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 ...

For this purpose, machine learning methods are applied ... learning as a promising approach for testing 20 million cells or more. In recent years, researchers have made considerable progress ...

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.

“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 ...

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 ...

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 ...

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 ...

Machine learning was used to analyze the dataset and ... This study provides valuable insights into the factors influencing cell growth, thereby enhancing our understanding of universal principles.