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

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional neural networks and recurrent architectures have been deployed to ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS).

Across a Swiss meadow and into its forested edges, the drone dragged a jumbo-size cotton swab from a 13-foot tether. Along its path, the moistened swab collected scraps of life: some combination of ...

Researchers identified three subtypes of amyotrophic lateral sclerosis, each with distinct mechanisms that could be future treatment targets.

A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ultrafast spintronics and advancing systematic discovery of magnetic ...

While headlines focus on bringing back the woolly mammoth, the most significant impact of this research lies in its immediate… Read More ...

Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching accuracies near 98% when aligned with kidney disease improving global ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with ...