In recent years, the clinical research landscape has been marked by a steady rise in protocol complexity with more endpoints and procedures across all trial phases and therapeutic areas. This trend, driven by the increasing sophistication of trial designs, is evident across trial phases and major therapeutic areas. Resulting in more endpoints and procedures on…
Demystifying deep learning: An accessible introduction to neural networks in health research and epidemiology
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…