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Developing a machine learning model to explore DNA methylation

A Northwestern Medicine study has detailed the development of a machine learning model to predict DNA methylation status in cell-free DNA by its fragmentation patterns, according to findings published in Nature Communications.

New study reveals novel approach for combating 'resting' bacteria

Most disease-causing bacteria are known for their speed: In mere minutes, they can double their population, quickly making a person sick. But just as dangerous as this rapid growth can be a bacterium's resting state, which ...

Verifying the mathematics behind ocean modeling

Global climate models, such as the Energy Exascale Earth System Model developed by the U.S. Department of Energy, rely on many underlying equations that simulate Earth's natural processes. These include the water cycle, carbon ...

A new tool for tracing the family trees of cells

EPFL researchers have developed GEMLI, a pioneering tool that could democratize and vastly improve how we study the journey of cells from their embryonic state through to specialized roles in the body, as well as their changes ...

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