A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Machine learning (ML) algorithms that incorporate routinely collected patient-reported outcomes (PROs) alongside electronic health record (EHR) variables may improve prediction of short-term mortality ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

They employ machine learning algorithms to distinguish spam from non-spam emails based on features like subject lines, sender information, and email content. Machine Learning vs Deep Learning vs ...

Want to learn how to become a machine learning engineer? Use our guide to discover the career path and requirements for machine learning engineers.

Researchers developed metabolomic aging clocks using machine learning, uncovering links between metabolite profiles, health outcomes, and lifespan.