The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

Explore the ultimate guide to automated brain organoid culture workflows and learn how the CellXpress.ai system enables scalable ...

Generative artificial intelligence (“Generative AI” and “AI”, respectively) is under growing scrutiny from regulators and policy makers.1 ...

Merlin combines daily global coverage with one-meter spatial resolution, a capability that Satellogic believes is not available in Earth observation systems today. This combination is expected to ...

Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans ...

AI-generated images are widespread on social media. Starting in August 2026, platforms will be required under the EU AI Act ...

Researchers developed Passive Heart-Rate Monitoring, a deep-learning smartphone system that estimates heart rate and daily ...

Abstract: Brain tumors rank among the most lethal forms of cancer, and their early detection is crucial for improving patient outcomes. Beyond timely identification, accurately determining tumor type ...

Learn what machine learning is, how it works, its types, the algorithms it uses, and its real-world uses in this complete ...

Mental and neurological disorders, including Alzheimer’s disease, Parkinson’s disease, depression, and schizophrenia, represent a growing global health ...

Abstract: Large variations across images make image classification a challenging task; limited training data further increases its difficulty. Genetic programming (GP) has been considerably applied to ...

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...