Neal Grabowski
Papers
1
Total Citations
34
H-Index
1
About
Neal Grabowski is a leading voice in the integration of artificial intelligence and machine learning within pharmacovigilance, a field critical to drug safety monitoring. His most cited work, the 2022 "Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance," provides a pivotal analysis of how pharmaceutical companies are adopting intelligent automation to streamline the processing of Individual Case Safety Reports (ICSRs). Drawing on surveys from 2019 to 2021, Grabowski documents a significant industry shift toward AI-driven solutions, highlighting both the progress and persistent challenges in automating safety data management. With 34 citations, this paper serves as a key reference for researchers and practitioners navigating the intersection of regulatory science and advanced analytics. Beyond this landmark study, Grabowski’s contributions help shape best practices for leveraging machine learning to enhance pharmacovigilance efficiency and accuracy. His work is essential reading for students and professionals seeking to understand how AI is transforming drug safety, offering a clear, evidence-based roadmap for the future of the field.
Research Focus
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Top Papers
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