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 ...

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 ...

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 ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients ...

Many properties of the world's most advanced materials are beyond the reach of quantitative modeling. Understanding them also ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

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 ...