An AI model used seven common clinical measures of inflammation, nutritional status, and more to predict ALS prognosis, 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 ...

In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...

Clinical Interchangeability of PD-L1 Immunohistochemistry Assays in First-Line Non–Small Cell Lung Cancer Management With Cemiplimab Internal iliac and obturator lymph nodes are common sites of ...

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

Surya is the first foundation model for heliophysics, built by a team of heliophysicists and machine learning experts. It learns from solar images, magnetic field data, and velocity measurements to ...

A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could ...

Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to ...

A small study in Israel developed a machine learning model that achieved moderate to high accuracy in predicting romantic attraction and rejection in a simulated dating app scenario. The researchers ...