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stories from the front lines of discovery
From scientific breakthroughs to new open‑source tools, the Allen Institute’s work is reshaping how science is done—and who it’s for. Explore the latest news, stories, and highlights from across our research, partnerships, and open science efforts.
AI BioDesign accelerator combines experimental biology and artificial intelligence to learn nature’s design rules
Researchers from the Allen Institute, University of Washington, and Fred Hutch Cancer Center, supported by Fund for Science and Technology, will build open AI models, datasets, and tools to accelerate biological design for health, sustainability, and other global challenges
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A comprehensive 'parts list' of the brain built from its components, the cells
In-depth analysis sorts cells from the cerebral cortex into 133 types, lays groundwork to explore function.
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Reflections on the beginnings of the Allen Institute
The Allen Institute houses some impressive statistics behind its glassy facade: more than 2.7 million high-resolution science images and nearly 1,400 hours of movies of brain activity shared with the global scientific community.
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In memoriam: Allen Institute founder Paul G. Allen
Allen Institute founder Paul G. Allen died on Monday afternoon, October 15, 2018, from complications of non-Hodgkin’s lymphoma in Seattle. He was 65...
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15 things you may not know about the Allen Institute
In September 2003, the Allen Institute - at the time, the Allen Institute for Brain Science - launched with just four employees, three-year job...
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Allen Institute Releases Data from 30,000 Brain Cells in Action
The Allen Institute for Brain Science today announced new data aimed at helping researchers understand the various types of cells in the brain and how cells compute visual information.
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5 things we (still) don't know about cells
Picture one of your cells. If you’re not a biologist, chances are you’re thinking about the fried-egg-reminiscent illustration from your grade...
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Machine Learning Technique to Predict Human Cells' Organization Published in Nature Methods
Artificial intelligence approach could be used in cancer biology, regenerative medicine.
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A summer camp for computational neuroscience
On a small hill overlooking the Salish Sea, a group of students trickle into the dining hall of the University of Washington’s Friday Harbor Labs,...
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Scientists identify a new kind of human brain cell
One of the most intriguing questions about the human brain is also one of the most difficult for neuroscientists to answer: What sets our brains apart...
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Neuroscience data joins the cloud
Neuroscientists and open data experts have teamed up to make a new, and large set of mouse brain data publicly available and open for analysis on the...
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Scientific American: First Atlas of Every Mouse Brain Cell Could Improve Neuro Disease Treatments
Neuroscientists have unveiled their most comprehensive and detailed map of cell types across the entire mouse brain, delivering the latest results of a six-year-long scientific effort in which Seattle’s Allen Institute has played a leading role.
Quanta Magazine: New Cell Atlases Reveal Untold Variety in the Brain and Beyond
(Photo credit: Peter Greenwood for Quanta Magazine.) Recent efforts to map every cell in the human body have researchers floored by unfathomable diversity, with many thousands of subtly different types of cells in the human brain alone.
Seattle Times: Research that brings AI into human cells will soon expand in Seattle
The Seattle Hub for Synthetic Biology, set to open in January, is a result of collaboration between the Allen Institute, the Chan Zuckerberg Initiative and the University of Washington that aims to build new technologies to record the history of our bodies’ cells.
Yahoo News: Allen Frontiers Group awards $10M to set up research center for neuroimmunology
The neuroimmunology research center will be led by Brian Kim of Mount Sinai and David Artis of Weill Cornell Medicine. They’ll bring together a multidisciplinary team to trace interactions between the nervous system and the immune system that occur at sites distant from the brain.
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