We are inspired by the ability of AI to help tackle the grand challenges in science. At Google, we have a unique opportunity to accelerate scientific progress by using AI to help transform healthcare, advance towards a more sustainable future, and drive breakthroughs in natural sciences. Our research scientists and engineers collaborate with research institutions around the globe and share our progress in scientific publications and open source releases. Together, our aim is to enable scientific innovation for a better world.
Powering a new era of discovery with AI
Gemini for Science is a new collection of science tools and experiments to expand the scale and precision of scientific exploration. Explore a new era of discovery with new Science Skills in Google Antigravity and three new experimental tools on Google Labs designed to help accelerate core steps of the scientific method.
A multi-agent AI partner to accelerate research
We believe AI can help dramatically accelerate the pace of breakthroughs by serving as a dedicated partner in the generation and refinement of breakthrough scientific hypotheses. Co-Scientist is a new multi-agent system built with Gemini that helps researchers accelerate scientific breakthroughs.
Gary Peltz, a geneticist at Stanford University, is using Co-Scientist to accelerate the search for liver fibrosis treatments. By analyzing biomedical literature, the AI system highlighted overlooked drug-repurposing candidates, including one that successfully blocked 91% of a scarring-linked response in lab tests. The results point toward new gene-regulating approaches to treat chronic liver disease.
Co-Scientist helped unite Ritu Raman and Ryan Flynn’s labs around the degenerative disease, ALS. The system helped Ritu quickly digest complex literature, propose testable ideas, and spot where complementary expertise could strengthen the best leads, sparking collaboration with Ryan on potential RNA-based approaches to ALS.
Biologists Omar Abudayyeh and Jonathan Gootenberg are using Co‑Scientist to speed up research on reversing cellular aging. The system synthesises decades of literature to propose novel genetic leads that in lab tests have been shown to rejuvenate cells. It also slashes the time needed to analyse huge screening datasets, from months to days.
Filippo Menolascina, a bioengineer at the University of Edinburgh, is using Co-Scientist to turn biomedical literature overload into high-quality hypotheses for metabolic liver disease. The system highlighted promising disease mechanisms and drug combinations, and helped explain why an existing drug benefits only some patients — an idea later supported by Menolascina’s lab tests.
At Calico Life Sciences, Matt Onsum and Katherine Labbé are using Co-Scientist to tackle one of medicine’s hardest problems: the biology of aging. The AI system has impressed Calico’s experts with its scientific discernment, including by generating an exciting novel hypothesis about the integrated stress response that was later confirmed in the lab.
Clare Bryant, an immunologist at the University of Cambridge, is using Co-Scientist to help her identify the proteins that cause severe disease when pathogens like flu and Covid-19 leap from animals to humans. Iterating with the AI tool, she rapidly narrowed the hunt to specific amino acids her lab will test — potentially cutting years of experimental work down to months.
Mapping the brain to solve the mysteries of the mind
How does the group of cells that form a brain work together to bring thoughts, movements, and feelings to life? To help answer this question, Google researchers are using AI to create some of the most detailed maps of brains ever made — enabling new insights about how neurons network to share and process information, and revealing never-before-seen discoveries.
Marking ten years of connectomics research at Google, we published in Science the first large-scale reconstruction of a small piece of the human brain at the synaptic level. We presented several new neuron structures discovered in the data, and we opened the dataset and software tools to the scientific community for continued discovery.
AlphaGenome Atlas is the most comprehensive map of single-letter variant changes in the human genome. Atlas simplified variant prioritisation with the AlphaGenome Variant Impact (AVI) score, allowing researchers to quickly prioritize between different variants, while also interpreting molecular effects across all genetic code, both those that produce proteins and control gene activity. It’s available to disease researchers around the world.
