Millions of cells can be analyzed by Artificial Intelligence in Biomedicine
The group tested over 20 million individual cells using both self-supervised learning techniques, then contrasted the outcomes with those of traditional learning techniques.
The group tested over 20 million individual cells using both self-supervised learning techniques, then contrasted the outcomes with those of traditional learning techniques.
The goal is to produce an essential instrument that will assist researchers globally in understanding more about human health and illness.