How scientists are using Claude to accelerate research and discovery (www.anthropic.com)

Scientists are increasingly leveraging Claude, particularly the Claude for Life Sciences suite, to enhance research capabilities across various domains. The latest Opus 4.5 model shows marked improvements in key areas such as figure interpretation and computational biology, allowing researchers to streamline complex tasks ranging from running experiments to analyzing large datasets. Partnerships with academia and the free API credits offered through the AI for Science program enable researchers to utilize Claude as a research collaborator, not just an assistant. Claude’s ability to eliminate bottlenecks has profound implications, reshaping traditional workflows and accelerating the discovery of novel scientific insights. One notable application is Biomni, an AI platform that consolidates numerous tools and databases, automatically selecting resources to aid in hypothesis formation and experiment design. In tests, Biomni significantly reduced the time required for complex analyses like genome-wide association studies, performing tasks in minutes that typically take researchers weeks to complete. Additionally, the Cheeseman Lab’s MozzareLLM system uses Claude to analyze large-scale gene knockout experiments, automating interpretation and speeding up the discovery process. Lastly, the Lundberg Lab is exploring how Claude can improve gene selection through a molecular properties map, aiming to validate its effectiveness against traditional methods. Together, these innovations reflect a paradigm shift in scientific research facilitated by AI, promising to enhance both efficiency and accuracy in exploring biological phenomena.