The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Researchers have used machine learning to aggregate nearly five decades of weather data to better understand the factors that ...

A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The machine learning ...

Abbreviations: Carbo or cis, carboplatin or cisplatin; Cyclo, cyclophosphamide; Doxo, doxorubicin; ER, estrogen receptor; Her (per), pertuzumab; Her (TRAS ...

Researchers at UCLA have developed an artificial intelligence tool that can use electronic health records to identify ...