University of North Carolina Hospitals

09/15/2026 | Press release | Distributed by Public on 09/15/2026 06:29

UNC Lineberger Secures $40M from OpenAI Foundation to Make Cancer Vaccines More Effective

UNC researchers will use AI to speed development of personalized cancer vaccines and share findings with cancer researchers and oncologists worldwide.

Credit: OpenAI Foundation

CHAPEL HILL, N.C., Sept. 15, 2026 - UNC Lineberger Comprehensive Cancer Center has received $40 million from the OpenAI Foundation, the non-profit parent organization that governs the for-profit company OpenAI Group PBC, to generate data that could make personalized cancer vaccines more effective.

Cancer vaccines are emerging as a promising frontier in cancer medicine but designing them effectively remains a challenge. Immunologist Benjamin Vincent, MD, and computational biologist Alex Rubinsteyn, PhD, are gathering clinical data to train AI models that can identify stronger cancer-cell targets and guide the development of more precise, personalized vaccines.

Alex Rubinsteyn, PhD

"Personalized cancer vaccines are finally starting to show signs of clinical efficacy, but many fail in the development process because they are too arbitrary," said Rubinsteyn, who is an expert in machine learning and computational medicine at the UNC School of Medicine. "Our goal is to help the world design personalized and more effective cancer vaccines, using the power of rich data and artificial intelligence."

The announcement comes as the OpenAI Foundation launches its second science program, Public Data for Health. The initiative supports high-quality, open-access scientific datasets that researchers and AI tools worldwide can use to advance life science and disease research for the public good.

"AI has enormous potential to help researchers design better cancer treatments, but that progress depends on having the right biological data to learn from," said Jacob Trefethen, Head of Life Sciences and Curing Diseases at the OpenAI Foundation. "UNC's work will generate data that researchers don't have at the scale they need today and make those findings broadly available so scientists around the world can build on them. By giving the broader scientific community a stronger foundation to work from, we hope to open up new possibilities for cancer research and ultimately help more patients benefit from advances that once felt out of reach."

Cancer vaccines are designed using tumor cells and immune cells derived from a patient. Proteins on the surface of tumors are of particular interest to researchers, as they act much like a red flag in a bull fighting ring. Vaccines can be used to train the immune response to recognize these red flags and create a highly coordinated attack on cancer cells.

Benjamin Vincent, MD

But performing such a task for any given cancer patient - each with their own specific cancer type and immune responses - requires complex scientific machinery, time, and, of course, data analysis. Vincent and Rubinsteyn aim to expedite this process by analyzing hundreds of de-identified tumor tissue and immune cells from three biobanks.

These data will be used to train improved AI-based methods for selecting tumor antigens for inclusion in personalized vaccine therapies. In parallel, researchers will compare multiple vaccine formulations in clinical trials for their ability to raise tumor-specific immune responses in triple-negative breast cancer.

"Selecting tumor antigens that are actually good targets, and understanding the relative potency of vaccine formulations for personalized therapy, are big problems in the field which our work will address," said Vincent, who is a member of the Immunology and Immunotherapy Research Program at UNC Lineberger Comprehensive Cancer Center.

If successful, the research could set the foundation for future vaccine candidates and speed up the rate at which personalized cancer vaccines can get into the hands of oncologists.

Media contact: Kendall Rovinsky, Communications Specialist, UNC Health | UNC School of Medicine

About UNC Lineberger Comprehensive Cancer Center

The Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill is North Carolina's only public National Cancer Institute-designated Comprehensive Cancer Center and one of only 58 comprehensive cancer centers in the nation recognized by the National Cancer Institute. UNC Lineberger brings together physicians, scientists and health professionals from more than 40 departments and schools across UNC-Chapel Hill to advance discoveries that improve the prevention, detection and treatment of cancer. As the research engine driving innovative cancer clinical services at UNC Health, UNC Lineberger connects groundbreaking laboratory science with new clinical trials, patient-centered care and community-based initiatives that improve cancer outcomes across North Carolina and beyond. Rated as Exceptional - the highest category awarded by the National Cancer Institute - UNC Lineberger is dedicated to reducing the burden of cancer through research, education, clinical excellence and bidirectional community engagement.

About OpenAI Foundation

OpenAI Foundation is a charitable organization dedicated to ensuring AI benefits all of humanity. The Foundation supports initiatives advancing scientific discovery, strengthening civil society, and building resilience through responsible AI. Through grants, partnerships, and other philanthropic initiatives, the Foundation helps accelerate work that creates lasting public benefit and expands access to AI's transformative potential. OpenAI Foundation is a separate nonprofit corporation from OpenAI PBC that operates independently in support of its charitable mission. Learn more at www.openaifoundation.org.

University of North Carolina Hospitals published this content on September 15, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on September 15, 2026 at 12:29 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]