As machine learning and deep learning technologies advance thanks to advances in computation, algorithms and data availability, the possibilities of the technology continue to expand in medicine. While these AI-driven approaches have real potential, such systems demand large volumes of representative data, careful privacy and security scrutiny and thoughtful long-term strategic planning. In this Q&A, Kathryn…
Pharmacovigilance in personalized medicine: Adapting to a new era of drug development
One of the ways that the COVID-19 pandemic had a profound impact on the pharma industry was how it highlighted the importance of pharmacovigilance. As personalized medicine gained traction, drug developers had to evolve their strategies to ensure safety and efficacy. In their report, “The Future of Pharmacovigilance,” Dr. Sabine Jeck-Thole and Ben Enejo, partners…