(Press-News.org) REDWOOD CITY, Calif. — October 28, 2025 — Today, the Chan Zuckerberg Initiative (CZI) and NVIDIA announced an expanded collaboration to accelerate life science research by driving development and adoption of virtual cell models through tools, data, models, and benchmarks delivered through CZI’s virtual cells platform (VCP). Core to this collaboration is an effort to scale biological data processing to petabytes of data spanning billions of cellular observations, enabling next-generation model development that will unlock new insights about human biology.
The burgeoning field of virtual cell model development is rapidly evolving with the continued generation of large-scale, multi-modal biological datasets that are ripe for AI-driven insights about health and disease. CZI’s VCP lowers the barriers for biologists to apply AI to specific biological tasks while enabling AI/machine learning researchers to rapidly iterate and improve model quality. AI and life science leaders like CZI, combined with NVIDIA’s AI and accelerated computing expertise, can supercharge the development of virtual cell models. This includes scaling harmonized data within the VCP, providing the infrastructure and technical capacity to optimize training, and further expanding the scope and accessibility of datasets and models available to the scientific community.
"Our collaboration with NVIDIA is a significant step forward in our mission to harness the power of AI for biological discovery," said Ram Balasubramanian, VP of science technology at CZI. "By combining our expertise in biological data generation and model development with NVIDIA's leadership in accelerated computing, we can provide researchers with the infrastructure and tools they need to make novel discoveries about human biology and ultimately solve disease."
The new tools and resources being announced as part of the expanded collaboration include:
Scaling Data Processing: Generation and harmonization of large biological datasets have proven to be a bottleneck for AI applications for science. To increase the scale and breadth of data available to the scientific community, CZI and NVIDIA will collaborate to scale biological data processing to billions of data points, leveraging GPU-accelerated tools. This will enable CZI to produce large-scale datasets for virtual cell model development and create robust data platforms to support large-scale data publishing, exploration, and ecosystem development.
Accelerating Cutting-Edge Model Development: Multi-modal, multi-scale, and multi-domain modeling will be critical to achieve comprehensive and holistic insights that reflect the complex, interconnected nature of a physical cell. CZI’s virtual cell modeling teams have developed state-of-the-art virtual cell models such as rBio, GREmLN, and TranscriptFormer. As CZI scales data generation, they will also increase the scale and scope of their virtual cell models across multiple scales of biology. CZI and NVIDIA will work together to scale and accelerate virtual cell model development using NVIDIA technology.
Accessing AI Models and Data through CZI’s virtual cells platform (VCP): CZI’s VCP is an open-source platform that makes it easy to find and access data, models, and AI-powered biological analysis tools built by CZI and the broader scientific community to accelerate biological discovery. CZI’s VCP hosts state-of-the-art virtual cell models developed by CZI and collaborators, including NVIDIA Clara Open Models such as MONAI-based imaging models and CodonFM, an RNA foundation model, which are being offered on the platform for the first time, creating a unified ecosystem for open, reproducible biological AI research. The platform also includes cz-benchmarks, an open source Python package co-developed with NVIDIA that allows model developers to spend less time figuring out how to evaluate their models and more time improving them to solve real biological problems.
"We are collaborating with CZI to provide advanced AI computing infrastructure, domain-specific software, and deep expertise in data processing, model scaling and deployment — all to enable a new generation of AI-powered models that accelerate discovery in biology," said Rory Kelleher, senior director and global head of business development for life sciences at NVIDIA. "By supporting CZI's efforts to create open, community-driven resources, we are helping to ensure that these powerful tools can be used by scientists everywhere to solve some of the most complex challenges in medicine."
Researchers can access rich datasets, cutting-edge AI models, tools, and benchmarks today through CZI’s open and freely available virtual cells platform.
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About the Chan Zuckerberg Initiative
The Chan Zuckerberg Initiative was founded in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education, to addressing the needs of our local communities. Our mission is to build a better future for everyone. For more information, please visit chanzuckerberg.com.
Press Contact
Chan Zuckerberg Initiative
Amanda Mahoney, 650-785-5478
amahoney@chanzuckerberg.com
END
(Toronto and Little Rock, October 16, 2025) JMIR Publications, a premier open access publisher of digital health research, and The MidSouth Computational Biology and Bioinformatics Society (MCBIOS), a leading professional organization for computational biology and bioinformatics, today announced a strategic, long-term partnership. This agreement formally designates JMIR Bioinformatics and Biotechnology as the official journal of MCBIOS.
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OAK BROOK, Ill. – In a study of more than 100,000 screening mammograms, researchers demonstrated the potential of an AI tool to help identify women at higher risk of developing interval breast cancers, breast cancer that is diagnosed between regular screening mammograms. Results of the new study were published today in Radiology, a journal of the Radiological Society of North America (RSNA).
“Interval cancers generally have a worse prognosis compared with screen-detected cancers, because they tend to be ...
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Key takeaways:
USF researchers used AI and citizen science to identify what may be the first Anopheles stephensi mosquito ever detected in Madagascar — a species capable of spreading deadly malaria across urban Africa.
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HOUSTON, Oct. 28, 2025 – The American Pediatric Society (APS) proudly announces Bruce D. Gelb, as the recipient of the 2026 APS John Howland Award, the highest honor bestowed by the Society. Widely regarded as the most prestigious recognition in academic pediatrics, the award celebrates Dr. Gelb’s outstanding contributions to advancing child health and the field of pediatrics.
Established in 1952 to honor clinician-scientist John Howland, MD, the APS John Howland Award annually recognizes individuals for their distinguished service to pediatrics. Dr. Gelb will be formally honored during the APS Presidential Plenary at ...
