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?

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 ...

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 ...

Scientists have discovered that neural stem cells (NSCs) receive constant feedback from their daughter cells, influencing whether they remain dormant or activate to form new neurons and glia.

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 ...

Automate the entire cell culture process to improve workflows and make assays more reliable and reproducible. The CellXpress.ai™ Automated Cell Culture System is an AI-driven cell culture innovation ...

“If you use a Google maps analogy,” explains Alex Ward, PhD, co-founder of Tolemy Bio. “Then we’re bypassing bottlenecks in the route to cell growth by manipulating metabolic processes by designing a ...

Inventia Life Science, an innovator in 3D cell culture technologies, announces the launch of RASTRUM™ Allegro, a groundbreaking advancement in 3D cell culture technology designed to accelerate drug ...

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 ...