In this hosted session, we will explore the key challenges and best practices in modeling complex smoke exposure for preclinical research.
A special focus will be placed on optimizing tools and techniques to better simulate real-world conditions, ensuring that preclinical models are robust and translatable to human health outcomes. Practical insights into enhancing reproducibility across different smoke exposure platforms will be discussed, providing a roadmap for advancing smoke exposure research.