Award Number: Grant # 1R16GM149372-01
Federal Funding Agency: National Institute of General Medical Sciences (NIGMS), NIH
Project Title: Merging Artificial Intelligence (Al) and Pharmacometrics to Elucidate Gene-Drug Interactions Linked to Clopidogrel Responsiveness in Caribbean Hispanic Patients.
Project Description/Goal: This NIH-funded research project focuses on studying gene-drug-drug interactions (GDDIs) to estimate the modifying effect of cilostazol on the weighted genetic risk score (WGRS)-driven prediction model for clopidogrel responsiveness in Caribbean Hispanic cardiovascular patientsvpharmacogenomic-driven prescription guidelines for this population while also using a semi-mechanistic population-based PK-PD analysis of such GDDI. The project combines machine learning techniques (l.e., artificial intelligence), a pharmacokinetics and pharmacodynamics modeling approach, active metabolites measurements, and genotyping with the development of more accurate rules for better predictability of GDDis between clopidogrel and cilostazol in cardiovascular patients from this medically underserved population.
PI: Dr. Jorge Duconge, Ph.D. / Collaborator: Dr. Abiel Roche, Ph.D.