An industry perspective on the use of machine learning in drug and vaccine safety

In recent years there has been growing interest in the use of machine learning across pharmacovigilance lifecycle to enhance safety monitoring drugs and vaccines. Here we describe scope industry-based research into for purposes. We conducted an examination findings from a previously published systematic review; 393 papers sourced literature search 2000–2021 were analyzed attributed either industry, academia, or regulatory authorities. Overall, 33 verified be industry contributions then assigned one six categories representing most frequent PV functions (data ingestion, disease-specific studies, review, real world data, signal detection, social media). RWD media comprised 63% (21/33) papers, detection data ingestion 18% (6/33) while studies reviews represented 12% (4/33) 6% (2/33) respectively. Herein trends opportunities observed application pharmacovigilance, along with discussing potential barriers. conclude that although progress date uneven, is very interested applying lifecycle, which it hoped may ultimately patient safety.