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Microbes are by far the most important factor in determining how much carbon is stored in the soil, which has implications for mitigating climate change and improving soil health for food production.

Five subtypes of heart failure that could potentially be used to predict future risk for individual patients have been identified in a new study.

Researchers at the Beckman Institute for Advanced Science and Technology used deep learning to develop a new framework for super-resolution ultrasound.

Word choice matters—a lot— when it comes to research. That's the conclusion of a new study that analyzed HIV-related stigmatizing language published in scientific literature from 2010 to 2020.

Researchers are using a “digital twin” of two fresh-cut produce facilities to identify the optimal times and locations to look for the presence of Listeria monocytogenes and therefore prevent food contamination.

A collaborative research community is bringing together computer scientists and neuroscientists to construct accurate brain maps from brain scans, with the help of AI.

Combination of readily available treatments improved outcomes – with particular benefit for low – and middle-income countries, where most cases occur.

In an analysis of the Look AHEAD study, researchers found that participants who were physically active in the afternoon had greater reductions in blood sugar than those who were most active at other times of day.

Around seven million people will die prematurely from air pollution annually in the future if we do not change our ways, predictions suggest.

Researchers implemented AI learning to successfully predict which small proteins can bind to cell structures and delivery drugs in animal models.