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Researchers at the Chan Zuckerberg Biohub (CZ Biohub), the Chan Zuckerberg Initiative (CZI), and UC San Francisco (UCSF) have developed a new diagnostic method that applies machine learning to advanced genomics data from both microbe and host – to identify and predict sepsis cases.

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Biomedical research has long focused on certain model organisms, such as the mouse, fruit fly, and nematode worm C. elegans, partly because they’re easy to work with and partly because of their relevance to human biology. But the ocean is full of organisms that also offer an opportunity to develop new approaches to human health, and it turns out that the closest living invertebrate relative to humans is from the seas – a species of sea squirt called Botryllus schlosseri, or the star tunicate.