Session Details
[2MS-14]【J】Life sciences research through data science: Navigating between reality and virtuality
Thu. Nov 28, 2024 3:10 PM - 4:30 PM JST
Thu. Nov 28, 2024 6:10 AM - 7:30 AM UTC
Thu. Nov 28, 2024 6:10 AM - 7:30 AM UTC
Room 14(Marine Messe Fukuoka Hall B, 2F Meeting Room 1-1)
Organizer: Shingo Iwami (Nagoya University), Masato Abe (Doshisha University)
Until now, research aimed at solving real-world problems in life sciences involved analyzing experimental and clinical data obtained in the real world using statistical approaches. However, in the era of artificial intelligence, including machine learning and deep learning, the landscape of life science research is changing. For instance, by analyzing real-world data with mathematical models, it becomes possible to develop quantitative computer simulations, enabling comprehensive analysis in the virtual world. The insights gained can then be applied in the real world. In this symposium, we will discuss the approach to life science research using cutting-edge AI technology, providing concrete examples and exploring future perspectives.
Introduction
[2MS-14-01]Development of an approach to predict the disease progression of acute liver injury that reflects daily clinical information
○Raiki Yoshimura1, Shingo Iwami1 (1. Nagoya University)
[2MS-14-02]Human-in-the-Loop Machine Learning for Science
○Yukino Baba1 (1. University of Tokyo)
[2MS-14-03]Collective behavior Analysis in ants using an image-based individual tracking system
○Haruna Fujioka1, Masato S. Abe2 (1. Okayama University, 2. Doshisha University)
[2MS-14-04]Rapid adaptation to environmental changes in evolution experiments and its predictive control
○Ryo Yamaguchi1 (1. Hokkaido University)