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 ...

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

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

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...

Thanks to ibm Z for sponsoring this episode. Whether you're picking a place to eat or something to watch, machine learning helps us make smarter decisions in our daily lives. Hosted by: Hank Green ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too ...

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.

The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of ...

The application for admission to the class beginning in Fall 2026 will open on September 1, 2025. Candidates in this admission cycle will apply to enter the program in the Fall Quarter of 2026 and ...

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.