Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

It’s been discovered that a new tool using routine blood tests and a simple online app could help detect tuberculosis (TB) ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of ...

Large language AI models do not behave with consistency, which is harmless in some business contexts but dangerous in others.

This article is sponsored by TSOLife. As senior living operators look for new ways to improve quality of life and maximize ...

A machine learning classification model helps to group data into pre-defined classes. For instance, the model can look at past data to group players into “High-Value,” “Regular,” or “At-Risk” classes.

Heavy metals in soil are often measured in bulk, but those totals can badly overestimate the real risk to crops, ecosystems ...

Heavy metals in soil are often measured in bulk, but those totals can badly overestimate the real risk to crops, ecosystems and human health ...