The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Alzheimer’s disease touches millions of families across the United States and remains the most common neurodegenerative disorder in older adults. More than six million Americans currently live with ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...

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 ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

In 2025, Anthropic will grow from $1 billion to $9 billion in ARR (annual recurring revenue). OpenAI, meanwhile, will go from ...

This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...