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Google DeepMind News

Strengthening Singapore’s AI Future: A New National Partnership Simulate real-world places with Project Genie and Street View Introducing Gemini Omni Gemini for Science: AI experiments and tools for a new era of discovery Making it easier to understand how content was created and edited Gemini 3.5: frontier intelligence with action Co-Scientist: A multi-agent AI partner to accelerate research How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica Fast-tracking genetic leads to reverse cellular aging Finding the molecular switches behind new infectious diseases Opening new paths in aging research Accelerating discovery of liver disease mechanisms Uncovering repurposed medicines to fight liver fibrosis Google Antigravity We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields Enabling a new model for healthcare with AI co-clinician Announcing our partnership with the Republic of Korea Decoupled DiLoCo: A new frontier for resilient, distributed AI training Partnering with industry leaders to accelerate AI transformation Gemini 3.1 Flash TTS: the next generation of expressive AI speech Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning Protecting people from harmful manipulation From games to biology and beyond: 10 years of AlphaGo’s impact A new way to express yourself: Gemini can now create music Accelerating discovery in India through AI-powered science and education Accelerating Mathematical and Scientific Discovery with Gemini Deep Think D4RT: Teaching AI to see the world in four dimensions Veo 3.1 Ingredients to Video: More consistency, creativity and control Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior
Uniting biological toolkits for a new approach to ALS
2026-05-19 · via Google DeepMind News

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.