5E: Computational and Machine Learning Approaches for Biomaterial Design & Evaluation

Computational modeling and machine learning can enhance our ability to design and evaluate biomaterials for a variety of applications, and have greatly improved patient care worldwide. This session will explore computational approaches and tools for designing biomaterials for tissue engineering and other applications, evaluating complex data from in vitro and in vivo studies, and predicting biomaterial performance in different microenvironments. Examples of these may include fluid mechanics and bio-transport models of drug/protein delivery, models of protein-protein and protein-material interactions, statistical modeling for biomaterial optimization, machine learning for biomaterial design and analysis, and bioinformatics-based platforms for analyzing complex data, including RNA sequencing and other -omics approaches. Progress and challenges in applying computational approaches in developing biomaterials and in patient care may be discussed.