Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a ...

A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, ...

More information: Till Richter et al, Delineating the effective use of self-supervised learning in single-cell genomics, Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00934-3 ...

Researchers have amassed vast single-cell gene expression databases to understand how the smallest details impact human biology. However, current analysis methods struggle with the large volume of ...

The genes included those involved in the function of energy-producing mitochondria, lipid and iron metabolism, and the ...

In what is being called a major leap forward for cancer care, researchers have developed an artificial intelligence (AI) ...

Visualizing cells after editing specific genes can ... of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength ...

A new ML-guided platform can design thousands of new enzymes, predict how they will behave in the real world, and test their ...

This form of machine learning works with unlabelled data ... self-supervised learning to test more than 20 million individual cells and compared them with the results of classical learning ...