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Google DeepMind·· 2026-05-16AI 评分29

Co-Scientist 汇聚跨学科生物工具箱,开辟 ALS 治疗新路径

Uniting biological toolkits for a new approach to ALS

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Co-Scientist 促成 MIT 与波士顿儿童医院研究者跨学科合作,联手探索 ALS 新疗法。它将原本需数月的文献梳理工作压缩,快速生成可检验的假设,并按可行性与风险回报排序研究方向。两人正结合组织工程与细胞表面 RNA 图谱技术,寻找可靶向 ALS 的新型 RNA 机制及潜在 RNA 药物。

正文

Ritu Raman at MIT and Ryan Flynn at Boston Children's Hospital approach human biology with very different toolkits, but Co-Scientist is bridging their labs. Raman, a mechanical engineer, builds living nerve and muscle tissues to model diseases that affect voluntary movement. Her husband Flynn, a chemical biologist, maps RNA on the surface of cells to see how it influences cellular communication and how pathogens invade.

When Raman decided to investigate ALS, which was outside of her usual domain, she faced a sprawling, contradictory literature that would usually take months to grasp. Co-Scientist compressed that work, quickly helping Raman interrogate the evidence in relation to her tissue model, turn ideas into testable hypotheses, and rank potential directions in accordance with the trade-offs labs actually face, such as feasibility and potential risk–reward.

But Co-Scientist’s best leads came with a catch: they involved what happens at the surface of cells, where much of their communication is mediated. Raman could manipulate tissues and measure outcomes, but decoding the molecular interactions driving those signals was outside her area of expertise.

That gap became the catalyst for collaboration. Raman brought her new research directions to Flynn, and the pair used Co-Scientist iteratively, combining its best ideas into creative research pathways that united their distinct toolkits. To develop new therapies, their hunt is now on for novel RNA-based mechanisms—and potentially RNA-based drugs—that could be used to target ALS.

来源:Google DeepMind · deepmind.google