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

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

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

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

Transcription factors are the most powerful genes in our body. They are master regulators and have been implicated in our biggest diseases, even aging itself. Yet, many in the pharmaceutical industry ...

Across a Swiss meadow and into its forested edges, the drone dragged a jumbo-size cotton swab from a 13-foot tether. Along ...

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

A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...

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

Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching ...