Chan Zuckerberg Biohub Network

Chan Zuckerberg Biohub Network

Research Services

San Francisco, California 30,218 followers

Accelerating science and developing new technologies to cure, prevent, or manage all disease by the end of the century.

About us

The Chan Zuckerberg Biohub Network is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The CZ Biohub Network focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. CZ Biohub San Francisco — which was the inaugural Biohub and launched in 2016 — works on elucidating dynamic cell systems across scales in health and disease, joining forces with the Bay Area’s leading academic institutions — Stanford University, UC Berkeley, and UC San Francisco — to do bold, visionary science that can’t be done elsewhere. CZ Biohub Chicago, which launched in 2023, focuses on engineering technologies to make precise, molecular-level measurements of biological processes within human tissues, with an ultimate goal of understanding and treating the inflammatory states that underlie many diseases. It catalyzes collaboration between the University of Chicago, Northwestern University, and the University of Illinois Urbana-Champaign. CZ Biohub New York, which launched in 2023, brings together Columbia University, The Rockefeller University, and Yale University to bioengineer immune cells to sense and record signals of disease and adapt these cells to spot diseases such as lethal cancers and Alzheimer’s in their earliest stages, long before they are usually diagnosed.

Website
http://www.czbiohub.org
Industry
Research Services
Company size
201-500 employees
Headquarters
San Francisco, California
Type
Nonprofit
Founded
2016
Specialties
Biochemistry, Bioengineering, Bioinformatics, Biomedical Research, Biophysics, Cell Atlas, CRISPR, Genetics, Genomics, Infectious Disease, inflammation, machine learning, metagenomics, software engineering, metabolomics, microscopy, data science, and AI

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