An AI-led study in The BMJ flags nearly 10 per cent of global cancer research papers as potentially fake, raising alarms about paper mills and the integrity of cancer science worldwide ...

A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

House Republicans warn Chinese "paper mills" may be flooding U.S. science with fake research, potentially compromising ...

A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.

The number of scientific papers flagged as fraudulent has been growing. Now a new paper sheds light on how it’s being done. Researchers found loose networks of unscrupulous editors working with ...

A new paper proposes a systems-level framework for evaluating the trustworthiness of research findings across methods and ...

A research team at the University of Washington and The Allen Institute for AI built OpenScholar, an open-source AI model designed specifically to synthesize current scientific research. In tests, ...