Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...

If any proof was needed that big money is still available for AI drug development, look no further than the ten-figure series B hauled in by Isomorphic Labs. The London-based AI drug discovery firm ...

Abstract: Accurate diagnosis of Major Depressive Disorder (MDD) is critical for effective clinical intervention. However, traditional diagnostic methods heavily rely on subjective assessments, which ...

Researchers at Google Threat Intelligence Group (GTIG) say that a zero-day exploit targeting a popular open-source web administration tool was likely generated using AI. The exploit could be leveraged ...

Cybersecurity researchers have disclosed details of a new credential theft framework dubbed PCPJack that targets exposed cloud infrastructure and ousts any artifacts linked to TeamPCP from the ...