What is it about?
This research is about understanding how living things—like humans—keep their internal systems stable even when things around them change, like the time of day or how much food is available. The scientists created a new machine learning tool that can figure out what the body is trying to keep steady, even when that target is moving or changing over time. For example, your body’s sleep cycle follows a 24-hour rhythm, and your metabolism changes depending on when and what you eat. This tool can learn both what the body is trying to control and how that goal changes over time, something no previous method could do. They tested it using computer models of real biological systems and found that it works very well.
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This page is a summary of: Identifying dynamic regulation with machine learning using adversarial surrogates, PLOS One, June 2025, PLOS,
DOI: 10.1371/journal.pone.0325443.
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