Modern electron microscopy enables the acquisition of extremely large datasets, necessitating optimized machine learning techniques, such as dimensionality reduction and clustering, to extract ...

The heart, second only to the brain in physiological importance, plays a vital role in maintaining human health. Dysfunction of this organ can lead to serious complications, often culminating in ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology's biggest challenges: predicting the 3D shape of proteins ...