Structural Health Monitoring & Machine Learning, Volume 12: Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics, 2025, the twelfth volume of twelve from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of the Structural Health Monitoring, including papers on:Bayesian Methods for Model InferenceHealth Monitoring using dynamic measurementsHealth Monitoring using Digital TwinningSHM using Machine LearningCase studies of SHM on real-world dynamic systemsOther Innovative SHM Methods