This research will synthesize and test individual forms of the siRNA drug LEQVIO to understand how each form contributes to the drug's overall effectiveness.
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.
Use mouse models to test existing and investigational drugs for Alzheimer's; focus on drug repositioning and combo therapy development.
NIH supports discovery of in vivo chemical probes for novel brain targets, with applicants expected to have validated starting compounds and bioassays; clinical trials are not allowed.