Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as ...

A Turkish research team found nitrogen was the most effective fertilizer for boxwood growth and root development, and used ...

A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

Dropping AI Discovery Reveals Why Bacteria Resist Treatment”, “content”: “ For decades, our approach to fighting bacterial ...

A large study of older Mexican adults links frequent nighttime awakenings and unrefreshing sleep to heart disease, with ...

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions work can require laborious experiments that track reactions through time.

Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.