A new AI method has been developed to help us better understand how disease-causing cells interact with their microenvironments. This new technique is able to generate predictive models that can identify and quantify the interactions between cells and their environment. The findings, published in Nature Communications, have the potential to improve our understanding of diseases like cancer, and provide new insights into how treatments should be tailored to each individual patient. This groundbreaking work is a great example of how AI and machine learning can be used to advance medical research and help us tackle some of the world’s most pressing health challenges.

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source: Phys.org