As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”
The latest patent filing from Cranius LLC describes a reservoir for its implanted drug delivery devices which is shaped and formed to empty and fill reliably without any concern for neighboring organ impingement or compression, and which can precisely control and monitor exactly just how much of a medicine is being delivered.
It’s no surprise to hear that industry’s view of a device’s inherent risk differs from that of the U.S. FDA, a disparity that came to surface in a new citizen petition from Metaltronica SpA of Pomezia, Italy. The company petitioned the agency to down-classify digital breast tomosynthesis system to class II, a move that would align the risk classification with full-field digital mammography and ease the premarket path for future digital breast tomosynthesis applications.