Addressing data limitations in toxicology requires a multifaceted approach. Increasing sample sizes and improving experimental design can help generate more reliable data. The development of advanced computational models and bioinformatics tools can also aid in the interpretation and integration of diverse data sets. Collaborative efforts between researchers, regulatory bodies, and industry stakeholders are essential to overcoming these challenges.
