Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain ...

Every three months, participants in the Metaculus forecasting cup try to predict the future for a prize pot of about $5,000.

Thanks to a new architecture, the Qwen3-Next model is significantly slimmer than the original models, but similarly powerful.

How AI can assist human decision-making and democratize super-forecasting to better predict uncertain futures.

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we ...

Before we debate whether AI can be conscious, we must confront a closer question: are we awake to our own agency before we hand it over to machines?