Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...

The Forecast 2026 project pits soccer fans against AI and statistical models to see who predicts the 2026 World Cup match ...

A new AI model called COMPASS uses tumor gene expression data to predict which patients will respond to cancer immunotherapy drugs called immune checkpoint inhibitors. Analyzing past data from 16 ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

UF researchers are developing a warning system to predict risky water conditions and alert the public to dangerous bacteria ...

For years, the advertising model was contextual. If an insurance provider wanted to sell its product, it would prioritize advertising on insurance-related sites. The thinking was that you had to go ...

Los Angeles -- A new machine-learning approach for prostate-specific membrane antigen (PSMA) treatment of metastatic castration-resistant prostate cancer (mCRPC) could estimate radiation dose to ...