Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from aircraft fuselages to bridge supports—perform reliably under demanding conditions ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter? Researchers at the Carl R. Woese Institute for Genomic Biology are a step ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

As the May 26th CE-IVDR compliance deadline comes into effect, Diagnostics.ai launches the industry's first fully-transparent machine learning platform for clinical real-time PCR diagnostics – ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn baby's health, including whether genetic changes may be linked to a ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...