Innovation is a key driver of profitability in the field of toxicology. Companies that invest in alternative testing methods or develop tools for faster and more accurate risk assessments can gain a competitive edge. For example, advances in computational toxicology and machine learning have opened new avenues for identifying and evaluating toxic risks, reducing the need for costly and time-consuming animal testing. Such innovations not only improve efficiency but also align with ethical considerations, potentially increasing profitability by attracting clients who prioritize ethical and innovative solutions.
