The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

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

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...

American Stroke Association International Stroke Conference 2026 annual awards go to 11 stroke researchers for science, brain health contributions.

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Abstract: Current research on bias in machine learning often focuses on fairness while overlooking its underlying causes. Bias was originally defined as a "systematic error," often caused by humans at ...

Hemorrhagic transformation (HT) is a major complication following ischemic stroke, especially in patients treated with reperfusion therapies. Accurate prediction of HT is essential to optimize ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.