The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...

Researcher Sophie Bell and professor Eric Turkheimer identified how genetics, environment and biology combine to affect ...

Snapchat is under fire from a Danish research body, Digitalt Ansvar, for allegedly allowing drug dealers to operate openly on its platform.

AI-based OCT image analysis of thin-cap fibroatheromas captures ‘the complete picture, not just the angiographic hotspot.’ ...

"The promise of AI in medicine will only be realized if it is built and used responsibly," write Murali Doraiswamy and Marc ...

A new study in Science now promises to kick this dust up all over again: it has reported evidence of neural progenitor cells ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk ...