AI 生成假设的速度已超过湿实验室验证能力。Tetsuwan 构建了浏览器端云生物学平台:研究者上传或描述实验协议,添加样本、体积、浓度、处理条件、仪器设置等变量,ResearchOS 将其转化为可编辑的实验规范,再编译为机器人可执行脚本(PDL/VDL 语言捕获流程与变量上下文,Ariadne 转为机器人指令)。用户可远程审查与模拟,随后云实验室自动执行,无需进入物理实验室。平台经两年试点验证,今年晚些时候将上线首项服务,聚焦蛋白质设计功能筛选。
This is so cool. Tetsuwan is building a browser-based cloud biology lab.
Because, AI can now generate hypotheses faster than wet labs can test them
- So with Tetsuwan, the researcher uploads or describes a protocol, adds variables like samples, volumes, concentrations, treatments, and instrument settings, and ResearchOS turns that into an editable experiment specification.
- That specification is then compiled into a robot-executable automation script; Tetsuwan also says its PDL and VDL languages capture the procedure and variable context, while Ariadne turns the finalized syntax into robot instructions.
- Before the run, the user can review and simulate the protocol, then the cloud lab executes it without the researcher physically entering the lab.
Software became powerful because instructions could be copied, inspected, rerun, and improved without depending on the hand of the person executing them.
Wet-lab biology has never fully had that luxury, but now things are changing.
Automating the lab bench is the best thing we can do for AI in biology. Most experiments are still run by hand. Every biologist's handiwork is unique and every lab is a little different. So, biology faces widespread reproducibility issues. But, AI will demand more reproducible data than we can produce, and generate more ideas than we can test. Experiments must be communicated and executed in a standardized way to generate reproducible data. So, Tetsuwan is building a lab where users specify experiments in an exact syntax. These experiments are executed by an automated platform to generate transparent, reproducible output. The user never needs physical access to a lab. This is a biology lab you can use like a computer. Our platform, built and tested with pilot labs over the past two years, lets users configure automated workflows rapidly & precisely. Later this year, we will bring our first services online, focusing on functional screens for protein design. Alex and I met at Caltech, where she was one year my senior. We're building this company because we were little kids who wanted to be biologists that grew up into adults who resented the lab bench. We want biology to be about asking questions, not the painful and frustrating manual process of asking them. For those looking to receive updates on our pilot services, looking for a meaningful job, or just to learn more about our work, see the links in the comments!在 X 查看被引用的帖子
来源:Rohan Paul · x.com