A locally trained sepsis model shows early warning potential in acute care, but its accuracy varies by the sepsis definition used, and high false positives limit its clinical utility.

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

Breast cancer is one of the most common malignancies worldwide, and mutations in the PI3K/AKT/mTOR (PAM) signaling pathway ...

Researchers from Koç University and collaborators have developed an AI model that predicts where viewers focus in 360-degree videos by combining visual and auditory cues. Using a dataset of 81 videos ...

Genomic prediction and design require models capable of integrating local sequence features with long-range regulatory dependencies. Nucleotide Transformer v3 (NTv3) is a multi-species genomic ...

The appearance of predictive text in writing an email or text message has become, for better or worse, a regular feature of ...