The Biodiversity Collections Network (BCoN), in collaboration with the American Institute of Biological Sciences (AIBS), has developed a comprehensive roadmap toward an integrated biological and ...

In a move to advance the frontiers of artificial intelligence, the Quantitative Biology journal has published a commentary titled "Current Opinions on Large Cellular Models," highlighting the ...

FDA guidance encouraging reduced reliance on animal models in preclinical research reflects a well-intentioned push toward more ethical, human-relevant science. Central to this evolution is the ...

Common Species Embedded Networks (CSEN) analysis compares reaction networks through their shared proteins and chemicals, allowing researchers to uncover structural similarities across biological ...

This review provides an overview of artificial intelligence–enabled biological models, focusing on their applications in designing biological molecules and systems. We review foundation models that ...

Concerns over the biosecurity risks posed by artificial intelligence (AI) models in biology continue to grow. Amid this concern, Doni Bloomfield and colleagues argue, in a Policy Forum, for improved ...