AI evals and KPIs are essential for scaling healthcare AI, proving reliability, measuring impact and driving safe, measurable ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

The main market opportunities lie in leveraging AI, ML, and LLMs to enhance efficiency and effectiveness in FDA-regulated medical device and SaMD development. These technologies can drive innovation, ...

Govardhan Reddy Kothinti earned a 2025 Global Recognition Award for developing an advanced autonomous driving system that ...

Against the grand backdrop of the accelerated implementation of AI technology globally, the Chinese AI Agent (intelligent agent) market is experiencing remarkable explosive growth, reshaping the new ...

At ECOC 2025, Keysight Technologies will showcase data center infrastructure solutions for artificial intelligence / machine ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Russia’s incursion into Poland’s airspace was a deliberate test of NATO’s defense systems and a warning to the West to end its aid for Ukraine, an expert on the conflict said. While Moscow claims that ...

Background: This study aimed to construct a predictive model utilizing multiple machine learning (ML) models to estimate the likelihood of perioperative blood transfusion in patients with ...