This grant aims to create PBPK models for long-acting injectable suspensions and implants, predicting drug release by linking formulation attributes to in-vivo performance.
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 seeks to develop AI/ML models using real-world data to monitor clinical outcomes when patients switch between complex generics and brand-name drugs.
This grant supports research to optimize and advance genomic and biologic therapies for Alzheimer’s-related dementias, from preclinical development through early clinical evaluation.
This grant will fund research to discover and optimize new small-molecule chemical probes for novel brain targets to advance understanding of nervous system diseases.