Computational analysis of low-dose radiation responses based on artificial neural network

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K16088
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Life / Health / Medical informatics
• Research Institution: Tokyo Institute of Technology (2016); Japan Atomic Energy Agency (2015)
• Principal Investigator: Hattori Yuya 東京工業大学, 工学院, 助教 (30709803)
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: 放射線生物 / 数理生物 / 数理解析 / 低線量放射線応答

Outline of Final Research Achievements

The purpose of this study is to understand the mechanism of low-dose radiation response in cellular population related to evaluations of radiation risks. We developed a mathematical model which can calculate temporal and spatial intercellular signaling and radiation responses of individual cells.
Our model successfully reproduced radiation responses of experimental data previously reported. The model also showed non-linear characteristics of low-dose radiation response.

Free Research Field

制御工学