3 papers
cs.AI2026
Improving the Realism of Synthetic Clinical Benchmarks Under Utility Constraints
Omid Bazgir, Md Nasir, Jacob Hoffman +6
Synthetic clinical benchmarks for enterprise AI agents can pass existing utility checks and still remain structurally unrealistic, especially in privacy-sensitive healthcare settin…
cs.LG2025
GRASP: Graph Reasoning Agents for Systems Pharmacology with Human-in-the-Loop
Omid Bazgir, Vineeth Manthapuri, Ilia Rattsev +1
Quantitative Systems Pharmacology (QSP) modeling is essential for drug development but it requires significant time investment that limits the throughput of domain experts. We pres…
cs.LG2023
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction
Omid Bazgir, Zichen Wang, Ji Won Park +2
In anti-cancer drug development, a major scientific challenge is disentangling the complex relationships between high-dimensional genomics data from patient tumor samples, the corr…