tools and expertise. Data integration and interpretation remain significant hurdles, as does the need for standardized protocols to ensure reproducibility and reliability. Additionally, there is a need for enhanced collaboration across disciplines to effectively leverage diverse methodologies and perspectives.
