Claude for Life Sciences, launched by Anthropic, has significantly improved scientific research capabilities. The latest updates, particularly with Opus 4.5, have enhanced figure interpretation and computational biology, making Claude a valuable tool for scientists. Through the AI for Science program, leading researchers gain access to free API credits, allowing them to integrate Claude into various stages of their projects. This integration has led to more efficient research processes, enabling scientists to quickly identify experiments, compress timelines, and analyze large datasets—tasks that previously took months now occur in hours. Biomni, a project from Stanford University, exemplifies this advancement. It consolidates numerous biological tools and databases into one interface, allowing researchers to interact with it in plain English. In a notable case, Biomni sped up a genome-wide association study from months to just 20 minutes. Validation studies show its accuracy, matching experienced researchers in experimental design and data analysis. While not flawless, Biomni includes mechanisms to correct mistakes and can be trained to follow expert methodologies. Other labs, such as Iain Cheeseman’s at MIT, are developing specialized systems to tackle specific challenges. Cheeseman's lab uses CRISPR to knock out thousands of genes in human cells, generating immense data that requires careful interpretation. The lab created Brieflow to automate pattern detection in images but still relied on human expertise for analysis. To streamline this, PhD student Matteo Di Bernardo developed MozzareLLM, a Claude-powered system that mimics Cheeseman’s analytical approach. This system accelerates gene interpretation, helping to identify which gene clusters warrant further investigation.