“And to give a practical example of what that actually looks like, we could use Foresight to look across the whole population and predict the risk of, for example, unscheduled hospitalisation.

To use an algorithm in an attempt to predict who is at risk of committing murder is perplexing and unethical. Not only could it be inaccurate, but there's no way to know if the system was right.

Now, a new tool powered by artificial intelligence (AI) may be able to tell how quickly you’re ageing, using only a selfie ... helped doctors make better predictions about the short-term ...

these are the cards we'd confidently recommend to our closest friends and family -- and many of us use these cards personally, too. If you're short on time, here's a quick list of some of our ...

Sharp PPI increases in manufacturing inputs, for example, might signal future pressure on profit margins for companies that use those materials. The "Beige Book" (officially the "Summary of ...

These applications demand accurate evaluation of reliability through lifespan prediction to ensure optimal performance and longevity. This study proposes an innovative IGBT lifespan prediction model ...

This paper proposes a novel method that combines random forest regression with grey wolf optimization algorithm to predict the degradation of fuel cells. First, the measurement data is reconstructed ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...