This grant aims to improve prediction of food/drug interactions for high-risk oral drugs by using a lab model that mimics the gut to assess drug performance.
This grant aims to combine machine learning and computational fluid dynamics to improve generic inhaled drug development and approval through alternative bioequivalence studies.
This grant supports developing non-invasive imaging to measure how topical drugs penetrate the skin, aiming for a new way to test topical drug bioequivalence.
This grant funds innovative research to develop or improve broadly applicable models, materials, and methodologies for studying multiple body systems or diseases relevant to human health, excluding single disease or system studies.
Accelerate precision probiotic therapies by identifying person-specific features affecting probiotic responses to enhance clinical outcomes.