[22a-P04-1~20] 12.7 Biomedical Engineering and Biochips

[22a-P04-3] Dynamics Analysis and Machine Learning Prediction in Co-culture of Cardiomyocytes and Fibroblasts

〇Hiromu Kuwabara¹, Kaito Kojima¹, Arata Nagai¹, Ayu Sasaki¹, Kyotaro Kanazashi¹, Yuuta Moriyama^1,2, Mitsui Toshiyuki¹ (1.Aogaku Univ., 2.PRESTO, JST)

Keywords:

cardiomyocytes,machine learning,biophysics

We prepared a co-culture of cardiomyocytes and fibroblasts and analyed dynamics of fibroblasts. The primary research objective focuses on the impact of cardiomyocytes on fibroblasts. Results reveal that in the single-cell culture, fibroblasts exhibit shorter but more diffusive movement, whereas in the co-culture, fibroblasts demonstrate longer but less diffusive movement. These findings will be quantitatively reported using metrics such as MSD and autocorrelation. Additionally, we will investigate whether the shape of the two systems influences behavior using machine learning.