Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...

The results indicate that Shuai Zhang holds a 64% probability of winning against Taylah Preston in this matchup. This significant edge can be attributed to Zhang's experience and past performance in ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

As the excitement builds for the Australian Open 2026, fans are eager to see how Jessica Pegula will fare against Anastasia Zakharova in the first round. With advanced predictive models and betting ...

The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...