1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, ...

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

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 ...

The model showed promise in predicting PPD: nearly 30 percent of those predicted to be high risk developed PPD within the six months after delivery.

NFL Sao Paulo Game 2025 prop picks and SGP for Los Angeles vs. Kansas City from the SportsLine Machine Learning Model AI ...

Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.

NFL Kickoff Game 2025 prop picks and SGP for Dallas vs. Philadelphia from the SportsLine Machine Learning Model AI ...