Arc News

Introducing Evo, a biological foundation model that generalizes across the fundamental languages of biology: DNA, RNA, and proteins. Evo is capable of both prediction tasks, and generative design from molecular to whole genome scale.

Forbes

TED Talk

“There’s a huge unmet need in reducing the mortality rate of breast cancer,” said Li. “By identifying ENPP1’s role in suppressing the body’s immune response, our research is a significant step toward providing another effective treatment for patients living with breast cancer.”

At Arc, we're investing heavily in the infrastructure and expertise required to push forward the frontier of machine learning in biology across our faculty and Technology Centers. Part of our vision to advance the use of machine learning in biomedical research is to develop and disseminate computational resources and tools that enable reproducibility and support discovery throughout the scientific community.