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 ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...

A collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging ...

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

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

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

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

An exciting collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging artificial intelligence (AI) to aid the development of T cell ...

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 machine learning model can make accurate survival predictions for Merkel cell carcinoma (MCC), according to a study published online Jan. 8 in npj Digital Medicine. Noting there are no personalized ...

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 ...