Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a ...
Self-supervised learning is based on two methods. In masked learning – as the name suggests – a portion of the input data is ...
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 ...
Scientists at St. Jude Children’s Research Hospital created a machine-learning algorithm capable of scaling with these single-cell data repositories to deliver more accurate results. The new method ...
A new ML-guided platform can design thousands of new enzymes, predict how they will behave in the real world, and test their ...
The genes included those involved in the function of energy-producing mitochondria, lipid and iron metabolism, and the ...
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 ...
The review article discusses the applications of artificial intelligence (AI) in the field of fuel cells, focusing on its principles, applications, existing challenges, and future directions in ...
Scientists at St. Jude Children’s Research Hospital created a machine-learning algorithm capable of scaling with these single-cell data repositories to deliver more accurate results. The new ...
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 ...
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 ...
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 ...