Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

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

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

Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...

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

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

Continuous emission monitoring systems (CEMS) were originally designed to meet regulatory reporting requirements. In a typical stack monitoring installation a gas sample is extracted, ...

Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...