Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

The IT team at North-Eastern Hill University has launched an innovative AI-driven landslide mapping tool specifically for Meghalaya. Utilizing an impressive combination of ten machine learning ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Scientists have built an AI tool that predicts coral heat stress weeks early, giving reef managers time to act before bleaching starts.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...