The Harvard T.H. Chan School of Public Health and the Human Vaccines Project announced the Human Immunomics Initiative (HII) this week, a joint project that aims to revolutionize the understanding of the human immune system and accelerate the creation of effective vaccines, diagnostics, and treatments.

HII will bring together Chan School experts in epidemiology, causal inference, immunology, and computational and systems biology with the resources and expertise of the Human Vaccines Project, a global, nonprofit, human immunology-based clinical research consortium. HII will develop artificial intelligence-powered models of immunity that can be used to accelerate the design and testing of vaccines and therapeutics for a wide range of diseases.

Vaccine development has again entered the global spotlight as the world waits for a COVID-19 vaccine. With advances in computing and artificial intelligence, genomics, systems biology, and bioinformatics, HII aims to decode the underlying mechanisms and rules of how the human immune system fights disease. HII will specifically focus on determining the principles of effective immunity in aging populations, the world’s largest growing demographic that has an immense disease burden and high morbidity and mortality in the current COVID-19 pandemic.

“Successful vaccination requires four components — knowing the vaccine target, what kind of immune response you want, how to generate that response, and understanding responses in the people who you want to vaccinate,” said Sarah Fortune, chair of Harvard Chan’s Department of Immunology and Infectious Diseases. “We understand a lot about the first two elements and very little about the last two. But by addressing these critical knowledge gaps, we envision a day when there are modular blueprints for successful vaccines that speed the process and increase likelihood of success.”

The insights gained through HII will pave the way for artificial intelligence-powered models that allow researchers to virtually test potential vaccines, and predict what vaccines and therapies might work best across populations. This could massively speed up vaccine and drug development, and lower costs spent on testing and trials.

“The way we fight disease is broken — we launch into disease-specific battles without understanding the rules that affect our chances of success,” said Michelle A. Williams, Dean of Harvard T.H. Chan School of Public Health. “The Human Vaccines Project set out to change that by decoding the human immunome, and we are already seeing initial findings from their tremendous work.”

HII will combine new testing techniques with advanced biological and computational science to model immunity across populations. The pilot phase of the initiative will examine how immunity changes with age, and how to predict or improve immune responses among aging adults.

“Decline or dysfunction of the immune system among people age 70 and older is a major public health issue as the global population ages. We are seeing this acutely now with COVID-19, which is mostly spread by younger people, but which older people die from at much higher rates,” said Jaap Goudsmit, adjunct professor of epidemiology and infectious diseases at Harvard Chan School and chief scientific officer of the Human Vaccines Project.

“The world’s population is aging at unprecedented rates, significantly increasing the burden of non-communicable diseases and vulnerability to infectious diseases, as evidenced by the current COVID-19 pandemic,” added Wayne C. Koff, president and CEO of the Human Vaccines Project. “The complexity of the human immune system has confounded efforts to prevent and control diseases in aging populations, and this collaboration will marry expansive data collection through clinical research with new technologies and cutting-edge science to catalyze new approaches to fighting major global diseases.”

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