Health, Medical Care, and Welfare

Leading-edge AI technology will change cancer diagnosis and drug discovery

Society is requiring the technology not only for medical treatment but also for preventive healthcare in order that people can live a healthy and long life. However, it is becoming the serious social problem that the heavy burden is placed on the doctors and paramedics with knowledge and advanced abilities.
To overcome this situation, we are actively working on the research of the medical engineering that will support doctors and improve diagnostic accuracy by using technology such as image processing and machine learning. We also challenging to develop the integrated support system for cancer diagnosis, e.g. the computer-aided detection system for breast ultrasonography.
In addition, through the development of new statistical methods with efficient algorithms, combinatorial factors causing genetic complex diseases become uncovered. Through collaboration with medical organizations, we have entered a stage of verifying the effectiveness of proposed technologies.
In addition, we are also focusing on supporting drug discovery that combines robot experiments and AI. Through AI and robot driven bio research, automated searches of diagnostic markers and lower cost individualized healthcare will become possible. This effort has been recognized globally, and in the Multimer Predictions category of the 12th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP 2016), AIRC was honored by being awarded 1st place worldwide.