This Project Grant award from the National Science Foundation's (NSF) Integrative Activities (IA) program (CFDA 47.083) supports the development of a computational modeling framework that integrates machine learning with first-principles multiscale models. The $245,403 grant awarded to Kansas State University (KSU) will enable an assistant professor and graduate student to collaborate with the Terasaki Institute for Biomedical Innovation to create models that accurately predict disease progression and drug delivery dynamics using organ-on-a-chip (OOC) experimental data. This innovative approach aims to enhance the efficiency and effectiveness of preclinical drug development by reducing the need for animal testing and guiding the creation of more targeted, personalized treatments with fewer side effects. The research leverages KSU's expertise in areas like engineering, agriculture, and biomedical sciences to advance this critical healthcare technology. No subawards are planned under this grant.
Generated 8/13/24, 4:57 AM