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 ...
Despite advancements in treatment and prevention, patients with established atherosclerotic cardiovascular disease (ASCVD) still have a particularly high risk of having another heart attack, stroke, ...
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 ...
In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...
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 reduce the challenge of maintaining the purity of tap water.
A new artificial intelligence-powered tool can help researchers determine how well an enzyme fits with a desired target, ...
Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to ...