Host: The Japanese Society of Toxicology
Name : The 47th Annual Meeting of the Japanese Society of Toxicology
Date : 2020 -
Artificial intelligence (AI) continues to gain prominence in many aspects of our everyday lives. From calculating our car insurance premiums to acting as an opponent in our favourite board game, AI plays an increasingly important role. The field of safety assessment is no different and opportunities to utilise AI are being actively explored. The use of AI in early drug safety assessment is showing promise, but there are several obstacles to overcome before the technology can reach its full potential.
In this talk the current applications of AI in drug safety assessment, along with its limitations and blockers to development will be discussed. The need to expand our use cases and embrace the wider potential of AI are described. Its ability to extract evidence from large and complex data from multiple sources and convert this into useful knowledge promises to improve and accelerate our scientific understanding. Thus, AI can ultimately support better decision making regarding human safety assessment of potential drug candidates.
