Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and ...

In the era of constant hustling and doomscrolling, we’ve all had moments when our minds feel fuzzy — like trying to think through a thick fog. Maybe you walk into a room and forget what you walked in ...

AI content creation has exploded, creating a wave of auto-generated videos, scripts, and shows that compete with traditional programming. Live TV still holds power in news and sports, but audiences ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

Precision medicine has revolutionized the landscape of neurological care, shifting from “one-size-fits-all” approaches to ...

1 p.m. Oct. 31, 2025: This story updated with additional comment. If you’ve spent any time around kids, teenagers or the internet in the last year, you’ve probably heard the phrase 67. Kids randomly ...