Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

The roots of addiction risk may lie in how young brains function long before substance use begins, according to a new study from Weill Cornell Medicine. The investigators found that children with a ...

Early brain development is a biological black box. While scientists have devised multiple ways to record electrical signals in adult brains, these techniques don’t work for embryos. A team at Harvard ...

In a study published in Cell Stem Cell, researchers led by Profs. DAI Jianwu and ZHAO Yannan from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences have ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

New research following children for more than a decade links high screen exposure before age two to accelerated brain maturation, slower decision-making, and increased anxiety by adolescence.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Bioengineering researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a soft, thin, stretchable bioelectronic device that can be implanted into a ...

Scientists have known for some time that people who experience early childhood adversity are more prone to developing health and behavioral issues in adulthood, but the brain mechanisms behind these ...