Suddath Symposium

“Beyond Animal Models: Integrating Ex Vivo, In Vitro, and In Silico Systems from Data to Decisions”

Advances in biomedical research are expanding the use of ex vivo, in vitro, and in silico models to generate human-relevant data, while agencies such as the FDA and NIH are encouraging the development and adoption of New Approach Methodologies (NAMs) that can complement or replace traditional animal models. Yet a key gap remains between data generation and actionable decision-making in drug development, toxicity prediction, and disease modeling. 

The 35th annual Suddath Symposium will explore how integrated experimental, computational, and AI-driven approaches can help transform complex biological data into predictive, interpretable, decision-grade insights. Topics will include organoids, microphysiological systems, patient-derived models, AI-enabled modeling, data fusion, digital twins, validation, reproducibility, and regulatory alignment. By bringing together academic, industry, and regulatory stakeholders, the meeting will identify best practices and opportunities to accelerate the adoption of NAMs for therapeutic development, safety assessment, and precision medicine.