Learning noisy tissue dynamics across time scales

arXiv — cs.LG•Thursday, November 6, 2025 at 5:00:00 AM

Learning noisy tissue dynamics across time scales

Researchers have developed an innovative machine learning framework that can effectively predict noisy multicellular dynamics, which are essential for understanding various biological processes like inflammation and morphogenesis. This new approach utilizes advanced techniques such as graph neural networks and WaveNet algorithms, making it a significant step forward in the field. By accurately inferring tissue dynamics from experimental data, this model could enhance our understanding of complex biological systems and lead to breakthroughs in medical research.

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