Statisticians using a machine-learning algorithm have run 100,000 simulations in order to attempt to predict the winners of ...

Glioblastoma is a devastatingly effective brain cancer. Doctors can cut it out or blast it with radiation, but that only buys time. The cancer has an insidious ability to hide enough tumor cells in ...

As businesses rush to create AI-powered customer experiences, they face a choice. They can do the same kinds of things as ...

Results from the RAPID-MIRACLE trial have found, for the first time, that the widely used MIRACLE 2 risk score can be applied outside a hospital setting to accurately predict brain injury following a ...

Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...

University of Massachusetts Amherst researchers and scientists at Embr Labs, a Boston-based start-up, have developed an AI-driven algorithm that can accurately predict nearly 70% of hot flashes before ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Two new advanced predictive algorithms use information about a person’s health conditions and simple blood tests to accurately predict a patient’s chances of having a currently undiagnosed cancer, ...