Using all-atom simulations of model mycomembranes, the work reports compelling structural insights into how α-mycolic acids and outer leaflet lipids (PDIM and PAT) shape membrane organisation. The ...

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

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

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

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

Pancreatic cancer remains one of the biggest challenges in the field of oncology. Numbers of cases are increasing, and the latest personalized therapies and immunotherapy are not yet yielding results.

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

The article outlines a multidisciplinary approach to predictive maintenance in underground mining, leveraging AI to improve equipment reliability and safety.