A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported ...

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

An interpretable machine-learning study of 3,729 older NHANES participants linked mixed dietary signals with predictions of ...

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 ...

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 ...

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

Polymers such as polypropylene are fundamental materials in the modern world, found in everything from computers to cars. Because of their ubiquity, it's vital that materials scientists know exactly ...

Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...

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.