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

Recently, much focus has been placed on developing cell culture media with less effort and without being bound by conventional empirical rules, for which machine learning is used. Nevertheless ...

Self-supervised learning is based on two methods. In masked learning – as the name suggests – a portion of the input data is ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Moscot is a cell ...

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

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

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

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 ...

Combing through scads of DNA, chemical structure, and functional data, researchers have created an AI-guided platform that ...

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 ...

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 ...