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.

Phthalate alternative may harm brain development and health

Growing concerns over the potential health effects of exposure to phthalates, a component of many plastics and also known as a plasticizer, have led to a search for safer alternatives. In a new study conducted in cell cultures, ...

Atomic view of nature's amazing molecular machines at work

Researchers from the MPSD's Department of Atomically Resolved Dynamics at the Center for Free-Electron Laser Science, the Centre for Ultrafast Imaging (all in Hamburg), the University of Toronto in Canada and the ETH in Zurich, ...

Sustainable chemistry at the quantum level

Developing catalysts for sustainable fuel and chemical production requires a kind of Goldilocks Effect—some catalysts are too ineffective while others are too uneconomical. Catalyst testing also takes a lot of time and ...

Molecular methods are not sufficient in systematics and evolution

Modern evolutionary systematists often use molecular methods, such like mitochondrial DNA analysis, to differentiate between species and subspecies. These molecular methods are a flashy symbol of modern science cleverly exploited ...

Clean air: New paints break down nitrogen oxides

Surfaces with photo-catalytic characteristics clean the air off nitrogen oxides and other health-endangering substances. Using a new test procedure, Fraunhofer researchers can find out how the coatings behave during a long-term ...

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