A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

The post Apple Researchers Outline a New Method for More Natural Sounding Conversations With Siri appeared first on Android ...

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Vaccination is one of the greatest achievements in immunology and medicine, nearly eradicating many infectious diseases that ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

New research suggests that Parkinson’s disease may leave detectable traces far earlier than previously measurable.

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

BostonGene, the developer of the leading AI foundation model for tumor and immune biology, today announced another major independent validation of its AI and machine learning (ML) capabilities in a ...