This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
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 ...
The results were significant. The machine learning model accurately identified 71% of patients with poor outcomes, while the surgeons struggled, identifying between 0% and 7% of possible issues. This ...
FAYETTEVILLE, Ark. — A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor ...
New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...
Our eLibrary offers over 25,000 IMF publications in multiple formats. This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
A new architecture replaces traditional bottlenecks with a passive, single-shot light-speed operation that could become the ...
To a human nose, hydrogen sulfide smells like rotten eggs, geranyl acetate like roses. But the problem of guessing how a new chemical will smell without having someone sniff it has long stumped food ...