Machine Learning: Biology's Native Tongue?
2025-06-06
This article explores the revolutionary role of machine learning in biological research. Traditional mathematical models struggle with the complexity, high dimensionality, and interconnectedness of biological systems. Machine learning, especially deep learning, can learn complex non-linear relationships from data, capturing context-dependent dynamics in biological systems, much like learning a new language. The article uses the example of intracellular signaling mechanisms to illustrate the similarities between machine learning models and how cells process information and looks ahead to emerging fields like predictive biology, arguing that machine learning will become a core tool in bioengineering.
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