Biomedical Research

When we talk about AI in science, most imaginations stop at the screen — algorithms simulating molecules, predicting reactions, or summarizing literature. But in LabOS, AI finally steps off the screen and into the lab. It doesn’t just compute hypotheses; it helps perform them. The Missing Half of Scientific Intelligence For decades, computation and experimentation have formed two halves of discovery — theory and touch, model and pipette. AI has supercharged the former, giving us AlphaFold and generative chemistry, but the physical laboratory has remained stubbornly analog. Robotic automation can execute predefined tasks, yet it lacks situational awareness — it can’t see contamination, notice a wrong reagent, or adapt when a human makes an unscripted move. ...

When was the last time a machine truly surprised you—not with a quirky ChatGPT poem or a clever image generation, but with scientific reasoning that evolved on its own? Meet STELLA, an AI agent for biomedical research that doesn’t just solve problems—it gets better at solving them while solving them. The Static Curse of Smart Agents Modern AI agents have shown promise in navigating the labyrinth of biomedical research, where each inquiry might require cross-referencing papers, running custom bioinformatics analyses, or interrogating molecular databases. But the vast majority of these agents suffer from a fatal limitation: they rely on static, pre-installed toolkits and hard-coded logic trees. Like a PhD student who memorized a textbook but never updated it, they can’t adapt to new tasks or new knowledge without human intervention. ...