Host: The Japanese Society of Toxicology
Name : The 51st Annual Meeting of the Japanese Society of Toxicology
Date : July 03, 2024 - July 05, 2024
Recent progress in the field of artificial intelligence (AI) impacts broad areas of industries. Biomedical sciences is not an exception.
The grand challenge of AI and biology is to develop “AI Scientist” : an AI/robotics system that can make major scientific discoveries highly autonomously where some of discoveries worth Nobel Prize or beyond. Accomplishing such a grand challenge requires coordinated efforts directed to develop highly automated precision experimental systems combined with intelligent systems that can aggregate knowledge, generate hypotheses, design experiments to verify or falsify them, and execute experiments.
Highly automated experimental systems shall accomplish precision and reproducible experiments with all data generated to be stored in crowd storage automatically.
All data will be used to train AI system for better predictions. There are significant advantage of such systems beyond precision of experiments. It angles us to focus more of essential and fundamental issues leaving AI/robotics systems to perform extensive experiments that is not possible by humans researchers.
This talk discusses some of the recent progress in the field with implications to toxicology.
