Importance of AI in SB research

"Experimental data and public databases are not error-free and tend to be very noisy. Our language-based communication is one of fundamental limitations. Language inevitably reduces the world to words that represent some concepts or aspects of phenomena that the observer has recognized. This cognitive process inevitably involves inaccuracy. We are also inefficient in handling large volumes of data and information that are generated everyday. Vast data and knowledge is generated in biomedical domains without being properly processed, decoded and integrated as a consistent body of knowledge. In this regards, I consider scientific discovery in biomedical science still to be at the level of cottage industry, hence the need for industrial revolution in biomedical discovery. Recent progress in Artificial Intelligence (AI) has begun to address this issue, although we are a long way off from creating an engine of scientific discovery. My own experience in AI research leads me to believe that the day will come when AI will surpass human capability in biomedical research." 
                             - Hiroaki Kitano,The Systems Biology Institute, Tokyo, Japan Ref: Accelerating systems biology research and its real world deployment, Systems Biology & Applications, Sept. 2015, 1, Article number: 15009 (2015), doi:10.1038/npjsba.2015.9