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<p>The rapid increase in cell biology techniques, combined with high-throughput technologies and improved computing, has yielded complex data that classical methods struggle to analyze. The question arises, can a machine overcome human performance to identify and predict distinct biological scenarios? Here, we review the mechanotransduction of extracellular matrix mechanical cues and how Artificial Intelligence-based methodologies are or can be used to predict cell states based on morphological and genetic signatures.</p>

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Exploring the intersection of mechanobiology and artificial intelligence

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月26日

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  • Roger Oria,
  • Kashish Jain,
  • Valerie M. Weaver

摘要

The rapid increase in cell biology techniques, combined with high-throughput technologies and improved computing, has yielded complex data that classical methods struggle to analyze. The question arises, can a machine overcome human performance to identify and predict distinct biological scenarios? Here, we review the mechanotransduction of extracellular matrix mechanical cues and how Artificial Intelligence-based methodologies are or can be used to predict cell states based on morphological and genetic signatures.